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You searched for subject:(Neural activity). Showing records 1 – 30 of 104 total matches.

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Southern Illinois University

1. Coen, Paul Dixon. Human Activity Recognition and Prediction using RGBD Data.

Degree: MS, Computer Science, 2019, Southern Illinois University

  Being able to predict and recognize human activities is an essential element for us to effectively communicate with other humans during our day to… (more)

Subjects/Keywords: Artificial Intelligence; CAD-120; Convolutional LSTM; Human Activity; Neural Networks; RGBD Data

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APA (6th Edition):

Coen, P. D. (2019). Human Activity Recognition and Prediction using RGBD Data. (Masters Thesis). Southern Illinois University. Retrieved from https://opensiuc.lib.siu.edu/theses/2562

Chicago Manual of Style (16th Edition):

Coen, Paul Dixon. “Human Activity Recognition and Prediction using RGBD Data.” 2019. Masters Thesis, Southern Illinois University. Accessed December 16, 2019. https://opensiuc.lib.siu.edu/theses/2562.

MLA Handbook (7th Edition):

Coen, Paul Dixon. “Human Activity Recognition and Prediction using RGBD Data.” 2019. Web. 16 Dec 2019.

Vancouver:

Coen PD. Human Activity Recognition and Prediction using RGBD Data. [Internet] [Masters thesis]. Southern Illinois University; 2019. [cited 2019 Dec 16]. Available from: https://opensiuc.lib.siu.edu/theses/2562.

Council of Science Editors:

Coen PD. Human Activity Recognition and Prediction using RGBD Data. [Masters Thesis]. Southern Illinois University; 2019. Available from: https://opensiuc.lib.siu.edu/theses/2562


San Jose State University

2. Narkhede, Anish Hemant. Human Activity Recognition Based on Multimodal Body Sensing.

Degree: MS, Computer Science, 2019, San Jose State University

  In the recent years, human activity recognition has been widely popularized by a lot of smartphone manufacturers and fitness tracking companies. It has allowed… (more)

Subjects/Keywords: Classification; dimensionality reduction; neural networks; human activity recognition; Artificial Intelligence and Robotics

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APA (6th Edition):

Narkhede, A. H. (2019). Human Activity Recognition Based on Multimodal Body Sensing. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.zq8y-564m ; https://scholarworks.sjsu.edu/etd_projects/682

Chicago Manual of Style (16th Edition):

Narkhede, Anish Hemant. “Human Activity Recognition Based on Multimodal Body Sensing.” 2019. Masters Thesis, San Jose State University. Accessed December 16, 2019. https://doi.org/10.31979/etd.zq8y-564m ; https://scholarworks.sjsu.edu/etd_projects/682.

MLA Handbook (7th Edition):

Narkhede, Anish Hemant. “Human Activity Recognition Based on Multimodal Body Sensing.” 2019. Web. 16 Dec 2019.

Vancouver:

Narkhede AH. Human Activity Recognition Based on Multimodal Body Sensing. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 16]. Available from: https://doi.org/10.31979/etd.zq8y-564m ; https://scholarworks.sjsu.edu/etd_projects/682.

Council of Science Editors:

Narkhede AH. Human Activity Recognition Based on Multimodal Body Sensing. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.zq8y-564m ; https://scholarworks.sjsu.edu/etd_projects/682

3. Latorre, Roberto. Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures.

Degree: 2019, Nature Research (part of Springer Nature)

Subjects/Keywords: Neural information processing; Patterns of sequential activity; Bursting neurons; Neural signature; Presynaptic activation; Informática

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APA (6th Edition):

Latorre, R. (2019). Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures. (Thesis). Nature Research (part of Springer Nature). Retrieved from http://hdl.handle.net/10486/686656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Latorre, Roberto. “Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures.” 2019. Thesis, Nature Research (part of Springer Nature). Accessed December 16, 2019. http://hdl.handle.net/10486/686656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Latorre, Roberto. “Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures.” 2019. Web. 16 Dec 2019.

Vancouver:

Latorre R. Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures. [Internet] [Thesis]. Nature Research (part of Springer Nature); 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/10486/686656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Latorre R. Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures. [Thesis]. Nature Research (part of Springer Nature); 2019. Available from: http://hdl.handle.net/10486/686656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Rychtárik, Martin. Klasifikace signálů denní aktivity .

Degree: 2019, Brno University of Technology

 Tématem této bakalářské práce je klasifikace signálů denní aktivity nasnímaných pomocí akcelerometrického senzoru chytrého mobilního telefonu. První část práce se zabývá seznámením s možnostmi záznamu… (more)

Subjects/Keywords: klasifikace denní aktivity; denní aktivita; nositelná zařízení; chytrý mobilní telefon; akcelerometr; neuronová síť; free living data classification; daily activity; wearable devices; smartphone; accelerometer; neural network

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APA (6th Edition):

Rychtárik, M. (2019). Klasifikace signálů denní aktivity . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173621

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rychtárik, Martin. “Klasifikace signálů denní aktivity .” 2019. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/173621.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rychtárik, Martin. “Klasifikace signálů denní aktivity .” 2019. Web. 16 Dec 2019.

Vancouver:

Rychtárik M. Klasifikace signálů denní aktivity . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/173621.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rychtárik M. Klasifikace signálů denní aktivity . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173621

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kristianstad University

5. Nardi, Paolo. Human Activity Recognition : Deep learning techniques for an upper body exercise classification system.

Degree: Faculty of Natural Science, 2019, Kristianstad University

  Most research behind the use of Machine Learning models in the field of Human Activity Recognition focuses mainly on the classification of daily human… (more)

Subjects/Keywords: Human Activity Recognition; Deep Learning; Machine Learning; Exercise Classification; Convolutional Neural Network; Computer Engineering; Datorteknik

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APA (6th Edition):

Nardi, P. (2019). Human Activity Recognition : Deep learning techniques for an upper body exercise classification system. (Thesis). Kristianstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nardi, Paolo. “Human Activity Recognition : Deep learning techniques for an upper body exercise classification system.” 2019. Thesis, Kristianstad University. Accessed December 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nardi, Paolo. “Human Activity Recognition : Deep learning techniques for an upper body exercise classification system.” 2019. Web. 16 Dec 2019.

Vancouver:

Nardi P. Human Activity Recognition : Deep learning techniques for an upper body exercise classification system. [Internet] [Thesis]. Kristianstad University; 2019. [cited 2019 Dec 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nardi P. Human Activity Recognition : Deep learning techniques for an upper body exercise classification system. [Thesis]. Kristianstad University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

6. Dong, Yue. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.

Degree: MS, Medical Sciences, 2019, Boston University

 Recent estimates of prevalence of Autism Spectrum Disorders (ASD) in the United States exceeds 1.4%. Identifying neural correlates can provide important insight to help refine… (more)

Subjects/Keywords: Neurosciences; Autism spectrum disorders; Brain activity; Brain connectivity; fMRI; Intolerance of uncertainty; Neural correlates

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APA (6th Edition):

Dong, Y. (2019). FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/36351

Chicago Manual of Style (16th Edition):

Dong, Yue. “FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.” 2019. Masters Thesis, Boston University. Accessed December 16, 2019. http://hdl.handle.net/2144/36351.

MLA Handbook (7th Edition):

Dong, Yue. “FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.” 2019. Web. 16 Dec 2019.

Vancouver:

Dong Y. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. [Internet] [Masters thesis]. Boston University; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/2144/36351.

Council of Science Editors:

Dong Y. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. [Masters Thesis]. Boston University; 2019. Available from: http://hdl.handle.net/2144/36351


Arizona State University

7. Fu, Fanrui. Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging.

Degree: Biomedical Engineering, 2019, Arizona State University

Subjects/Keywords: Medical imaging; Neurosciences; Biomedical engineering; Aplysia; functional imaging; Microelectrode array; MREIT; MRI; Neural activity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, F. (2019). Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/53806

Chicago Manual of Style (16th Edition):

Fu, Fanrui. “Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging.” 2019. Doctoral Dissertation, Arizona State University. Accessed December 16, 2019. http://repository.asu.edu/items/53806.

MLA Handbook (7th Edition):

Fu, Fanrui. “Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging.” 2019. Web. 16 Dec 2019.

Vancouver:

Fu F. Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging. [Internet] [Doctoral dissertation]. Arizona State University; 2019. [cited 2019 Dec 16]. Available from: http://repository.asu.edu/items/53806.

Council of Science Editors:

Fu F. Ultrahigh Field Functional Magnetic Resonance Electrical Impedance Tomography (fMREIT) in Neural Activity Imaging. [Doctoral Dissertation]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/53806


Brno University of Technology

8. Ullrich, Petr. Analýza a klasifikace dat ze snímače mozkové aktivity .

Degree: 2019, Brno University of Technology

 Tato práce se zabývá problematikou snímání mozkové aktivity, implementací jejího zpracování, analýzy a klasifikace. Ke snímání je použit hardware společnosti OpenBCI. Nastudoval jsem a popsal… (more)

Subjects/Keywords: openbci; elektroencefalografie; EEG; neuronové sítě; klasifikace; zpracování signálu; signál; mozková aktivita; filtrování; openbci; electroencephalography; EEG; neural networks; classification; signal processing; signal; brain activity; filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ullrich, P. (2019). Analýza a klasifikace dat ze snímače mozkové aktivity . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ullrich, Petr. “Analýza a klasifikace dat ze snímače mozkové aktivity .” 2019. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/180225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ullrich, Petr. “Analýza a klasifikace dat ze snímače mozkové aktivity .” 2019. Web. 16 Dec 2019.

Vancouver:

Ullrich P. Analýza a klasifikace dat ze snímače mozkové aktivity . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/180225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ullrich P. Analýza a klasifikace dat ze snímače mozkové aktivity . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

9. Hlavačka, Martin. Zpracování dat ze senzorů wearable zařízení pomocí strojového učení .

Degree: 2019, Brno University of Technology

 Cieľom práce je analýza problematiky nositeľných zariadení s operačným systémom Android Wear a rozpoznávaní rôznych pohybových aktivít za pomoci neurónových sietí. Prvotným zameraním je teda… (more)

Subjects/Keywords: nositeľné zariadenia; inteligentné zariadenia; inteligentné hodinky; android wear; neurálna sieť; tensorflow; rozpoznávanie aktivít; accelerometer; python; konvolučné neurónové siete; strojové učenie; detekcia pohybu; wearables; smart devices; smart watches; android wear; neural network; tensorflow; activity recognition; accelerometer; python; convolutional neural networks; machine learning; movement detection

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APA (6th Edition):

Hlavačka, M. (2019). Zpracování dat ze senzorů wearable zařízení pomocí strojového učení . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hlavačka, Martin. “Zpracování dat ze senzorů wearable zařízení pomocí strojového učení .” 2019. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/180354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hlavačka, Martin. “Zpracování dat ze senzorů wearable zařízení pomocí strojového učení .” 2019. Web. 16 Dec 2019.

Vancouver:

Hlavačka M. Zpracování dat ze senzorů wearable zařízení pomocí strojového učení . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/180354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hlavačka M. Zpracování dat ze senzorů wearable zařízení pomocí strojového učení . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

10. Popková, Anna. Robustní detekce řečové aktivity .

Degree: 2019, Brno University of Technology

 Cílem této práce je navrhnout a vytvořit robustní detektor řečové aktivity, který je schopen detekovat řeč v různých jazycích, v prostředí se šumem a v… (more)

Subjects/Keywords: Robustní detekce řečové aktivity; Hudba; Šum; Neuronová síť; SNR.; Robust voice activity detection; Music; Noise; Neural Network; SNR.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Popková, A. (2019). Robustní detekce řečové aktivity . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Popková, Anna. “Robustní detekce řečové aktivity .” 2019. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/180389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Popková, Anna. “Robustní detekce řečové aktivity .” 2019. Web. 16 Dec 2019.

Vancouver:

Popková A. Robustní detekce řečové aktivity . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/180389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Popková A. Robustní detekce řečové aktivity . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

11. Neuhaus, Claudia S. Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches.

Degree: 2019, ETH Zürich

 To protect complex life forms from xenobiotics, evolution has provided organisms with many different barriers as for example the plasma membrane. The membrane de- fines… (more)

Subjects/Keywords: Anticancer peptides; Simulated Molecular Evolution; Machine learning; Recurrent neural networks; Peptide design; Structure-activity relationship; Artificial intelligence; Liposomes

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APA (6th Edition):

Neuhaus, C. S. (2019). Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/353294

Chicago Manual of Style (16th Edition):

Neuhaus, Claudia S. “Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches.” 2019. Doctoral Dissertation, ETH Zürich. Accessed December 16, 2019. http://hdl.handle.net/20.500.11850/353294.

MLA Handbook (7th Edition):

Neuhaus, Claudia S. “Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches.” 2019. Web. 16 Dec 2019.

Vancouver:

Neuhaus CS. Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/20.500.11850/353294.

Council of Science Editors:

Neuhaus CS. Breaking Down Barriers in Anticancer Peptide Design: Computational and Experimental Approaches. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/353294

12. Mijatović Gorana. Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala.

Degree: 2018, University of Novi Sad

Disertacija se se bavi analizom mogućnosti brze, efikasne i pouzdane klasterizacije masivnog skupa neuralnih snimaka na osnovu probabilističkih parametara procenjenih iz obrazaca generisanja akcionih… (more)

Subjects/Keywords: Inter-spajk intervali, dekompozicija neuralne aktivnosti, empirijska karakterizacija, probabilistički parametri, masivni skupovi podataka, klasterizacija, klasterizacija zasnovana na akumulaciji dokaza; Inter-spike intervals, decomposition of neural activity,empirical neural characterization, probabilistic features,clustering, massive neural sets, evidence accumulationclustering

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APA (6th Edition):

Gorana, M. (2018). Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija152888350367040.pdf?controlNumber=(BISIS)107498&fileName=152888350367040.pdf&id=11530&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107498&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gorana, Mijatović. “Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala.” 2018. Thesis, University of Novi Sad. Accessed December 16, 2019. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija152888350367040.pdf?controlNumber=(BISIS)107498&fileName=152888350367040.pdf&id=11530&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107498&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gorana, Mijatović. “Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala.” 2018. Web. 16 Dec 2019.

Vancouver:

Gorana M. Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala. [Internet] [Thesis]. University of Novi Sad; 2018. [cited 2019 Dec 16]. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija152888350367040.pdf?controlNumber=(BISIS)107498&fileName=152888350367040.pdf&id=11530&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107498&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gorana M. Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala. [Thesis]. University of Novi Sad; 2018. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija152888350367040.pdf?controlNumber=(BISIS)107498&fileName=152888350367040.pdf&id=11530&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107498&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

13. Tambe, Mary. An approach for analyzing spike train data using dimensionality reduction.

Degree: MS, Mathematics, 2018, University of Minnesota

 Our perception of the world is influenced by the way our brains process information received from millions of neurons. Our senses are based on information… (more)

Subjects/Keywords: Diffusion maps; Dimensionality reduction; Manifold; Neural activity; Previous time measure; Spike train data

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APA (6th Edition):

Tambe, M. (2018). An approach for analyzing spike train data using dimensionality reduction. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201734

Chicago Manual of Style (16th Edition):

Tambe, Mary. “An approach for analyzing spike train data using dimensionality reduction.” 2018. Masters Thesis, University of Minnesota. Accessed December 16, 2019. http://hdl.handle.net/11299/201734.

MLA Handbook (7th Edition):

Tambe, Mary. “An approach for analyzing spike train data using dimensionality reduction.” 2018. Web. 16 Dec 2019.

Vancouver:

Tambe M. An approach for analyzing spike train data using dimensionality reduction. [Internet] [Masters thesis]. University of Minnesota; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11299/201734.

Council of Science Editors:

Tambe M. An approach for analyzing spike train data using dimensionality reduction. [Masters Thesis]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201734

14. Suciu, Diana J. NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS.

Degree: M. Eng., Biomedical Engineering, 2018, Case Western Reserve University

 Solid tumors were once believed to lack innervation. However, recent scientific articles indicate that nerve fibers infiltrate primary tumors through axogenesis. Numerous animal model studies… (more)

Subjects/Keywords: Biomedical Engineering; Biomedical Research; breast cancer; neural recording; metastasis; metastatic solid tumors; neural activity; vagus nerve; 4T1; D2A1; neural activity during metastasis; lidocaine; nerve stimulation; autonomic nervous system

…Suciu, 7 Neural Activity Within Solid Breast Tumors and the Implications on Metastasis… …direct recordings and/or quantified the neural activity within the solid breast tumor to… …recordings and bioluminescence imaging (BLI) is preformed to track the neural activity… …activity within the tumor mass as neural. Furthermore, encouraging evidence has emerged that it… …signaling patterns and a subset of the active neural population. Analysis of the neural activity… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Suciu, D. J. (2018). NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1528117273992639

Chicago Manual of Style (16th Edition):

Suciu, Diana J. “NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS.” 2018. Masters Thesis, Case Western Reserve University. Accessed December 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1528117273992639.

MLA Handbook (7th Edition):

Suciu, Diana J. “NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS.” 2018. Web. 16 Dec 2019.

Vancouver:

Suciu DJ. NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS. [Internet] [Masters thesis]. Case Western Reserve University; 2018. [cited 2019 Dec 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1528117273992639.

Council of Science Editors:

Suciu DJ. NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS. [Masters Thesis]. Case Western Reserve University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1528117273992639

15. WANG ZHIBIN. POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION.

Degree: 2018, National University of Singapore

Subjects/Keywords: Posterior hypothalamus; hippocampal neural activity; experimental pain; arousal; peripheral hypersensitivity; cholinergic neurotransmission

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

ZHIBIN, W. (2018). POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/151096

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

ZHIBIN, WANG. “POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION.” 2018. Thesis, National University of Singapore. Accessed December 16, 2019. http://scholarbank.nus.edu.sg/handle/10635/151096.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

ZHIBIN, WANG. “POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION.” 2018. Web. 16 Dec 2019.

Vancouver:

ZHIBIN W. POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2019 Dec 16]. Available from: http://scholarbank.nus.edu.sg/handle/10635/151096.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ZHIBIN W. POSTERIOR HYPOTHALAMIC MEDIATION OF BEHAVIOURAL RESPONSE TO NOXIOUS STIMULI AND SEPTO-HIPPOCAMPAL ACTIVATION. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/151096

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Florida

16. Pang, Jinyong. Human Activity Recognition Based on Transfer Learning.

Degree: 2018, University of South Florida

 Human activity recognition (HAR) based on time series data is the problem of classifying various patterns. Its widely applications in health care owns huge commercial… (more)

Subjects/Keywords: Convolutional neural network; Deep learning; Human activity recognition; Transfer Learning; Statistics and Probability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pang, J. (2018). Human Activity Recognition Based on Transfer Learning. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7558

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pang, Jinyong. “Human Activity Recognition Based on Transfer Learning.” 2018. Thesis, University of South Florida. Accessed December 16, 2019. https://scholarcommons.usf.edu/etd/7558.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pang, Jinyong. “Human Activity Recognition Based on Transfer Learning.” 2018. Web. 16 Dec 2019.

Vancouver:

Pang J. Human Activity Recognition Based on Transfer Learning. [Internet] [Thesis]. University of South Florida; 2018. [cited 2019 Dec 16]. Available from: https://scholarcommons.usf.edu/etd/7558.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pang J. Human Activity Recognition Based on Transfer Learning. [Thesis]. University of South Florida; 2018. Available from: https://scholarcommons.usf.edu/etd/7558

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Erasmus University Rotterdam

17. Sierksma, Martijn. Neural Activity During The Formation Of A Giant Auditory Synapse.

Degree: 2018, Erasmus University Rotterdam

 markdownabstractThe formation of synapses is a critical step in the development of the brain. During this developmental stage neural activity propagates across the brain from… (more)

Subjects/Keywords: Synapse; Calyx of Held; Neural activity; Action potential; Medial nucleus of the trapezoid body; MNTB; Development; In vivo electrophysiology

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APA (6th Edition):

Sierksma, M. (2018). Neural Activity During The Formation Of A Giant Auditory Synapse. (Doctoral Dissertation). Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/105794

Chicago Manual of Style (16th Edition):

Sierksma, Martijn. “Neural Activity During The Formation Of A Giant Auditory Synapse.” 2018. Doctoral Dissertation, Erasmus University Rotterdam. Accessed December 16, 2019. http://hdl.handle.net/1765/105794.

MLA Handbook (7th Edition):

Sierksma, Martijn. “Neural Activity During The Formation Of A Giant Auditory Synapse.” 2018. Web. 16 Dec 2019.

Vancouver:

Sierksma M. Neural Activity During The Formation Of A Giant Auditory Synapse. [Internet] [Doctoral dissertation]. Erasmus University Rotterdam; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/1765/105794.

Council of Science Editors:

Sierksma M. Neural Activity During The Formation Of A Giant Auditory Synapse. [Doctoral Dissertation]. Erasmus University Rotterdam; 2018. Available from: http://hdl.handle.net/1765/105794

18. Parada, Carolina. Feature learning with raw-waveform CLDNNs for Voice Activity Detection.

Degree: 2018, International Speech and Communication Association

Subjects/Keywords: Feature extraction; Network architecture; Speech communication; Speech processing; Deep neural networks; Frequency modeling; Long short term memory; Model architecture; Pre-processing step; Proposed architectures; Speech recognition systems; Voice activity detection; Speech recognition; Telecomunicaciones

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Parada, C. (2018). Feature learning with raw-waveform CLDNNs for Voice Activity Detection. (Thesis). International Speech and Communication Association. Retrieved from http://hdl.handle.net/10486/675731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Parada, Carolina. “Feature learning with raw-waveform CLDNNs for Voice Activity Detection.” 2018. Thesis, International Speech and Communication Association. Accessed December 16, 2019. http://hdl.handle.net/10486/675731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Parada, Carolina. “Feature learning with raw-waveform CLDNNs for Voice Activity Detection.” 2018. Web. 16 Dec 2019.

Vancouver:

Parada C. Feature learning with raw-waveform CLDNNs for Voice Activity Detection. [Internet] [Thesis]. International Speech and Communication Association; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/10486/675731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Parada C. Feature learning with raw-waveform CLDNNs for Voice Activity Detection. [Thesis]. International Speech and Communication Association; 2018. Available from: http://hdl.handle.net/10486/675731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Varona, Pablo. Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns.

Degree: 2018, Frontiers Research Foundation

Subjects/Keywords: Activity reverberation; Cerebellar circuits; Electrical coupling; Multifunctional neural networks; Rhythm coordination and encoding; Source-sink phenomena; Spike wave fronts; Subthreshold oscillations; Informática

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APA (6th Edition):

Varona, P. (2018). Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns. (Thesis). Frontiers Research Foundation. Retrieved from http://hdl.handle.net/10486/662519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Varona, Pablo. “Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns.” 2018. Thesis, Frontiers Research Foundation. Accessed December 16, 2019. http://hdl.handle.net/10486/662519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Varona, Pablo. “Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns.” 2018. Web. 16 Dec 2019.

Vancouver:

Varona P. Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns. [Internet] [Thesis]. Frontiers Research Foundation; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/10486/662519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Varona P. Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns. [Thesis]. Frontiers Research Foundation; 2018. Available from: http://hdl.handle.net/10486/662519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

20. Zebin, Tahmina. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.

Degree: 2018, University of Manchester

Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and… (more)

Subjects/Keywords: Wearable Sensor; Machine Learning; Convolutional Neural Network; Sensor Fusion; Activity Recognition; Gait Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zebin, T. (2018). Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312

Chicago Manual of Style (16th Edition):

Zebin, Tahmina. “Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.” 2018. Doctoral Dissertation, University of Manchester. Accessed December 16, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312.

MLA Handbook (7th Edition):

Zebin, Tahmina. “Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.” 2018. Web. 16 Dec 2019.

Vancouver:

Zebin T. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Dec 16]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312.

Council of Science Editors:

Zebin T. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312


University of Colorado

21. Hughes, Dana. In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks.

Degree: PhD, 2018, University of Colorado

  Robotic materials are a novel class of materials that tightly integrate sensing, computing, and actuation into an engineered material or composite to allow the… (more)

Subjects/Keywords: robotic materials; high-bandwidth; human activity recognition; communication network; modular neural networks; Artificial Intelligence and Robotics; Computer Sciences; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hughes, D. (2018). In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/176

Chicago Manual of Style (16th Edition):

Hughes, Dana. “In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks.” 2018. Doctoral Dissertation, University of Colorado. Accessed December 16, 2019. https://scholar.colorado.edu/csci_gradetds/176.

MLA Handbook (7th Edition):

Hughes, Dana. “In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks.” 2018. Web. 16 Dec 2019.

Vancouver:

Hughes D. In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2019 Dec 16]. Available from: https://scholar.colorado.edu/csci_gradetds/176.

Council of Science Editors:

Hughes D. In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/csci_gradetds/176


University of California – Riverside

22. Hasan, Md Monirul. Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography.

Degree: Bioengineering, 2018, University of California – Riverside

 ABSTRACT OF THE DISSERTATIONQuantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence TomographybyMd. Monirul HasanDoctor of Philosophy, Graduate Program in… (more)

Subjects/Keywords: Bioengineering; Epileptiform Activity; Neural activity; OCT; pr-SD-OCT; SD-OCT

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hasan, M. M. (2018). Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/0tx4q2w4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hasan, Md Monirul. “Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography.” 2018. Thesis, University of California – Riverside. Accessed December 16, 2019. http://www.escholarship.org/uc/item/0tx4q2w4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hasan, Md Monirul. “Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography.” 2018. Web. 16 Dec 2019.

Vancouver:

Hasan MM. Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography. [Internet] [Thesis]. University of California – Riverside; 2018. [cited 2019 Dec 16]. Available from: http://www.escholarship.org/uc/item/0tx4q2w4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hasan MM. Quantification of Changes of Intensity and Attenuation Coefficient During Neural Activity Using Optical Coherence Tomography. [Thesis]. University of California – Riverside; 2018. Available from: http://www.escholarship.org/uc/item/0tx4q2w4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Kasnesis, Panagiotis. Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων.

Degree: 2018, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

The concept of an Internet of Things (IoT) is already mature, enough to start evolving towards an Internet of Everything (IoE), over which humans, objects… (more)

Subjects/Keywords: Κοινωνικό Διαδίκτυο των Πραγμάτων; Γνωσιακοί πράκτορες λογισμικού; Επίγνωση πλαισίου; Σημασιολογικοί κανόνες; Αναγνώριση ανθρώπινης δραστηριότητας; Συνελικτικά Νευρωνικά Δίκτυα; Οντολογίες; Βαθιά Μάθηση; Social Internet of Things; Human activity recognition; Cognitive software agents; Context-awareness; Semantic rules; Ontologies; Convolutional Neural Networks; Deep Learning

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APA (6th Edition):

Kasnesis, P. (2018). Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/42673

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kasnesis, Panagiotis. “Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων.” 2018. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed December 16, 2019. http://hdl.handle.net/10442/hedi/42673.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kasnesis, Panagiotis. “Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων.” 2018. Web. 16 Dec 2019.

Vancouver:

Kasnesis P. Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/10442/hedi/42673.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kasnesis P. Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία κοινωνικού διαδικτύου των πραγμάτων. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2018. Available from: http://hdl.handle.net/10442/hedi/42673

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Arvidsson, Andrea. Meditation, attention and the brain: function, structure and attentional performance.

Degree: Bioscience, 2018, University of Skövde

  Meditation has been practiced around the world for thousands of years and has during the past decade become increasingly popular in the Western world.… (more)

Subjects/Keywords: Meditation; focused attention meditation; open monitoring meditation; expert meditators; FAM; OMM; neural activity; structural changes; attentional performance; Public Health, Global Health, Social Medicine and Epidemiology; Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi; Neurosciences; Neurovetenskaper

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APA (6th Edition):

Arvidsson, A. (2018). Meditation, attention and the brain: function, structure and attentional performance. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arvidsson, Andrea. “Meditation, attention and the brain: function, structure and attentional performance.” 2018. Thesis, University of Skövde. Accessed December 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arvidsson, Andrea. “Meditation, attention and the brain: function, structure and attentional performance.” 2018. Web. 16 Dec 2019.

Vancouver:

Arvidsson A. Meditation, attention and the brain: function, structure and attentional performance. [Internet] [Thesis]. University of Skövde; 2018. [cited 2019 Dec 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arvidsson A. Meditation, attention and the brain: function, structure and attentional performance. [Thesis]. University of Skövde; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – San Diego

25. Chan, Tamara. Regulation of the cerebral vascular clock by neural activity.

Degree: Biology, 2018, University of California – San Diego

 The blood-brain barrier (BBB) is a set of properties belonging to endothelial cells that make up blood vessels in the central nervous system (CNS). The… (more)

Subjects/Keywords: Neurosciences; Biology; Pharmacology; ATP transporters; behavior; Blood-brain barrier; cerebral vasculature; circadian clock; neural activity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chan, T. (2018). Regulation of the cerebral vascular clock by neural activity. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/39j408s0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chan, Tamara. “Regulation of the cerebral vascular clock by neural activity.” 2018. Thesis, University of California – San Diego. Accessed December 16, 2019. http://www.escholarship.org/uc/item/39j408s0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chan, Tamara. “Regulation of the cerebral vascular clock by neural activity.” 2018. Web. 16 Dec 2019.

Vancouver:

Chan T. Regulation of the cerebral vascular clock by neural activity. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Dec 16]. Available from: http://www.escholarship.org/uc/item/39j408s0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chan T. Regulation of the cerebral vascular clock by neural activity. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/39j408s0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

26. Šalamoun, Jan. Klasifikace signálů denní aktivity nasnímaných zařízením Faros .

Degree: 2018, Brno University of Technology

 Téma této diplomové práce je klasifikace signálů denní aktivity nasnímaných pomocí zařízení Faros. Zařízení Faros je malé kompatibilní zařízení spojující elektrokardiogram a tříosý akcelerometr. První… (more)

Subjects/Keywords: Denní aktivita; fyzická aktivita; EKG; akcelerometr; Faros; neuronová sít; support vector machine; SVM.; Free living; physical activity; ECG; accelerometer; Faros; neural network; support vector machine; SVM.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Šalamoun, J. (2018). Klasifikace signálů denní aktivity nasnímaných zařízením Faros . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82052

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Šalamoun, Jan. “Klasifikace signálů denní aktivity nasnímaných zařízením Faros .” 2018. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/82052.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Šalamoun, Jan. “Klasifikace signálů denní aktivity nasnímaných zařízením Faros .” 2018. Web. 16 Dec 2019.

Vancouver:

Šalamoun J. Klasifikace signálů denní aktivity nasnímaných zařízením Faros . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/82052.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šalamoun J. Klasifikace signálů denní aktivity nasnímaných zařízením Faros . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82052

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

27. Müller, Alex T. De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence.

Degree: 2018, ETH Zürich

 Bacterial resistance, eradicating the efficiency of many antibiotics, is globally increasing and poses a threat to public health. In parallel, an all-time low number of… (more)

Subjects/Keywords: Antibiotic resistance; Machine learning; Recurrent neural networks; Peptide design; Structure-activity relationship; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Müller, A. T. (2018). De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/267218

Chicago Manual of Style (16th Edition):

Müller, Alex T. “De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence.” 2018. Doctoral Dissertation, ETH Zürich. Accessed December 16, 2019. http://hdl.handle.net/20.500.11850/267218.

MLA Handbook (7th Edition):

Müller, Alex T. “De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence.” 2018. Web. 16 Dec 2019.

Vancouver:

Müller AT. De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/20.500.11850/267218.

Council of Science Editors:

Müller AT. De Novo Design of Antimicrobial Peptides: From Sequence Templates to Artificial Intelligence. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/267218


Brno University of Technology

28. Pustka, Michal. Inteligentní rozpoznání činnosti uživatele chytrého telefonu .

Degree: 2018, Brno University of Technology

 Tato práce se zabývá detekcí uživatelských aktivit (např. běhání, chůze, jízda autě atd.) v reálném čase, přičemž k samotné detekci je využito senzorů dostupných v… (more)

Subjects/Keywords: Senzory; Android; Xamarin; TensorFlow; sběr dat; umělá inteligence; rozpoznávaní aktivit; konvoluční neuronové sítě; Sensors; Android; Xamarin; TensorFlow; collection of data; artificial intelligence; human activity recognition; convolutional neural networks

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APA (6th Edition):

Pustka, M. (2018). Inteligentní rozpoznání činnosti uživatele chytrého telefonu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pustka, Michal. “Inteligentní rozpoznání činnosti uživatele chytrého telefonu .” 2018. Thesis, Brno University of Technology. Accessed December 16, 2019. http://hdl.handle.net/11012/84970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pustka, Michal. “Inteligentní rozpoznání činnosti uživatele chytrého telefonu .” 2018. Web. 16 Dec 2019.

Vancouver:

Pustka M. Inteligentní rozpoznání činnosti uživatele chytrého telefonu . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/11012/84970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pustka M. Inteligentní rozpoznání činnosti uživatele chytrého telefonu . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

29. Tao, Long. Contributions to statistical analysis methods for neural spiking activity.

Degree: PhD, Mathematics & Statistics, 2018, Boston University

 With the technical advances in neuroscience experiments in the past few decades, we have seen a massive expansion in our ability to record neural activity.… (more)

Subjects/Keywords: Statistics; Hippocampal ripple replay; Neural spiking activity; Sequential Monte Carlo; State-space models; Time-rescaling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tao, L. (2018). Contributions to statistical analysis methods for neural spiking activity. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33172

Chicago Manual of Style (16th Edition):

Tao, Long. “Contributions to statistical analysis methods for neural spiking activity.” 2018. Doctoral Dissertation, Boston University. Accessed December 16, 2019. http://hdl.handle.net/2144/33172.

MLA Handbook (7th Edition):

Tao, Long. “Contributions to statistical analysis methods for neural spiking activity.” 2018. Web. 16 Dec 2019.

Vancouver:

Tao L. Contributions to statistical analysis methods for neural spiking activity. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/2144/33172.

Council of Science Editors:

Tao L. Contributions to statistical analysis methods for neural spiking activity. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33172


University of Manchester

30. Zebin, Tahmina. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.

Degree: PhD, 2018, University of Manchester

 Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and… (more)

Subjects/Keywords: Gait Analysis; Activity Recognition; Sensor Fusion; Machine Learning; Wearable Sensor; Convolutional Neural Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zebin, T. (2018). Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579

Chicago Manual of Style (16th Edition):

Zebin, Tahmina. “Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.” 2018. Doctoral Dissertation, University of Manchester. Accessed December 16, 2019. https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579.

MLA Handbook (7th Edition):

Zebin, Tahmina. “Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.” 2018. Web. 16 Dec 2019.

Vancouver:

Zebin T. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Dec 16]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579.

Council of Science Editors:

Zebin T. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579

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