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You searched for +publisher:"Clemson University" +contributor:("Brian C Dean"). Showing records 1 – 5 of 5 total matches.

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Clemson University

1. Kolodzey, William. Flexible Congestion Management for Error Reduction in Wireless Sensor Networks.

Degree: PhD, Computer Engineering, 2020, Clemson University

  The dissertation is concerned with the efficient resolution of data congestion on wireless sensor networks (WSNs). WSNs are of increasing relevance due to their… (more)

Subjects/Keywords: congestion; wireless sensor network

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APA (6th Edition):

Kolodzey, W. (2020). Flexible Congestion Management for Error Reduction in Wireless Sensor Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2594

Chicago Manual of Style (16th Edition):

Kolodzey, William. “Flexible Congestion Management for Error Reduction in Wireless Sensor Networks.” 2020. Doctoral Dissertation, Clemson University. Accessed April 15, 2021. https://tigerprints.clemson.edu/all_dissertations/2594.

MLA Handbook (7th Edition):

Kolodzey, William. “Flexible Congestion Management for Error Reduction in Wireless Sensor Networks.” 2020. Web. 15 Apr 2021.

Vancouver:

Kolodzey W. Flexible Congestion Management for Error Reduction in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Clemson University; 2020. [cited 2021 Apr 15]. Available from: https://tigerprints.clemson.edu/all_dissertations/2594.

Council of Science Editors:

Kolodzey W. Flexible Congestion Management for Error Reduction in Wireless Sensor Networks. [Doctoral Dissertation]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_dissertations/2594

2. Sengupta, Bishwambhar. Generation and Modeling of Radiation for Clinical and Research Applications.

Degree: PhD, Physics and Astronomy, 2019, Clemson University

  Cancer is one of the leading causes of death in today's world and also accounts for a major share of healthcare expenses for any… (more)

Subjects/Keywords: Effect of Low-Dose on cells; Geant4 Monte Carlo; Intenisty and Speed Modulation; Radiosurgery; X-ray characterization; X-ray irradiator

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APA (6th Edition):

Sengupta, B. (2019). Generation and Modeling of Radiation for Clinical and Research Applications. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2440

Chicago Manual of Style (16th Edition):

Sengupta, Bishwambhar. “Generation and Modeling of Radiation for Clinical and Research Applications.” 2019. Doctoral Dissertation, Clemson University. Accessed April 15, 2021. https://tigerprints.clemson.edu/all_dissertations/2440.

MLA Handbook (7th Edition):

Sengupta, Bishwambhar. “Generation and Modeling of Radiation for Clinical and Research Applications.” 2019. Web. 15 Apr 2021.

Vancouver:

Sengupta B. Generation and Modeling of Radiation for Clinical and Research Applications. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2021 Apr 15]. Available from: https://tigerprints.clemson.edu/all_dissertations/2440.

Council of Science Editors:

Sengupta B. Generation and Modeling of Radiation for Clinical and Research Applications. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2440


Clemson University

3. Ganta, Ashish. Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network.

Degree: MS, Electrical and Computer Engineering (Holcomb Dept. of), 2017, Clemson University

  EEG is the most common test done by neurologists to study a patient’s brainwaves for pre-epileptic conditions. This thesis explains an end-to-end deep learning… (more)

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APA (6th Edition):

Ganta, A. (2017). Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2759

Chicago Manual of Style (16th Edition):

Ganta, Ashish. “Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network.” 2017. Masters Thesis, Clemson University. Accessed April 15, 2021. https://tigerprints.clemson.edu/all_theses/2759.

MLA Handbook (7th Edition):

Ganta, Ashish. “Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network.” 2017. Web. 15 Apr 2021.

Vancouver:

Ganta A. Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network. [Internet] [Masters thesis]. Clemson University; 2017. [cited 2021 Apr 15]. Available from: https://tigerprints.clemson.edu/all_theses/2759.

Council of Science Editors:

Ganta A. Detection and Classification of Epileptiform Transients in EEG Signals Using Convolution Neural Network. [Masters Thesis]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_theses/2759

4. Jalasutram, Rommel. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.

Degree: PhD, Computer Science, 2014, Clemson University

  Consider the bipartite matching problem with two sets of participants: men (L) and women (R). Each person participating has a strict and complete preference… (more)

Subjects/Keywords: Computer Sciences

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APA (6th Edition):

Jalasutram, R. (2014). An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1615

Chicago Manual of Style (16th Edition):

Jalasutram, Rommel. “An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.” 2014. Doctoral Dissertation, Clemson University. Accessed April 15, 2021. https://tigerprints.clemson.edu/all_dissertations/1615.

MLA Handbook (7th Edition):

Jalasutram, Rommel. “An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists.” 2014. Web. 15 Apr 2021.

Vancouver:

Jalasutram R. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. [Internet] [Doctoral dissertation]. Clemson University; 2014. [cited 2021 Apr 15]. Available from: https://tigerprints.clemson.edu/all_dissertations/1615.

Council of Science Editors:

Jalasutram R. An Approximation Algorithm for the Stable Marriagae Problem with Ties and Incomplete Lists. [Doctoral Dissertation]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_dissertations/1615

5. Liu, Le. Effective Visualizations of the Uncertainty in Hurricane Forecasts.

Degree: PhD, School of Computing, 2017, Clemson University

 The track forecast cone developed by the U.S. National Hurricane Center is the one most universally adopted by the general public, the news media, and… (more)

Subjects/Keywords: ensemble; hurricane forecast; interpolation; sampling; uncertainty; visualization

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

APA (6th Edition):

Liu, L. (2017). Effective Visualizations of the Uncertainty in Hurricane Forecasts. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1974

Chicago Manual of Style (16th Edition):

Liu, Le. “Effective Visualizations of the Uncertainty in Hurricane Forecasts.” 2017. Doctoral Dissertation, Clemson University. Accessed April 15, 2021. https://tigerprints.clemson.edu/all_dissertations/1974.

MLA Handbook (7th Edition):

Liu, Le. “Effective Visualizations of the Uncertainty in Hurricane Forecasts.” 2017. Web. 15 Apr 2021.

Vancouver:

Liu L. Effective Visualizations of the Uncertainty in Hurricane Forecasts. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2021 Apr 15]. Available from: https://tigerprints.clemson.edu/all_dissertations/1974.

Council of Science Editors:

Liu L. Effective Visualizations of the Uncertainty in Hurricane Forecasts. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1974

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