Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Louisville" +contributor:("Nasraoui, Olfa"). Showing records 1 – 30 of 38 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters


University of Louisville

1. Reese, Derek. Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges.

Degree: M. Eng., 2010, University of Louisville

  Peer-to-peer networks have been growing in popularity over the past decade. There have been many new innovations that greatly improve access to a wide… (more)

Subjects/Keywords: Peer to peer; Network; Optimization; Contraband file

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Reese, D. (2010). Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/1194 ; https://ir.library.louisville.edu/etd/1194

Chicago Manual of Style (16th Edition):

Reese, Derek. “Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges.” 2010. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/1194 ; https://ir.library.louisville.edu/etd/1194.

MLA Handbook (7th Edition):

Reese, Derek. “Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges.” 2010. Web. 15 Jun 2019.

Vancouver:

Reese D. Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges. [Internet] [Masters thesis]. University of Louisville; 2010. [cited 2019 Jun 15]. Available from: 10.18297/etd/1194 ; https://ir.library.louisville.edu/etd/1194.

Council of Science Editors:

Reese D. Dynamic probe positioning within peer-to-peer networks for mining contraband file exchanges. [Masters Thesis]. University of Louisville; 2010. Available from: 10.18297/etd/1194 ; https://ir.library.louisville.edu/etd/1194


University of Louisville

2. Hawwash, Basheer, 1984-. Stream-dashboard : a big data stream clustering framework with applications to social media streams.

Degree: PhD, 2013, University of Louisville

 Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered… (more)

Subjects/Keywords: Data mining; Tracking changes; Machine learning; Clustering; Data stream clustering; Twitter

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hawwash, Basheer, 1. (2013). Stream-dashboard : a big data stream clustering framework with applications to social media streams. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/587 ; https://ir.library.louisville.edu/etd/587

Chicago Manual of Style (16th Edition):

Hawwash, Basheer, 1984-. “Stream-dashboard : a big data stream clustering framework with applications to social media streams.” 2013. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/587 ; https://ir.library.louisville.edu/etd/587.

MLA Handbook (7th Edition):

Hawwash, Basheer, 1984-. “Stream-dashboard : a big data stream clustering framework with applications to social media streams.” 2013. Web. 15 Jun 2019.

Vancouver:

Hawwash, Basheer 1. Stream-dashboard : a big data stream clustering framework with applications to social media streams. [Internet] [Doctoral dissertation]. University of Louisville; 2013. [cited 2019 Jun 15]. Available from: 10.18297/etd/587 ; https://ir.library.louisville.edu/etd/587.

Council of Science Editors:

Hawwash, Basheer 1. Stream-dashboard : a big data stream clustering framework with applications to social media streams. [Doctoral Dissertation]. University of Louisville; 2013. Available from: 10.18297/etd/587 ; https://ir.library.louisville.edu/etd/587


University of Louisville

3. Miles, Nicholas. Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material.

Degree: M. Eng., 2010, University of Louisville

  Because of the anonymity that P2P networks provide, they are an ideal medium for the exchange of contraband material such as child pornography. Unfortunately,… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Miles, N. (2010). Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/974 ; https://ir.library.louisville.edu/etd/974

Chicago Manual of Style (16th Edition):

Miles, Nicholas. “Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material.” 2010. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/974 ; https://ir.library.louisville.edu/etd/974.

MLA Handbook (7th Edition):

Miles, Nicholas. “Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material.” 2010. Web. 15 Jun 2019.

Vancouver:

Miles N. Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material. [Internet] [Masters thesis]. University of Louisville; 2010. [cited 2019 Jun 15]. Available from: 10.18297/etd/974 ; https://ir.library.louisville.edu/etd/974.

Council of Science Editors:

Miles N. Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material. [Masters Thesis]. University of Louisville; 2010. Available from: 10.18297/etd/974 ; https://ir.library.louisville.edu/etd/974


University of Louisville

4. Durak, Nurcan. Coronal loop detection from solar images and extraction of salient contour groups from cluttered images.

Degree: PhD, 2011, University of Louisville

  This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the… (more)

Subjects/Keywords: Curve tracing; Feature extraction; Contour grouping; Pattern recognition; Coronal loops; Image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Durak, N. (2011). Coronal loop detection from solar images and extraction of salient contour groups from cluttered images. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/386 ; https://ir.library.louisville.edu/etd/386

Chicago Manual of Style (16th Edition):

Durak, Nurcan. “Coronal loop detection from solar images and extraction of salient contour groups from cluttered images.” 2011. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/386 ; https://ir.library.louisville.edu/etd/386.

MLA Handbook (7th Edition):

Durak, Nurcan. “Coronal loop detection from solar images and extraction of salient contour groups from cluttered images.” 2011. Web. 15 Jun 2019.

Vancouver:

Durak N. Coronal loop detection from solar images and extraction of salient contour groups from cluttered images. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2019 Jun 15]. Available from: 10.18297/etd/386 ; https://ir.library.louisville.edu/etd/386.

Council of Science Editors:

Durak N. Coronal loop detection from solar images and extraction of salient contour groups from cluttered images. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/386 ; https://ir.library.louisville.edu/etd/386


University of Louisville

5. Saka, Esin. Swarm intelligence for clustering dynamic data sets for web usage mining and personalization.

Degree: PhD, 2011, University of Louisville

  Swarm Intelligence (SI) techniques were inspired by bee swarms, ant colonies, and most recently, bird flocks. Flock-based Swarm Intelligence (FSI) has several unique features,… (more)

Subjects/Keywords: Swarm intelligence; Flock of agent; Clustering; Recommender system; Dynamic clustering; Data mining and visualization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Saka, E. (2011). Swarm intelligence for clustering dynamic data sets for web usage mining and personalization. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/1248 ; https://ir.library.louisville.edu/etd/1248

Chicago Manual of Style (16th Edition):

Saka, Esin. “Swarm intelligence for clustering dynamic data sets for web usage mining and personalization.” 2011. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/1248 ; https://ir.library.louisville.edu/etd/1248.

MLA Handbook (7th Edition):

Saka, Esin. “Swarm intelligence for clustering dynamic data sets for web usage mining and personalization.” 2011. Web. 15 Jun 2019.

Vancouver:

Saka E. Swarm intelligence for clustering dynamic data sets for web usage mining and personalization. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2019 Jun 15]. Available from: 10.18297/etd/1248 ; https://ir.library.louisville.edu/etd/1248.

Council of Science Editors:

Saka E. Swarm intelligence for clustering dynamic data sets for web usage mining and personalization. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/1248 ; https://ir.library.louisville.edu/etd/1248


University of Louisville

6. Moalla, Mahdi. Developing computer vision technology to automate pitch analysis in baseball.

Degree: MS, 2017, University of Louisville

  Lokator is a baseball training system designed to document pitch location while teaching pitch command, selection and sequencing. It is composed of a pitching… (more)

Subjects/Keywords: computer vision; machine learning; baseball; Sports Management

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Moalla, M. (2017). Developing computer vision technology to automate pitch analysis in baseball. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2686 ; https://ir.library.louisville.edu/etd/2686

Chicago Manual of Style (16th Edition):

Moalla, Mahdi. “Developing computer vision technology to automate pitch analysis in baseball.” 2017. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2686 ; https://ir.library.louisville.edu/etd/2686.

MLA Handbook (7th Edition):

Moalla, Mahdi. “Developing computer vision technology to automate pitch analysis in baseball.” 2017. Web. 15 Jun 2019.

Vancouver:

Moalla M. Developing computer vision technology to automate pitch analysis in baseball. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2686 ; https://ir.library.louisville.edu/etd/2686.

Council of Science Editors:

Moalla M. Developing computer vision technology to automate pitch analysis in baseball. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2686 ; https://ir.library.louisville.edu/etd/2686


University of Louisville

7. Saka, Ernur. Region based gene expression via reanalysis of publicly available microarray data sets.

Degree: PhD, 2018, University of Louisville

  A DNA microarray is a high-throughput technology used to identify relative gene expression. One of the most widely used platforms is the Affymetrix® GeneChip®… (more)

Subjects/Keywords: custom CDF; microarrays; gene expression; probeset; probe group; UTR; Bioinformatics; Computational Biology; Other Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Saka, E. (2018). Region based gene expression via reanalysis of publicly available microarray data sets. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2902 ; https://ir.library.louisville.edu/etd/2902

Chicago Manual of Style (16th Edition):

Saka, Ernur. “Region based gene expression via reanalysis of publicly available microarray data sets.” 2018. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2902 ; https://ir.library.louisville.edu/etd/2902.

MLA Handbook (7th Edition):

Saka, Ernur. “Region based gene expression via reanalysis of publicly available microarray data sets.” 2018. Web. 15 Jun 2019.

Vancouver:

Saka E. Region based gene expression via reanalysis of publicly available microarray data sets. [Internet] [Doctoral dissertation]. University of Louisville; 2018. [cited 2019 Jun 15]. Available from: 10.18297/etd/2902 ; https://ir.library.louisville.edu/etd/2902.

Council of Science Editors:

Saka E. Region based gene expression via reanalysis of publicly available microarray data sets. [Doctoral Dissertation]. University of Louisville; 2018. Available from: 10.18297/etd/2902 ; https://ir.library.louisville.edu/etd/2902


University of Louisville

8. Ben Khalifa, Amine. Multiple instance fuzzy inference.

Degree: PhD, 2015, University of Louisville

  A novel fuzzy learning framework that employs fuzzy inference to solve the problem of multiple instance learning (MIL) is presented. The framework introduces a… (more)

Subjects/Keywords: multiple instance learning; fuzzy inference; ANFIS; mamdani; MI-ANFIS; MI-Mamdani; Artificial Intelligence and Robotics; Theory and Algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ben Khalifa, A. (2015). Multiple instance fuzzy inference. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2306 ; https://ir.library.louisville.edu/etd/2306

Chicago Manual of Style (16th Edition):

Ben Khalifa, Amine. “Multiple instance fuzzy inference.” 2015. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2306 ; https://ir.library.louisville.edu/etd/2306.

MLA Handbook (7th Edition):

Ben Khalifa, Amine. “Multiple instance fuzzy inference.” 2015. Web. 15 Jun 2019.

Vancouver:

Ben Khalifa A. Multiple instance fuzzy inference. [Internet] [Doctoral dissertation]. University of Louisville; 2015. [cited 2019 Jun 15]. Available from: 10.18297/etd/2306 ; https://ir.library.louisville.edu/etd/2306.

Council of Science Editors:

Ben Khalifa A. Multiple instance fuzzy inference. [Doctoral Dissertation]. University of Louisville; 2015. Available from: 10.18297/etd/2306 ; https://ir.library.louisville.edu/etd/2306


University of Louisville

9. Abdollahi, Behnoush, 1986-. Stereoscopic vision in vehicle navigation.

Degree: MS, 2011, University of Louisville

 Traffic sign (TS) detection and tracking is one of the main tasks of an autonomous vehicle which is addressed in the field of computer vision.… (more)

Subjects/Keywords: Computer vision; Traffic sign; Stereoscopic; Image processing; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abdollahi, Behnoush, 1. (2011). Stereoscopic vision in vehicle navigation. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/5 ; https://ir.library.louisville.edu/etd/5

Chicago Manual of Style (16th Edition):

Abdollahi, Behnoush, 1986-. “Stereoscopic vision in vehicle navigation.” 2011. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/5 ; https://ir.library.louisville.edu/etd/5.

MLA Handbook (7th Edition):

Abdollahi, Behnoush, 1986-. “Stereoscopic vision in vehicle navigation.” 2011. Web. 15 Jun 2019.

Vancouver:

Abdollahi, Behnoush 1. Stereoscopic vision in vehicle navigation. [Internet] [Masters thesis]. University of Louisville; 2011. [cited 2019 Jun 15]. Available from: 10.18297/etd/5 ; https://ir.library.louisville.edu/etd/5.

Council of Science Editors:

Abdollahi, Behnoush 1. Stereoscopic vision in vehicle navigation. [Masters Thesis]. University of Louisville; 2011. Available from: 10.18297/etd/5 ; https://ir.library.louisville.edu/etd/5


University of Louisville

10. Alvanpour, Aneseh. Uncovering exceptional predictions using exploratory analysis of second stage machine learning.

Degree: MS, 2017, University of Louisville

  Nowadays, algorithmic systems for making decisions are widely used to facilitate decisions in a variety of fields such as medicine, banking, applying for universities… (more)

Subjects/Keywords: machine learning; interpretability; decision trees; classification; exceptional predictions; decision rules; Other Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alvanpour, A. (2017). Uncovering exceptional predictions using exploratory analysis of second stage machine learning. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651

Chicago Manual of Style (16th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

MLA Handbook (7th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Web. 15 Jun 2019.

Vancouver:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

Council of Science Editors:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651


University of Louisville

11. Khmaissia, Fadoua. Data driven discovery of materials properties.

Degree: MS, 2017, University of Louisville

  The high pace of nowadays industrial evolution is creating an urgent need to design new cost efficient materials that can satisfy both current and… (more)

Subjects/Keywords: machine learning; materials science; bandgap; chalcopyrites; defect-induced magnetism; materials genome initiative; Other Chemical Engineering; Other Computer Engineering; Other Engineering Science and Materials; Other Materials Science and Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khmaissia, F. (2017). Data driven discovery of materials properties. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2700 ; https://ir.library.louisville.edu/etd/2700

Chicago Manual of Style (16th Edition):

Khmaissia, Fadoua. “Data driven discovery of materials properties.” 2017. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2700 ; https://ir.library.louisville.edu/etd/2700.

MLA Handbook (7th Edition):

Khmaissia, Fadoua. “Data driven discovery of materials properties.” 2017. Web. 15 Jun 2019.

Vancouver:

Khmaissia F. Data driven discovery of materials properties. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2700 ; https://ir.library.louisville.edu/etd/2700.

Council of Science Editors:

Khmaissia F. Data driven discovery of materials properties. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2700 ; https://ir.library.louisville.edu/etd/2700


University of Louisville

12. Acun Sener, Asuman Cagla. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.

Degree: MS, 2017, University of Louisville

  This thesis presents an applied data science methodology on a set of University of Louisville, Speed School of Engineering student data. We used data… (more)

Subjects/Keywords: data science; data science pipeline; visualization; exploratory factor analysis; educational data mining; Computer Engineering; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Acun Sener, A. C. (2017). A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758

Chicago Manual of Style (16th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

MLA Handbook (7th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Web. 15 Jun 2019.

Vancouver:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

Council of Science Editors:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758


University of Louisville

13. Reid, Graham. Landmine detection using semi-supervised learning.

Degree: MS, 2018, University of Louisville

  Landmine detection is imperative for the preservation of both military and civilian lives. While landmines are easy to place, they are relatively difficult to… (more)

Subjects/Keywords: label propagation; machine learning; k-nearest neighbors; landmine detection; edge histogram descriptors; fuzzy logic; Computational Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Reid, G. (2018). Landmine detection using semi-supervised learning. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132

Chicago Manual of Style (16th Edition):

Reid, Graham. “Landmine detection using semi-supervised learning.” 2018. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132.

MLA Handbook (7th Edition):

Reid, Graham. “Landmine detection using semi-supervised learning.” 2018. Web. 15 Jun 2019.

Vancouver:

Reid G. Landmine detection using semi-supervised learning. [Internet] [Masters thesis]. University of Louisville; 2018. [cited 2019 Jun 15]. Available from: 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132.

Council of Science Editors:

Reid G. Landmine detection using semi-supervised learning. [Masters Thesis]. University of Louisville; 2018. Available from: 10.18297/etd/3132 ; https://ir.library.louisville.edu/etd/3132


University of Louisville

14. Hosseini-Asl, Ehsan. Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis.

Degree: PhD, 2016, University of Louisville

  The success of machine learning algorithms generally depends on intermediate data representation, called features that disentangle the hidden factors of variation in data. Moreover,… (more)

Subjects/Keywords: machine learning; deep learning; feature learning; image analysis; segmentation; disease diagnosis; Theory and Algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hosseini-Asl, E. (2016). Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2456 ; https://ir.library.louisville.edu/etd/2456

Chicago Manual of Style (16th Edition):

Hosseini-Asl, Ehsan. “Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis.” 2016. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2456 ; https://ir.library.louisville.edu/etd/2456.

MLA Handbook (7th Edition):

Hosseini-Asl, Ehsan. “Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis.” 2016. Web. 15 Jun 2019.

Vancouver:

Hosseini-Asl E. Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis. [Internet] [Doctoral dissertation]. University of Louisville; 2016. [cited 2019 Jun 15]. Available from: 10.18297/etd/2456 ; https://ir.library.louisville.edu/etd/2456.

Council of Science Editors:

Hosseini-Asl E. Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis. [Doctoral Dissertation]. University of Louisville; 2016. Available from: 10.18297/etd/2456 ; https://ir.library.louisville.edu/etd/2456


University of Louisville

15. Soliman, Ahmed Soliman Naeem. Computational methods for the analysis of functional 4D-CT chest images.

Degree: PhD, 2016, University of Louisville

  Medical imaging is an important emerging technology that has been intensively used in the last few decades for disease diagnosis and monitoring as well… (more)

Subjects/Keywords: 4D-CT; lung segmentation; adaptive shape prior; radiation induced lung injury; computer aided diagnosis; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Soliman, A. S. N. (2016). Computational methods for the analysis of functional 4D-CT chest images. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2567 ; https://ir.library.louisville.edu/etd/2567

Chicago Manual of Style (16th Edition):

Soliman, Ahmed Soliman Naeem. “Computational methods for the analysis of functional 4D-CT chest images.” 2016. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2567 ; https://ir.library.louisville.edu/etd/2567.

MLA Handbook (7th Edition):

Soliman, Ahmed Soliman Naeem. “Computational methods for the analysis of functional 4D-CT chest images.” 2016. Web. 15 Jun 2019.

Vancouver:

Soliman ASN. Computational methods for the analysis of functional 4D-CT chest images. [Internet] [Doctoral dissertation]. University of Louisville; 2016. [cited 2019 Jun 15]. Available from: 10.18297/etd/2567 ; https://ir.library.louisville.edu/etd/2567.

Council of Science Editors:

Soliman ASN. Computational methods for the analysis of functional 4D-CT chest images. [Doctoral Dissertation]. University of Louisville; 2016. Available from: 10.18297/etd/2567 ; https://ir.library.louisville.edu/etd/2567


University of Louisville

16. Abdullin, Artur. An inter-domain supervision framework for collaborative clustering of data with mixed types.

Degree: PhD, 2013, University of Louisville

  We propose an Inter-Domain Supervision (IDS) clustering framework to discover clusters within diverse data formats, mixed-type attributes and different sources of data. This approach… (more)

Subjects/Keywords: Clustering; Heterogeneous; Mixed types; Collaborative; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abdullin, A. (2013). An inter-domain supervision framework for collaborative clustering of data with mixed types. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/6 ; https://ir.library.louisville.edu/etd/6

Chicago Manual of Style (16th Edition):

Abdullin, Artur. “An inter-domain supervision framework for collaborative clustering of data with mixed types.” 2013. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/6 ; https://ir.library.louisville.edu/etd/6.

MLA Handbook (7th Edition):

Abdullin, Artur. “An inter-domain supervision framework for collaborative clustering of data with mixed types.” 2013. Web. 15 Jun 2019.

Vancouver:

Abdullin A. An inter-domain supervision framework for collaborative clustering of data with mixed types. [Internet] [Doctoral dissertation]. University of Louisville; 2013. [cited 2019 Jun 15]. Available from: 10.18297/etd/6 ; https://ir.library.louisville.edu/etd/6.

Council of Science Editors:

Abdullin A. An inter-domain supervision framework for collaborative clustering of data with mixed types. [Doctoral Dissertation]. University of Louisville; 2013. Available from: 10.18297/etd/6 ; https://ir.library.louisville.edu/etd/6


University of Louisville

17. Sahu, Ankita. An interactive interface for nursing robots.

Degree: MS, 2017, University of Louisville

  Physical Human-Robot Interaction (pHRI) is inevitable for a human user while working with assistive robots. There are various aspects of pHRI, such as choosing… (more)

Subjects/Keywords: android app; latent semantic analysis; traded control; android robot; nursing assistant robot; speech engine; Computer and Systems Architecture; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sahu, A. (2017). An interactive interface for nursing robots. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2796 ; https://ir.library.louisville.edu/etd/2796

Chicago Manual of Style (16th Edition):

Sahu, Ankita. “An interactive interface for nursing robots.” 2017. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2796 ; https://ir.library.louisville.edu/etd/2796.

MLA Handbook (7th Edition):

Sahu, Ankita. “An interactive interface for nursing robots.” 2017. Web. 15 Jun 2019.

Vancouver:

Sahu A. An interactive interface for nursing robots. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2796 ; https://ir.library.louisville.edu/etd/2796.

Council of Science Editors:

Sahu A. An interactive interface for nursing robots. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2796 ; https://ir.library.louisville.edu/etd/2796


University of Louisville

18. Jahani, Parvaneh. Dynamic warehouse optimization using predictive analytics.

Degree: PhD, 2016, University of Louisville

  The forward area is a small area of a warehouse with a low picking cost. Two approaches that are investigated for selecting the SKUs… (more)

Subjects/Keywords: warehouse optimization; SKU assignment; slot allocation; forward reserve problem; multimode forward area; predictive analytics; Industrial Engineering; Other Operations Research, Systems Engineering and Industrial Engineering; Systems Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jahani, P. (2016). Dynamic warehouse optimization using predictive analytics. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2582 ; https://ir.library.louisville.edu/etd/2582

Chicago Manual of Style (16th Edition):

Jahani, Parvaneh. “Dynamic warehouse optimization using predictive analytics.” 2016. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2582 ; https://ir.library.louisville.edu/etd/2582.

MLA Handbook (7th Edition):

Jahani, Parvaneh. “Dynamic warehouse optimization using predictive analytics.” 2016. Web. 15 Jun 2019.

Vancouver:

Jahani P. Dynamic warehouse optimization using predictive analytics. [Internet] [Doctoral dissertation]. University of Louisville; 2016. [cited 2019 Jun 15]. Available from: 10.18297/etd/2582 ; https://ir.library.louisville.edu/etd/2582.

Council of Science Editors:

Jahani P. Dynamic warehouse optimization using predictive analytics. [Doctoral Dissertation]. University of Louisville; 2016. Available from: 10.18297/etd/2582 ; https://ir.library.louisville.edu/etd/2582


University of Louisville

19. Trabelsi, Mohamed. Robust fuzzy clustering for multiple instance regression.

Degree: MS, 2018, University of Louisville

  Multiple instance regression (MIR) operates on a collection of bags, where each bag contains multiple instances sharing an identical real-valued label. Only few instances,… (more)

Subjects/Keywords: MIR; multiple instance regression; bags; labels; robust fuzzy clustering; Computer Engineering; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Trabelsi, M. (2018). Robust fuzzy clustering for multiple instance regression. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2975 ; https://ir.library.louisville.edu/etd/2975

Chicago Manual of Style (16th Edition):

Trabelsi, Mohamed. “Robust fuzzy clustering for multiple instance regression.” 2018. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2975 ; https://ir.library.louisville.edu/etd/2975.

MLA Handbook (7th Edition):

Trabelsi, Mohamed. “Robust fuzzy clustering for multiple instance regression.” 2018. Web. 15 Jun 2019.

Vancouver:

Trabelsi M. Robust fuzzy clustering for multiple instance regression. [Internet] [Masters thesis]. University of Louisville; 2018. [cited 2019 Jun 15]. Available from: 10.18297/etd/2975 ; https://ir.library.louisville.edu/etd/2975.

Council of Science Editors:

Trabelsi M. Robust fuzzy clustering for multiple instance regression. [Masters Thesis]. University of Louisville; 2018. Available from: 10.18297/etd/2975 ; https://ir.library.louisville.edu/etd/2975


University of Louisville

20. Rawungyot, Surangkana. Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis.

Degree: PhD, 2014, University of Louisville

  Medical simulations, where uncommon clinical situations can be replicated, have proved to provide a more comprehensive training. Simulations involve the use of patient simulators,… (more)

Subjects/Keywords: Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rawungyot, S. (2014). Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/1762 ; https://ir.library.louisville.edu/etd/1762

Chicago Manual of Style (16th Edition):

Rawungyot, Surangkana. “Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis.” 2014. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/1762 ; https://ir.library.louisville.edu/etd/1762.

MLA Handbook (7th Edition):

Rawungyot, Surangkana. “Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis.” 2014. Web. 15 Jun 2019.

Vancouver:

Rawungyot S. Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis. [Internet] [Doctoral dissertation]. University of Louisville; 2014. [cited 2019 Jun 15]. Available from: 10.18297/etd/1762 ; https://ir.library.louisville.edu/etd/1762.

Council of Science Editors:

Rawungyot S. Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis. [Doctoral Dissertation]. University of Louisville; 2014. Available from: 10.18297/etd/1762 ; https://ir.library.louisville.edu/etd/1762


University of Louisville

21. Khalifa, Fahmi Abdallah Fahmi Mohammed. Analysis of contrast-enhanced medical images.

Degree: PhD, 2014, University of Louisville

  Early detection of human organ diseases is of great importance for the accurate diagnosis and institution of appropriate therapies. This can potentially prevent progression… (more)

Subjects/Keywords: Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khalifa, F. A. F. M. (2014). Analysis of contrast-enhanced medical images. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/741 ; https://ir.library.louisville.edu/etd/741

Chicago Manual of Style (16th Edition):

Khalifa, Fahmi Abdallah Fahmi Mohammed. “Analysis of contrast-enhanced medical images.” 2014. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/741 ; https://ir.library.louisville.edu/etd/741.

MLA Handbook (7th Edition):

Khalifa, Fahmi Abdallah Fahmi Mohammed. “Analysis of contrast-enhanced medical images.” 2014. Web. 15 Jun 2019.

Vancouver:

Khalifa FAFM. Analysis of contrast-enhanced medical images. [Internet] [Doctoral dissertation]. University of Louisville; 2014. [cited 2019 Jun 15]. Available from: 10.18297/etd/741 ; https://ir.library.louisville.edu/etd/741.

Council of Science Editors:

Khalifa FAFM. Analysis of contrast-enhanced medical images. [Doctoral Dissertation]. University of Louisville; 2014. Available from: 10.18297/etd/741 ; https://ir.library.louisville.edu/etd/741


University of Louisville

22. Arabmakki, Elaheh. A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data.

Degree: PhD, 2016, University of Louisville

  Stream processing frameworks are designed to process the streaming data that arrives in time. An example of such data is stream of emails that… (more)

Subjects/Keywords: streaming data; partial labeling; class imbalance; concept drift; classification; multi class; Computer Engineering; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Arabmakki, E. (2016). A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2602 ; https://ir.library.louisville.edu/etd/2602

Chicago Manual of Style (16th Edition):

Arabmakki, Elaheh. “A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data.” 2016. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2602 ; https://ir.library.louisville.edu/etd/2602.

MLA Handbook (7th Edition):

Arabmakki, Elaheh. “A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data.” 2016. Web. 15 Jun 2019.

Vancouver:

Arabmakki E. A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data. [Internet] [Doctoral dissertation]. University of Louisville; 2016. [cited 2019 Jun 15]. Available from: 10.18297/etd/2602 ; https://ir.library.louisville.edu/etd/2602.

Council of Science Editors:

Arabmakki E. A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data. [Doctoral Dissertation]. University of Louisville; 2016. Available from: 10.18297/etd/2602 ; https://ir.library.louisville.edu/etd/2602


University of Louisville

23. Nitzken, Matthew Joseph, 1987-. Shape analysis of the human brain.

Degree: PhD, 2015, University of Louisville

  Autism is a complex developmental disability that has dramatically increased in prevalence, having a decisive impact on the health and behavior of children. Methods… (more)

Subjects/Keywords: Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nitzken, Matthew Joseph, 1. (2015). Shape analysis of the human brain. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2067 ; https://ir.library.louisville.edu/etd/2067

Chicago Manual of Style (16th Edition):

Nitzken, Matthew Joseph, 1987-. “Shape analysis of the human brain.” 2015. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2067 ; https://ir.library.louisville.edu/etd/2067.

MLA Handbook (7th Edition):

Nitzken, Matthew Joseph, 1987-. “Shape analysis of the human brain.” 2015. Web. 15 Jun 2019.

Vancouver:

Nitzken, Matthew Joseph 1. Shape analysis of the human brain. [Internet] [Doctoral dissertation]. University of Louisville; 2015. [cited 2019 Jun 15]. Available from: 10.18297/etd/2067 ; https://ir.library.louisville.edu/etd/2067.

Council of Science Editors:

Nitzken, Matthew Joseph 1. Shape analysis of the human brain. [Doctoral Dissertation]. University of Louisville; 2015. Available from: 10.18297/etd/2067 ; https://ir.library.louisville.edu/etd/2067


University of Louisville

24. Tafazzoli, Faezeh. Vehicle make and model recognition for intelligent transportation monitoring and surveillance.

Degree: PhD, 2017, University of Louisville

  Vehicle Make and Model Recognition (VMMR) has evolved into a significant subject of study due to its importance in numerous Intelligent Transportation Systems (ITS),… (more)

Subjects/Keywords: vehicle recognition; multiple instance learning; saliency detection; deep learning; fine-grained classification; automated surveillance; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tafazzoli, F. (2017). Vehicle make and model recognition for intelligent transportation monitoring and surveillance. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2630 ; https://ir.library.louisville.edu/etd/2630

Chicago Manual of Style (16th Edition):

Tafazzoli, Faezeh. “Vehicle make and model recognition for intelligent transportation monitoring and surveillance.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2630 ; https://ir.library.louisville.edu/etd/2630.

MLA Handbook (7th Edition):

Tafazzoli, Faezeh. “Vehicle make and model recognition for intelligent transportation monitoring and surveillance.” 2017. Web. 15 Jun 2019.

Vancouver:

Tafazzoli F. Vehicle make and model recognition for intelligent transportation monitoring and surveillance. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2630 ; https://ir.library.louisville.edu/etd/2630.

Council of Science Editors:

Tafazzoli F. Vehicle make and model recognition for intelligent transportation monitoring and surveillance. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2630 ; https://ir.library.louisville.edu/etd/2630


University of Louisville

25. Badami, Mahsa. Peeking into the other half of the glass : handling polarization in recommender systems.

Degree: PhD, 2017, University of Louisville

  This dissertation is about filtering and discovering information online while using recommender systems. In the first part of our research, we study the phenomenon… (more)

Subjects/Keywords: data mining; web mining; recommender system; polarization; Computer Engineering; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Badami, M. (2017). Peeking into the other half of the glass : handling polarization in recommender systems. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2693 ; https://ir.library.louisville.edu/etd/2693

Chicago Manual of Style (16th Edition):

Badami, Mahsa. “Peeking into the other half of the glass : handling polarization in recommender systems.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2693 ; https://ir.library.louisville.edu/etd/2693.

MLA Handbook (7th Edition):

Badami, Mahsa. “Peeking into the other half of the glass : handling polarization in recommender systems.” 2017. Web. 15 Jun 2019.

Vancouver:

Badami M. Peeking into the other half of the glass : handling polarization in recommender systems. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2693 ; https://ir.library.louisville.edu/etd/2693.

Council of Science Editors:

Badami M. Peeking into the other half of the glass : handling polarization in recommender systems. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2693 ; https://ir.library.louisville.edu/etd/2693


University of Louisville

26. Abdollahi, Behnoush. Accurate and justifiable : new algorithms for explainable recommendations.

Degree: PhD, 2017, University of Louisville

  Websites and online services thrive with large amounts of online information, products, and choices, that are available but exceedingly difficult to find and discover.… (more)

Subjects/Keywords: recommender systems; machine learning; explanation; interpretable models; web mining; Artificial Intelligence and Robotics; Computer Sciences; Other Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abdollahi, B. (2017). Accurate and justifiable : new algorithms for explainable recommendations. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2744 ; https://ir.library.louisville.edu/etd/2744

Chicago Manual of Style (16th Edition):

Abdollahi, Behnoush. “Accurate and justifiable : new algorithms for explainable recommendations.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2744 ; https://ir.library.louisville.edu/etd/2744.

MLA Handbook (7th Edition):

Abdollahi, Behnoush. “Accurate and justifiable : new algorithms for explainable recommendations.” 2017. Web. 15 Jun 2019.

Vancouver:

Abdollahi B. Accurate and justifiable : new algorithms for explainable recommendations. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2744 ; https://ir.library.louisville.edu/etd/2744.

Council of Science Editors:

Abdollahi B. Accurate and justifiable : new algorithms for explainable recommendations. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2744 ; https://ir.library.louisville.edu/etd/2744


University of Louisville

27. Madhusoodhanan Sathik, Anju Panicker. A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection.

Degree: PhD, 2018, University of Louisville

  In this thesis, we propose a framework to detect and retrieve CPR activity scenes from medical simulation videos. Medical simulation is a modern training… (more)

Subjects/Keywords: CPR; medical simulation videos; activity detection and recognition; cardio pulmonary resuscitation; machine learning; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Madhusoodhanan Sathik, A. P. (2018). A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2976 ; https://ir.library.louisville.edu/etd/2976

Chicago Manual of Style (16th Edition):

Madhusoodhanan Sathik, Anju Panicker. “A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection.” 2018. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2976 ; https://ir.library.louisville.edu/etd/2976.

MLA Handbook (7th Edition):

Madhusoodhanan Sathik, Anju Panicker. “A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection.” 2018. Web. 15 Jun 2019.

Vancouver:

Madhusoodhanan Sathik AP. A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection. [Internet] [Doctoral dissertation]. University of Louisville; 2018. [cited 2019 Jun 15]. Available from: 10.18297/etd/2976 ; https://ir.library.louisville.edu/etd/2976.

Council of Science Editors:

Madhusoodhanan Sathik AP. A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection. [Doctoral Dissertation]. University of Louisville; 2018. Available from: 10.18297/etd/2976 ; https://ir.library.louisville.edu/etd/2976


University of Louisville

28. Nutakki, Gopi Chand. A framework for clustering and adaptive topic tracking on evolving text and social media data streams.

Degree: PhD, 2017, University of Louisville

  Recent advances and widespread usage of online web services and social media platforms, coupled with ubiquitous low cost devices, mobile technologies, and increasing capacity… (more)

Subjects/Keywords: stream clustering; topic modeling; Computer Engineering; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nutakki, G. C. (2017). A framework for clustering and adaptive topic tracking on evolving text and social media data streams. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834

Chicago Manual of Style (16th Edition):

Nutakki, Gopi Chand. “A framework for clustering and adaptive topic tracking on evolving text and social media data streams.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834.

MLA Handbook (7th Edition):

Nutakki, Gopi Chand. “A framework for clustering and adaptive topic tracking on evolving text and social media data streams.” 2017. Web. 15 Jun 2019.

Vancouver:

Nutakki GC. A framework for clustering and adaptive topic tracking on evolving text and social media data streams. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 15]. Available from: 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834.

Council of Science Editors:

Nutakki GC. A framework for clustering and adaptive topic tracking on evolving text and social media data streams. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834


University of Louisville

29. Chamberlain, Elizabeth Frances Bergeron. "If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition.

Degree: PhD, 2016, University of Louisville

  This dissertation addresses two deceptively discrete questions: (1) how academics might reach wider public audiences, and (2) how and why people cite the way… (more)

Subjects/Keywords: hyperlinks; citations; publics; rhetoric; composition; Rhetoric and Composition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chamberlain, E. F. B. (2016). "If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2598 ; https://ir.library.louisville.edu/etd/2598

Chicago Manual of Style (16th Edition):

Chamberlain, Elizabeth Frances Bergeron. “"If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition.” 2016. Doctoral Dissertation, University of Louisville. Accessed June 15, 2019. 10.18297/etd/2598 ; https://ir.library.louisville.edu/etd/2598.

MLA Handbook (7th Edition):

Chamberlain, Elizabeth Frances Bergeron. “"If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition.” 2016. Web. 15 Jun 2019.

Vancouver:

Chamberlain EFB. "If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition. [Internet] [Doctoral dissertation]. University of Louisville; 2016. [cited 2019 Jun 15]. Available from: 10.18297/etd/2598 ; https://ir.library.louisville.edu/etd/2598.

Council of Science Editors:

Chamberlain EFB. "If this stuff matters, why isn't it being shared?" : citations, hyperlinks, and potential public futures of online writing in rhetoric and composition. [Doctoral Dissertation]. University of Louisville; 2016. Available from: 10.18297/etd/2598 ; https://ir.library.louisville.edu/etd/2598


University of Louisville

30. Hawwash, Basheer, 1984-. Mining and tracking evolving web user trends from very large web server logs.

Degree: MS, 2008, University of Louisville

 Online organizations are always in search for innovative marketing strategies to better satisfy their current website users and lure new ones. Thus, recently, many organizations… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hawwash, Basheer, 1. (2008). Mining and tracking evolving web user trends from very large web server logs. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/588 ; https://ir.library.louisville.edu/etd/588

Chicago Manual of Style (16th Edition):

Hawwash, Basheer, 1984-. “Mining and tracking evolving web user trends from very large web server logs.” 2008. Masters Thesis, University of Louisville. Accessed June 15, 2019. 10.18297/etd/588 ; https://ir.library.louisville.edu/etd/588.

MLA Handbook (7th Edition):

Hawwash, Basheer, 1984-. “Mining and tracking evolving web user trends from very large web server logs.” 2008. Web. 15 Jun 2019.

Vancouver:

Hawwash, Basheer 1. Mining and tracking evolving web user trends from very large web server logs. [Internet] [Masters thesis]. University of Louisville; 2008. [cited 2019 Jun 15]. Available from: 10.18297/etd/588 ; https://ir.library.louisville.edu/etd/588.

Council of Science Editors:

Hawwash, Basheer 1. Mining and tracking evolving web user trends from very large web server logs. [Masters Thesis]. University of Louisville; 2008. Available from: 10.18297/etd/588 ; https://ir.library.louisville.edu/etd/588

[1] [2]

.