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You searched for +publisher:"Florida International University" +contributor:("Malek Adjouadi"). Showing records 1 – 30 of 80 total matches.

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Florida International University

1. Rossman, Mark A. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.

Degree: Electrical Engineering, 2011, Florida International University

  Flow Cytometry analyzers have become trusted companions due to their ability to perform fast and accurate analyses of human blood. The aim of these… (more)

Subjects/Keywords: Flow Cytometry; Hematology; Pattern Recognition; Classification; Image Processing; Eigen System; Biomedical; Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Rossman, M. A. (2011). Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506

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):

Rossman, Mark A. “Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.” 2011. Thesis, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506.

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

MLA Handbook (7th Edition):

Rossman, Mark A. “Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.” 2011. Web. 22 Apr 2021.

Vancouver:

Rossman MA. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. [Internet] [Thesis]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506.

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

Council of Science Editors:

Rossman MA. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506

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


Florida International University

2. Han, Changan. Neural Network Based Off-line Handwritten Text Recognition System.

Degree: Electrical Engineering, 2011, Florida International University

  This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat… (more)

Subjects/Keywords: Handwriting Recognition; Neural Network; Mean Quartic Error Function; Semi-third Order Method

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APA (6th Edition):

Han, C. (2011). Neural Network Based Off-line Handwritten Text Recognition System. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701

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):

Han, Changan. “Neural Network Based Off-line Handwritten Text Recognition System.” 2011. Thesis, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701.

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

MLA Handbook (7th Edition):

Han, Changan. “Neural Network Based Off-line Handwritten Text Recognition System.” 2011. Web. 22 Apr 2021.

Vancouver:

Han C. Neural Network Based Off-line Handwritten Text Recognition System. [Internet] [Thesis]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701.

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

Council of Science Editors:

Han C. Neural Network Based Off-line Handwritten Text Recognition System. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701

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


Florida International University

3. Lahlou, Mouncef. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.

Degree: Electrical Engineering, 2011, Florida International University

  Given the importance of color processing in computer vision and computer graphics, estimating and rendering illumination spectral reflectance of image scenes is important to… (more)

Subjects/Keywords: Image processing; Computer vision; Reflection separation; Scene illumination rendering; Surface reconstruction; Image restoration; Spectral color estimation; Computer graphics

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APA (6th Edition):

Lahlou, M. (2011). Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702

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):

Lahlou, Mouncef. “Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.” 2011. Thesis, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702.

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

MLA Handbook (7th Edition):

Lahlou, Mouncef. “Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.” 2011. Web. 22 Apr 2021.

Vancouver:

Lahlou M. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. [Internet] [Thesis]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702.

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

Council of Science Editors:

Lahlou M. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702

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


Florida International University

4. Guzman Tamayo, Ana M. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.

Degree: PhD, Electrical Engineering, 2011, Florida International University

  This dissertation develops an image processing framework with unique feature extraction and similarity measurements for human face recognition in the mid-wave infrared portion of… (more)

Subjects/Keywords: Similarity Measures; Infrared Imaging; Facial Recognition; Facial Signatures; Image Registration

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APA (6th Edition):

Guzman Tamayo, A. M. (2011). Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916

Chicago Manual of Style (16th Edition):

Guzman Tamayo, Ana M. “Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.” 2011. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916.

MLA Handbook (7th Edition):

Guzman Tamayo, Ana M. “Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.” 2011. Web. 22 Apr 2021.

Vancouver:

Guzman Tamayo AM. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. [Internet] [Doctoral dissertation]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916.

Council of Science Editors:

Guzman Tamayo AM. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. [Doctoral Dissertation]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916


Florida International University

5. Cary, Ariel. Scaling Geospatial Searches in Large Spatial Databases.

Degree: PhD, Computer Science, 2011, Florida International University

  Modern geographical databases store a rich set of aspatial attributes in addition to geographic data. Retrieving spatial records constrained on spatial and aspatial attributes… (more)

Subjects/Keywords: Spatial databases; searches; MapReduce; scalability; indexing.

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APA (6th Edition):

Cary, A. (2011). Scaling Geospatial Searches in Large Spatial Databases. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/548 ; 10.25148/etd.FI11120810 ; FI11120810

Chicago Manual of Style (16th Edition):

Cary, Ariel. “Scaling Geospatial Searches in Large Spatial Databases.” 2011. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/548 ; 10.25148/etd.FI11120810 ; FI11120810.

MLA Handbook (7th Edition):

Cary, Ariel. “Scaling Geospatial Searches in Large Spatial Databases.” 2011. Web. 22 Apr 2021.

Vancouver:

Cary A. Scaling Geospatial Searches in Large Spatial Databases. [Internet] [Doctoral dissertation]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/548 ; 10.25148/etd.FI11120810 ; FI11120810.

Council of Science Editors:

Cary A. Scaling Geospatial Searches in Large Spatial Databases. [Doctoral Dissertation]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/548 ; 10.25148/etd.FI11120810 ; FI11120810


Florida International University

6. Wang, Huan. A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling.

Degree: PhD, Computer Science, 2011, Florida International University

  With the exponential increasing demands and uses of GIS data visualization system, such as urban planning, environment and climate change monitoring, weather simulation, hydrographic… (more)

Subjects/Keywords: Large-scale; Dynamic; Vector and Raster Data; Visualization; GIS; Parallel Map Tiling

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APA (6th Edition):

Wang, H. (2011). A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/550 ; 10.25148/etd.FI12041101 ; FI12041101

Chicago Manual of Style (16th Edition):

Wang, Huan. “A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling.” 2011. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/550 ; 10.25148/etd.FI12041101 ; FI12041101.

MLA Handbook (7th Edition):

Wang, Huan. “A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling.” 2011. Web. 22 Apr 2021.

Vancouver:

Wang H. A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling. [Internet] [Doctoral dissertation]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/550 ; 10.25148/etd.FI12041101 ; FI12041101.

Council of Science Editors:

Wang H. A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling. [Doctoral Dissertation]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/550 ; 10.25148/etd.FI12041101 ; FI12041101


Florida International University

7. Delgado, Javier. Scheduling Medical Application Workloads on Virtualized Computing Systems.

Degree: PhD, Electrical Engineering, 2012, Florida International University

  This dissertation presents and evaluates a methodology for scheduling medical application workloads in virtualized computing environments. Such environments are being widely adopted by providers… (more)

Subjects/Keywords: distributed systems; scientific computing; medical image processing; job scheduling; virtualization; parallel processing; Computer and Systems Architecture; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Delgado, J. (2012). Scheduling Medical Application Workloads on Virtualized Computing Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239

Chicago Manual of Style (16th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

MLA Handbook (7th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Web. 22 Apr 2021.

Vancouver:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

Council of Science Editors:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239


Florida International University

8. O-larnnithipong, Nonnarit. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional… (more)

Subjects/Keywords: Hand Motion Tracking; Inertial Measurement Unit; Gyroscope Drift; Sensor Fusion; Orientation Correction Algorithm; Quaternion; Navigation, Guidance, Control, and Dynamics; Robotics; Signal Processing

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APA (6th Edition):

O-larnnithipong, N. (2018). Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002

Chicago Manual of Style (16th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002.

MLA Handbook (7th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Web. 22 Apr 2021.

Vancouver:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002.

Council of Science Editors:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002


Florida International University

9. Tangnimitchok, Sudarat. Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring.

Degree: PhD, Electrical Engineering, 2019, Florida International University

  Automatic methods for affective assessment seek to enable computer systems to recognize the affective state of their users. This dissertation proposes a system that… (more)

Subjects/Keywords: Digital Signal Processing; Machine Learning; Affective Computing; Human Computer Interaction; Artificial Intelligence; Electrical and Electronics; Hardware Systems; Signal Processing

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APA (6th Edition):

Tangnimitchok, S. (2019). Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4224 ; FIDC007810

Chicago Manual of Style (16th Edition):

Tangnimitchok, Sudarat. “Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring.” 2019. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/4224 ; FIDC007810.

MLA Handbook (7th Edition):

Tangnimitchok, Sudarat. “Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring.” 2019. Web. 22 Apr 2021.

Vancouver:

Tangnimitchok S. Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/4224 ; FIDC007810.

Council of Science Editors:

Tangnimitchok S. Non-Intrusive Affective Assessment in the Circumplex Model from Pupil Diameter and Facial Expression Monitoring. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/4224 ; FIDC007810


Florida International University

10. Chang, Lily. A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems.

Degree: Computer Science, 2011, Florida International University

  In the past two decades, multi-agent systems (MAS) have emerged as a new paradigm for conceptualizing large and complex distributed software systems. A multi-agent… (more)

Subjects/Keywords: Formal Methods; Petri Nets; Multi-Agent Systems; Agent-Oriented Modeling

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APA (6th Edition):

Chang, L. (2011). A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/339 ; 10.25148/etd.FI11040601 ; FI11040601

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):

Chang, Lily. “A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems.” 2011. Thesis, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/339 ; 10.25148/etd.FI11040601 ; FI11040601.

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

MLA Handbook (7th Edition):

Chang, Lily. “A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems.” 2011. Web. 22 Apr 2021.

Vancouver:

Chang L. A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems. [Internet] [Thesis]. Florida International University; 2011. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/339 ; 10.25148/etd.FI11040601 ; FI11040601.

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

Council of Science Editors:

Chang L. A Nested Petri Net Framework for Modeling and Analyzing Multi-Agent Systems. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/339 ; 10.25148/etd.FI11040601 ; FI11040601

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


Florida International University

11. Huang, Jian. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.

Degree: PhD, Electrical Engineering, 2013, Florida International University

  With the progress of computer technology, computers are expected to be more intelligent in the interaction with humans, presenting information according to the user's… (more)

Subjects/Keywords: Image Precompensation; Image Enhancement; Ocular Aberration; Visual Blurring; Graphics and Human Computer Interfaces; Signal Processing

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APA (6th Edition):

Huang, J. (2013). Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516

Chicago Manual of Style (16th Edition):

Huang, Jian. “Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.” 2013. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516.

MLA Handbook (7th Edition):

Huang, Jian. “Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.” 2013. Web. 22 Apr 2021.

Vancouver:

Huang J. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. [Internet] [Doctoral dissertation]. Florida International University; 2013. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516.

Council of Science Editors:

Huang J. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. [Doctoral Dissertation]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516


Florida International University

12. Geng, Zhe. Radar Signal Processing for Interference Mitigation.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  It is necessary for radars to suppress interferences to near the noise level to achieve the best performance in target detection and measurements. In… (more)

Subjects/Keywords: Radar; signal processing; interference mitigation; Signal Processing

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APA (6th Edition):

Geng, Z. (2018). Radar Signal Processing for Interference Mitigation. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569

Chicago Manual of Style (16th Edition):

Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.

MLA Handbook (7th Edition):

Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Web. 22 Apr 2021.

Vancouver:

Geng Z. Radar Signal Processing for Interference Mitigation. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.

Council of Science Editors:

Geng Z. Radar Signal Processing for Interference Mitigation. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569


Florida International University

13. Li, Chunfei. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  A neuroimaging feature extraction model is designed to extract region-based image features whose values are predicted by base learners trained on raw neuroimaging morphological… (more)

Subjects/Keywords: Alzheimer’s disease; mild cognitive impairment; neuroimaging; classification; pattern analysis; amyloid; MRI; cortical thinning; APOE; memory; ADNI; Biomedical; Electrical and Computer Engineering; Engineering

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APA (6th Edition):

Li, C. (2018). Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548

Chicago Manual of Style (16th Edition):

Li, Chunfei. “Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548.

MLA Handbook (7th Edition):

Li, Chunfei. “Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.” 2018. Web. 22 Apr 2021.

Vancouver:

Li C. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548.

Council of Science Editors:

Li C. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548


Florida International University

14. Salah Eddin, Anas. Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy.

Degree: PhD, Electrical Engineering, 2013, Florida International University

  This dissertation introduces a new approach for assessing the effects of pediatric epilepsy on the language connectome. Two novel data-driven network construction approaches are… (more)

Subjects/Keywords: Pediatric Epilepsy; Language Network; Connectome; Graph Theory; Functional Magnetic Resonance Imaging; Independent Component Analysis; Bioelectrical and Neuroengineering; Biomedical; Biostatistics; Other Computer Sciences

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APA (6th Edition):

Salah Eddin, A. (2013). Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/971 ; 10.25148/etd.FI13120407 ; FI13120407

Chicago Manual of Style (16th Edition):

Salah Eddin, Anas. “Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy.” 2013. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/971 ; 10.25148/etd.FI13120407 ; FI13120407.

MLA Handbook (7th Edition):

Salah Eddin, Anas. “Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy.” 2013. Web. 22 Apr 2021.

Vancouver:

Salah Eddin A. Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy. [Internet] [Doctoral dissertation]. Florida International University; 2013. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/971 ; 10.25148/etd.FI13120407 ; FI13120407.

Council of Science Editors:

Salah Eddin A. Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy. [Doctoral Dissertation]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/971 ; 10.25148/etd.FI13120407 ; FI13120407


Florida International University

15. Guo, Lilin. A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications.

Degree: PhD, Electrical Engineering, 2016, Florida International University

  Learning is central to infusing intelligence to any biologically inspired system. This study introduces a novel Cross-Correlated Delay Shift (CCDS) learning method for spiking… (more)

Subjects/Keywords: Spiking Neural Network; Supervised Learning; Interictal Spike Detection; Bioelectrical and Neuroengineering; Biomedical; Signal Processing

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APA (6th Edition):

Guo, L. (2016). A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2982 ; 10.25148/etd.FIDC001243 ; FIDC001243

Chicago Manual of Style (16th Edition):

Guo, Lilin. “A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications.” 2016. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/2982 ; 10.25148/etd.FIDC001243 ; FIDC001243.

MLA Handbook (7th Edition):

Guo, Lilin. “A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications.” 2016. Web. 22 Apr 2021.

Vancouver:

Guo L. A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications. [Internet] [Doctoral dissertation]. Florida International University; 2016. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/2982 ; 10.25148/etd.FIDC001243 ; FIDC001243.

Council of Science Editors:

Guo L. A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications. [Doctoral Dissertation]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/2982 ; 10.25148/etd.FIDC001243 ; FIDC001243


Florida International University

16. Parikh, Jaimit B. Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation.

Degree: PhD, Biomedical Engineering, 2015, Florida International University

  Microcirculatory vessels are lined by endothelial cells (ECs) which are surrounded by a single or multiple layer of smooth muscle cells (SMCs). Spontaneous and… (more)

Subjects/Keywords: Microcirculation; Calcium Signaling; Mathematical Modeling; Smooth Muscle Cell; Endothelial Cell; TRPV4; Nitric Oxide; Calcium Waves; Vasomotion; Biochemical and Biomolecular Engineering; Biomechanics and Biotransport; Biomedical Engineering and Bioengineering; Biophysics; Cell Biology; Cellular and Molecular Physiology; Molecular, Cellular, and Tissue Engineering; Non-linear Dynamics; Ordinary Differential Equations and Applied Dynamics; Partial Differential Equations; Systems Biology; Transport Phenomena

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APA (6th Edition):

Parikh, J. B. (2015). Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/1927 ; 10.25148/etd.FI15032102 ; FI15032102

Chicago Manual of Style (16th Edition):

Parikh, Jaimit B. “Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation.” 2015. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/1927 ; 10.25148/etd.FI15032102 ; FI15032102.

MLA Handbook (7th Edition):

Parikh, Jaimit B. “Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation.” 2015. Web. 22 Apr 2021.

Vancouver:

Parikh JB. Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/1927 ; 10.25148/etd.FI15032102 ; FI15032102.

Council of Science Editors:

Parikh JB. Theoretical Investigation of Intra- and Inter-cellular Spatiotemporal Calcium Patterns in Microcirculation. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/1927 ; 10.25148/etd.FI15032102 ; FI15032102


Florida International University

17. Sargolzaei, Saman. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  Understanding pathways of neurological disorders requires extensive research on both functional and structural characteristics of the brain. This dissertation introduced two interrelated research endeavors,… (more)

Subjects/Keywords: Alzheimer's disease; Pediatric Epilepsy; Brain Connectivity Networks; Biomedical; Neuroscience and Neurobiology

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APA (6th Edition):

Sargolzaei, S. (2015). Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115

Chicago Manual of Style (16th Edition):

Sargolzaei, Saman. “Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.” 2015. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115.

MLA Handbook (7th Edition):

Sargolzaei, Saman. “Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.” 2015. Web. 22 Apr 2021.

Vancouver:

Sargolzaei S. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115.

Council of Science Editors:

Sargolzaei S. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115


Florida International University

18. Motahari Bidgoli, Seyed Mohammad Amin. An Optical Design Configuration for Wireless Data Transmission.

Degree: PhD, Electrical Engineering, 2016, Florida International University

  The concept of 2D barcodes is of great relevance for use in wireless data transmission between handheld electronic devices. In a typical setup, any… (more)

Subjects/Keywords: Barcode; OFDM; Display; Camera; Radio over Fiber; mm-Wave; Intensity Modulation; Electrical and Electronics; Signal Processing; Systems and Communications

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APA (6th Edition):

Motahari Bidgoli, S. M. A. (2016). An Optical Design Configuration for Wireless Data Transmission. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2439 ; 10.25148/etd.FIDC000284 ; FIDC000284

Chicago Manual of Style (16th Edition):

Motahari Bidgoli, Seyed Mohammad Amin. “An Optical Design Configuration for Wireless Data Transmission.” 2016. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/2439 ; 10.25148/etd.FIDC000284 ; FIDC000284.

MLA Handbook (7th Edition):

Motahari Bidgoli, Seyed Mohammad Amin. “An Optical Design Configuration for Wireless Data Transmission.” 2016. Web. 22 Apr 2021.

Vancouver:

Motahari Bidgoli SMA. An Optical Design Configuration for Wireless Data Transmission. [Internet] [Doctoral dissertation]. Florida International University; 2016. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/2439 ; 10.25148/etd.FIDC000284 ; FIDC000284.

Council of Science Editors:

Motahari Bidgoli SMA. An Optical Design Configuration for Wireless Data Transmission. [Doctoral Dissertation]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/2439 ; 10.25148/etd.FIDC000284 ; FIDC000284


Florida International University

19. Wei, Longfei. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  The smart grid is the next-generation electrical infrastructure utilizing Information and Communication Technologies (ICTs), whose architecture is evolving from a utility-centric structure to a… (more)

Subjects/Keywords: Cyber-Physical Security; Game Theory; Machine Learning; Reliability; Resilience; Smart Grid; Information Security; Numerical Analysis and Scientific Computing; Power and Energy; Systems and Communications; Theory and Algorithms

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APA (6th Edition):

Wei, L. (2018). Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052

Chicago Manual of Style (16th Edition):

Wei, Longfei. “Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052.

MLA Handbook (7th Edition):

Wei, Longfei. “Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.” 2018. Web. 22 Apr 2021.

Vancouver:

Wei L. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052.

Council of Science Editors:

Wei L. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052


Florida International University

20. Sundararajan, Aditya. Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems.

Degree: PhD, Electrical Engineering, 2019, Florida International University

  Electric utilities have limited operational visibility and situation awareness over grid-tied distributed photovoltaic systems (PV). This will pose a risk to grid stability when… (more)

Subjects/Keywords: High penetration distributed energy resources; High penetration photovoltaic systems; Machine learning; Neural networks; Situation awareness; Cyber-physical systems; Operational visibility; Energy storage; DER controller; Human-on-the-loop cybersecurity; Computer and Systems Architecture; Data Storage Systems; Electrical and Computer Engineering; Power and Energy

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APA (6th Edition):

Sundararajan, A. (2019). Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4332 ; FIDC008830

Chicago Manual of Style (16th Edition):

Sundararajan, Aditya. “Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems.” 2019. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/4332 ; FIDC008830.

MLA Handbook (7th Edition):

Sundararajan, Aditya. “Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems.” 2019. Web. 22 Apr 2021.

Vancouver:

Sundararajan A. Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/4332 ; FIDC008830.

Council of Science Editors:

Sundararajan A. Data Analytics and Machine Learning to Enhance the Operational Visibility and Situation Awareness of Smart Grid High Penetration Photovoltaic Systems. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/4332 ; FIDC008830


Florida International University

21. Mafi, Mehdi. Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise.

Degree: PhD, Electrical Engineering, 2019, Florida International University

  The central goal of this dissertation is to design and model a smoothing filter based on the random single and mixed noise distribution that… (more)

Subjects/Keywords: Image processing; Denoising; Machine learning; Electrical and Computer Engineering

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APA (6th Edition):

Mafi, M. (2019). Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4354 ; FIDC007840

Chicago Manual of Style (16th Edition):

Mafi, Mehdi. “Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise.” 2019. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/4354 ; FIDC007840.

MLA Handbook (7th Edition):

Mafi, Mehdi. “Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise.” 2019. Web. 22 Apr 2021.

Vancouver:

Mafi M. Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/4354 ; FIDC007840.

Council of Science Editors:

Mafi M. Machine Learning And Image Processing For Noise Removal And Robust Edge Detection In The Presence Of Mixed Noise. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/4354 ; FIDC007840


Florida International University

22. Fang, Chen. Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease.

Degree: PhD, Electrical Engineering, 2020, Florida International University

  Alzheimer’s disease (AD) is the most common form of dementia affecting 10% of the population over the age of 65 and the growing costs… (more)

Subjects/Keywords: Alzheimer’s disease; computer-aided diagnosis; dimensionality reduction; mild cognitive impairment (MCI); natural language processing (NLP); multiclass classification; multimodal analysis; Biomedical; Diagnosis; Multivariate Analysis; Other Analytical, Diagnostic and Therapeutic Techniques and Equipment; Other Biomedical Engineering and Bioengineering; Signal Processing; Statistical Models; Theory and Algorithms

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APA (6th Edition):

Fang, C. (2020). Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4398 ; FIDC008950

Chicago Manual of Style (16th Edition):

Fang, Chen. “Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease.” 2020. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/4398 ; FIDC008950.

MLA Handbook (7th Edition):

Fang, Chen. “Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease.” 2020. Web. 22 Apr 2021.

Vancouver:

Fang C. Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease. [Internet] [Doctoral dissertation]. Florida International University; 2020. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/4398 ; FIDC008950.

Council of Science Editors:

Fang C. Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease. [Doctoral Dissertation]. Florida International University; 2020. Available from: https://digitalcommons.fiu.edu/etd/4398 ; FIDC008950


Florida International University

23. Bhatt, Ruchir N. Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms.

Degree: PhD, Biomedical Engineering, 2012, Florida International University

  Tumor functional volume (FV) and its mean activity concentration (mAC) are the quantities derived from positron emission tomography (PET). These quantities are used for… (more)

Subjects/Keywords: Tumor segmentation; Partial volume effect; Deconvolution; Activity concentration correction; SUV

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APA (6th Edition):

Bhatt, R. N. (2012). Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/798 ; 10.25148/etd.FI12121004 ; FI12121004

Chicago Manual of Style (16th Edition):

Bhatt, Ruchir N. “Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms.” 2012. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/798 ; 10.25148/etd.FI12121004 ; FI12121004.

MLA Handbook (7th Edition):

Bhatt, Ruchir N. “Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms.” 2012. Web. 22 Apr 2021.

Vancouver:

Bhatt RN. Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/798 ; 10.25148/etd.FI12121004 ; FI12121004.

Council of Science Editors:

Bhatt RN. Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/798 ; 10.25148/etd.FI12121004 ; FI12121004


Florida International University

24. Debebe, Senait Aknaw. Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy.

Degree: PhD, Biomedical Engineering, 2017, Florida International University

  Liver cancer ranks the third most common cause of cancer related mortality worldwide. Radiomicrosphere therapy (RMT), a form of radiation therapy, involves administration of… (more)

Subjects/Keywords: Yttrium-90; 99mTc; Tumor to liver ratio; SPECT/CT; Radiomicrosphere therapy; Dosimetry; Analytical, Diagnostic and Therapeutic Techniques and Equipment; Bioimaging and Biomedical Optics; Biomedical; Biomedical Engineering and Bioengineering; Electrical and Computer Engineering

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APA (6th Edition):

Debebe, S. A. (2017). Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3538 ; 10.25148/etd.FIDC004028 ; FIDC004028

Chicago Manual of Style (16th Edition):

Debebe, Senait Aknaw. “Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy.” 2017. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3538 ; 10.25148/etd.FIDC004028 ; FIDC004028.

MLA Handbook (7th Edition):

Debebe, Senait Aknaw. “Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy.” 2017. Web. 22 Apr 2021.

Vancouver:

Debebe SA. Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy. [Internet] [Doctoral dissertation]. Florida International University; 2017. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3538 ; 10.25148/etd.FIDC004028 ; FIDC004028.

Council of Science Editors:

Debebe SA. Quantitative Yttrium-90 Bremsstrahlung SPECT/CT and PET/CT Study for 3D Dosimetry in Radiomicrosphere Therapy. [Doctoral Dissertation]. Florida International University; 2017. Available from: https://digitalcommons.fiu.edu/etd/3538 ; 10.25148/etd.FIDC004028 ; FIDC004028


Florida International University

25. Wang, Zhenzhong. System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  Neuron models are the elementary units which determine the performance of an artificial spiking neural network (ASNN). This study introduces a new Generalized Leaky… (more)

Subjects/Keywords: Biomedical; Signal Processing

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APA (6th Edition):

Wang, Z. (2015). System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2227 ; 10.25148/etd.FIDC000072 ; FIDC000072

Chicago Manual of Style (16th Edition):

Wang, Zhenzhong. “System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network.” 2015. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/2227 ; 10.25148/etd.FIDC000072 ; FIDC000072.

MLA Handbook (7th Edition):

Wang, Zhenzhong. “System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network.” 2015. Web. 22 Apr 2021.

Vancouver:

Wang Z. System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/2227 ; 10.25148/etd.FIDC000072 ; FIDC000072.

Council of Science Editors:

Wang Z. System Design and Implementation of a Fast and Accurate Bio-Inspired Spiking Neural Network. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/2227 ; 10.25148/etd.FIDC000072 ; FIDC000072


Florida International University

26. Song, Yinchen. Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques.

Degree: PhD, Biomedical Engineering, 2015, Florida International University

  For most of the patients with brain tumors and/or epilepsy, surgical resection of brain lesions, when applicable, remains one of the optimal treatment options.… (more)

Subjects/Keywords: Intraoperative; Optics; Brain tumor; Epilepsy; Bioimaging and Biomedical Optics; Biomedical Devices and Instrumentation

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APA (6th Edition):

Song, Y. (2015). Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2207 ; 10.25148/etd.FIDC000092 ; FIDC000092

Chicago Manual of Style (16th Edition):

Song, Yinchen. “Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques.” 2015. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/2207 ; 10.25148/etd.FIDC000092 ; FIDC000092.

MLA Handbook (7th Edition):

Song, Yinchen. “Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques.” 2015. Web. 22 Apr 2021.

Vancouver:

Song Y. Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/2207 ; 10.25148/etd.FIDC000092 ; FIDC000092.

Council of Science Editors:

Song Y. Intraoperative Guidance for Pediatric Brain Surgery based on Optical Techniques. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/2207 ; 10.25148/etd.FIDC000092 ; FIDC000092


Florida International University

27. Okoe, Mershack B. Supporting Web-based and Crowdsourced Evaluations of Data Visualizations.

Degree: PhD, Computer Science, 2016, Florida International University

  User studies play a vital role in data visualization research because they help measure the strengths and weaknesses of different visualization techniques quantitatively. In… (more)

Subjects/Keywords: User studies; user study framework; evaluation framework; facilitating user studies; evaluating visualizations; Graphics and Human Computer Interfaces

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APA (6th Edition):

Okoe, M. B. (2016). Supporting Web-based and Crowdsourced Evaluations of Data Visualizations. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2566 ; 10.25148/etd.FIDC000757 ; FIDC000757

Chicago Manual of Style (16th Edition):

Okoe, Mershack B. “Supporting Web-based and Crowdsourced Evaluations of Data Visualizations.” 2016. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/2566 ; 10.25148/etd.FIDC000757 ; FIDC000757.

MLA Handbook (7th Edition):

Okoe, Mershack B. “Supporting Web-based and Crowdsourced Evaluations of Data Visualizations.” 2016. Web. 22 Apr 2021.

Vancouver:

Okoe MB. Supporting Web-based and Crowdsourced Evaluations of Data Visualizations. [Internet] [Doctoral dissertation]. Florida International University; 2016. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/2566 ; 10.25148/etd.FIDC000757 ; FIDC000757.

Council of Science Editors:

Okoe MB. Supporting Web-based and Crowdsourced Evaluations of Data Visualizations. [Doctoral Dissertation]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/2566 ; 10.25148/etd.FIDC000757 ; FIDC000757


Florida International University

28. Janwattanapong, Panuwat. Connectivity Analysis of Electroencephalograms in Epilepsy.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation introduces a novel approach at gauging patterns of informa- tion flow using brain connectivity analysis and partial directed coherence (PDC) in epilepsy.… (more)

Subjects/Keywords: Epilepsy; Brain Connectivity Analysis; Effective Connectivity; Machine Learning; Bioelectrical and Neuroengineering; Electrical and Electronics; Signal Processing

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

APA (6th Edition):

Janwattanapong, P. (2018). Connectivity Analysis of Electroencephalograms in Epilepsy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001

Chicago Manual of Style (16th Edition):

Janwattanapong, Panuwat. “Connectivity Analysis of Electroencephalograms in Epilepsy.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001.

MLA Handbook (7th Edition):

Janwattanapong, Panuwat. “Connectivity Analysis of Electroencephalograms in Epilepsy.” 2018. Web. 22 Apr 2021.

Vancouver:

Janwattanapong P. Connectivity Analysis of Electroencephalograms in Epilepsy. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001.

Council of Science Editors:

Janwattanapong P. Connectivity Analysis of Electroencephalograms in Epilepsy. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001


Florida International University

29. Chue-Sang, Joseph James. Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry.

Degree: PhD, Biomedical Engineering, 2019, Florida International University

  Preterm birth (PTB) is defined as delivery prior to 37 weeks of gestation. It is the leading cause of infant death worldwide, responsible for… (more)

Subjects/Keywords: Mueller matrix; polarimetry; collagen; cervix; preterm birth; Bioimaging and Biomedical Optics; Biomedical Devices and Instrumentation

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

APA (6th Edition):

Chue-Sang, J. J. (2019). Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4364 ; FIDC008885

Chicago Manual of Style (16th Edition):

Chue-Sang, Joseph James. “Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry.” 2019. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/4364 ; FIDC008885.

MLA Handbook (7th Edition):

Chue-Sang, Joseph James. “Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry.” 2019. Web. 22 Apr 2021.

Vancouver:

Chue-Sang JJ. Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/4364 ; FIDC008885.

Council of Science Editors:

Chue-Sang JJ. Measuring Collagen Arrangement and Its Relationship with Preterm Birth using Mueller Matrix Polarimetry. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/4364 ; FIDC008885

30. Rajaei, Hoda. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  Assessing complex brain activity as a function of the type of epilepsy and in the context of the 3D source of seizure onset remains… (more)

Subjects/Keywords: Electroencephalography; Epilepsy; Functional Connectivity; Interictal Spike; Temporal Lobe Epilepsy; Classification; Graph theory; Nonlinear Recurrence-based method; Epileptogenic zone; epileptic focus; Bioelectrical and Neuroengineering; Biomedical; Biomedical Engineering and Bioengineering; Computational Engineering; Electrical and Computer Engineering; Signal Processing

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

APA (6th Edition):

Rajaei, H. (2018). Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025

Chicago Manual of Style (16th Edition):

Rajaei, Hoda. “Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.” 2018. Doctoral Dissertation, Florida International University. Accessed April 22, 2021. https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025.

MLA Handbook (7th Edition):

Rajaei, Hoda. “Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.” 2018. Web. 22 Apr 2021.

Vancouver:

Rajaei H. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Apr 22]. Available from: https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025.

Council of Science Editors:

Rajaei H. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025

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