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You searched for +publisher:"Texas A&M University" +contributor:("Serpedin, Erchin"). Showing records 1 – 30 of 56 total matches.

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Texas A&M University

1. Li, Jiahao. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.

Degree: MS, Computer Engineering, 2013, Texas A&M University

 With the rapid advances in data transmission over various advanced underwater acoustic networks, it is important to develop the efficient protocol to obtain a high… (more)

Subjects/Keywords: Underwater wireless networks; multi-hop; quality of service; packet loss rate; end-to-end throughput; congestion window size control

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APA (6th Edition):

Li, J. (2013). Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151662

Chicago Manual of Style (16th Edition):

Li, Jiahao. “Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.” 2013. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/151662.

MLA Handbook (7th Edition):

Li, Jiahao. “Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.” 2013. Web. 18 Sep 2020.

Vancouver:

Li J. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/151662.

Council of Science Editors:

Li J. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151662


Texas A&M University

2. Parthasarathy, Saranya. Bloom Filter Based Intrusion Detection for Smart Grid.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 This thesis addresses the problem of local intrusion detection for SCADA (Supervisory Control and Data Acquisition) field devices in the smart grid. A methodology is… (more)

Subjects/Keywords: SCADA IDS; Bloom Filter Based IDS; Smart Grid IDS; IDS for SCADA System in Smart Grid

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APA (6th Edition):

Parthasarathy, S. (2012). Bloom Filter Based Intrusion Detection for Smart Grid. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768

Chicago Manual of Style (16th Edition):

Parthasarathy, Saranya. “Bloom Filter Based Intrusion Detection for Smart Grid.” 2012. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768.

MLA Handbook (7th Edition):

Parthasarathy, Saranya. “Bloom Filter Based Intrusion Detection for Smart Grid.” 2012. Web. 18 Sep 2020.

Vancouver:

Parthasarathy S. Bloom Filter Based Intrusion Detection for Smart Grid. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768.

Council of Science Editors:

Parthasarathy S. Bloom Filter Based Intrusion Detection for Smart Grid. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768


Texas A&M University

3. Redissi, Ahmed. Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings.

Degree: MS, Electrical Engineering, 2015, Texas A&M University

 This thesis explores the propagation of acoustic waves in pipe strings by designing a series of experimental procedures to characterize their behavior. It describes in… (more)

Subjects/Keywords: acoustic; wave; mode; dispersion; communication

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APA (6th Edition):

Redissi, A. (2015). Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174809

Chicago Manual of Style (16th Edition):

Redissi, Ahmed. “Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings.” 2015. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/174809.

MLA Handbook (7th Edition):

Redissi, Ahmed. “Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings.” 2015. Web. 18 Sep 2020.

Vancouver:

Redissi A. Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/174809.

Council of Science Editors:

Redissi A. Experimental Characterization of the Propagation of Acoustic Waves in Pipe Strings. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/174809


Texas A&M University

4. Apaydin, Meltem. Phase Retrieval of Sparse Signals from Magnitude Information.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 The ability to recover the phase information of a signal of interest from a measurement process plays an important role in many practical applications. When… (more)

Subjects/Keywords: phase retrieval; compressive sensing; sparsity

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APA (6th Edition):

Apaydin, M. (2014). Phase Retrieval of Sparse Signals from Magnitude Information. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153388

Chicago Manual of Style (16th Edition):

Apaydin, Meltem. “Phase Retrieval of Sparse Signals from Magnitude Information.” 2014. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/153388.

MLA Handbook (7th Edition):

Apaydin, Meltem. “Phase Retrieval of Sparse Signals from Magnitude Information.” 2014. Web. 18 Sep 2020.

Vancouver:

Apaydin M. Phase Retrieval of Sparse Signals from Magnitude Information. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/153388.

Council of Science Editors:

Apaydin M. Phase Retrieval of Sparse Signals from Magnitude Information. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153388


Texas A&M University

5. Lee, Seoktae. A Real-Time Face Tracking System Based On A Single PTZ Camera.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 It is evident that the effectiveness of education is strengthened from the assistance of distance learning which provides lectures online. The benefits of online education… (more)

Subjects/Keywords: Face Detection; OpenCV; Online Education; IP PTZ Camera; Tracking

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APA (6th Edition):

Lee, S. (2014). A Real-Time Face Tracking System Based On A Single PTZ Camera. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154149

Chicago Manual of Style (16th Edition):

Lee, Seoktae. “A Real-Time Face Tracking System Based On A Single PTZ Camera.” 2014. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/154149.

MLA Handbook (7th Edition):

Lee, Seoktae. “A Real-Time Face Tracking System Based On A Single PTZ Camera.” 2014. Web. 18 Sep 2020.

Vancouver:

Lee S. A Real-Time Face Tracking System Based On A Single PTZ Camera. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/154149.

Council of Science Editors:

Lee S. A Real-Time Face Tracking System Based On A Single PTZ Camera. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154149


Texas A&M University

6. Agyepong, Kwadwo. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 Thus far, a plethora of analysis on genome-wide gene expression microarray experiments on the cell cycle have been reported. Time series data from these experiments… (more)

Subjects/Keywords: Microarray; Cell Cycle; Time Series; Lomb-Scargle; Capon; MAPES; RIAA; LSPR

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APA (6th Edition):

Agyepong, K. (2012). Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815

Chicago Manual of Style (16th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

MLA Handbook (7th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Web. 18 Sep 2020.

Vancouver:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

Council of Science Editors:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815


Texas A&M University

7. Jainsky, Julien Sebastien 1981-. Defenses against Covert-Communications in Multimedia and Sensor Networks.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 Steganography and covert-communications represent a great and real threat today more than ever due to the evolution of modern communications. This doctoral work proposes defenses… (more)

Subjects/Keywords: Sensor Networks; Steganalysis; Steganography

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APA (6th Edition):

Jainsky, J. S. 1. (2012). Defenses against Covert-Communications in Multimedia and Sensor Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148156

Chicago Manual of Style (16th Edition):

Jainsky, Julien Sebastien 1981-. “Defenses against Covert-Communications in Multimedia and Sensor Networks.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/148156.

MLA Handbook (7th Edition):

Jainsky, Julien Sebastien 1981-. “Defenses against Covert-Communications in Multimedia and Sensor Networks.” 2012. Web. 18 Sep 2020.

Vancouver:

Jainsky JS1. Defenses against Covert-Communications in Multimedia and Sensor Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/148156.

Council of Science Editors:

Jainsky JS1. Defenses against Covert-Communications in Multimedia and Sensor Networks. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148156


Texas A&M University

8. Hsu, Fang-Han. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.

Degree: PhD, Electrical Engineering, 2013, Texas A&M University

 The advances of high-throughput technologies, such as next-generation sequencing and microarrays, have rapidly improved the accessibility of molecular profiles in tumor samples. However, due to… (more)

Subjects/Keywords: copy number alterations; gene expression; queueing theory; Bayesian network; drug effectiveness

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APA (6th Edition):

Hsu, F. (2013). Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149298

Chicago Manual of Style (16th Edition):

Hsu, Fang-Han. “Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.” 2013. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/149298.

MLA Handbook (7th Edition):

Hsu, Fang-Han. “Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.” 2013. Web. 18 Sep 2020.

Vancouver:

Hsu F. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/149298.

Council of Science Editors:

Hsu F. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149298


Texas A&M University

9. Mohammad, Muneer. Performance Analysis of Dispersed Spectrum Cognitive Radio Systems.

Degree: MS, Electrical Engineering, 2011, Texas A&M University

 Dispersed spectrum cognitive radio systems represent a promising approach to exploit the utilization of spectral resources to full extent. Therefore, the performance analysis of such… (more)

Subjects/Keywords: Dispersed Spectrum; Cognitive Radio; Frequency Diversity; M-QAM; M-PSK; Convolutional Coding; Adhoc; Effective transport capacity

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APA (6th Edition):

Mohammad, M. (2011). Performance Analysis of Dispersed Spectrum Cognitive Radio Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7422

Chicago Manual of Style (16th Edition):

Mohammad, Muneer. “Performance Analysis of Dispersed Spectrum Cognitive Radio Systems.” 2011. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7422.

MLA Handbook (7th Edition):

Mohammad, Muneer. “Performance Analysis of Dispersed Spectrum Cognitive Radio Systems.” 2011. Web. 18 Sep 2020.

Vancouver:

Mohammad M. Performance Analysis of Dispersed Spectrum Cognitive Radio Systems. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7422.

Council of Science Editors:

Mohammad M. Performance Analysis of Dispersed Spectrum Cognitive Radio Systems. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7422


Texas A&M University

10. Ekti, Ali Riza. Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis.

Degree: PhD, Electrical Engineering, 2015, Texas A&M University

 Unlike 2G systems where the radius of macro base station (MBS) could reach several kilometers, the cell radius of LTE-Advanced and next generation wireless networks… (more)

Subjects/Keywords: Heterogeneous Wireless Networks; 5G; Traffic Offloading; Power Consumption; Resource Allocation; Coverage Probability

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APA (6th Edition):

Ekti, A. R. (2015). Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155461

Chicago Manual of Style (16th Edition):

Ekti, Ali Riza. “Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis.” 2015. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/155461.

MLA Handbook (7th Edition):

Ekti, Ali Riza. “Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis.” 2015. Web. 18 Sep 2020.

Vancouver:

Ekti AR. Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/155461.

Council of Science Editors:

Ekti AR. Heterogeneous Wireless Networks: Traffic Offloading, Resource Allocation and Coverage Analysis. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155461


Texas A&M University

11. Meng, Yan. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.

Degree: MS, Electrical Engineering, 2015, Texas A&M University

 It is obvious that the excellence of education is boosted by the rise of E-learning, which provides electronic learning material through the Internet. The online… (more)

Subjects/Keywords: motion detection; writing tracking; face detection; face tracking

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APA (6th Edition):

Meng, Y. (2015). A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156219

Chicago Manual of Style (16th Edition):

Meng, Yan. “A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.” 2015. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/156219.

MLA Handbook (7th Edition):

Meng, Yan. “A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.” 2015. Web. 18 Sep 2020.

Vancouver:

Meng Y. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/156219.

Council of Science Editors:

Meng Y. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156219


Texas A&M University

12. Meng, Yan. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.

Degree: MS, Electrical Engineering, 2015, Texas A&M University

 It is obvious that the excellence of education is boosted by the rise of E-learning, which provides electronic learning material through the Internet. The online… (more)

Subjects/Keywords: motion detection; writing tracking; face detection; face tracking

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APA (6th Edition):

Meng, Y. (2015). A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156220

Chicago Manual of Style (16th Edition):

Meng, Yan. “A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.” 2015. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/156220.

MLA Handbook (7th Edition):

Meng, Yan. “A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera.” 2015. Web. 18 Sep 2020.

Vancouver:

Meng Y. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/156220.

Council of Science Editors:

Meng Y. A Real-Time Face and Writing Tracking System Based on the Combination of a PTZ Camera and a Static Camera. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156220


Texas A&M University

13. Qaraqe, Marwa Khalid. Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 Epilepsy is a neurological disorder that is associated with sudden and recurrent seizures. Epilepsy affects 65 million people world-wide and is the third most common… (more)

Subjects/Keywords: Seizure Detection; Common Spatial Patterns; Epilepsy

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APA (6th Edition):

Qaraqe, M. K. (2016). Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156858

Chicago Manual of Style (16th Edition):

Qaraqe, Marwa Khalid. “Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals.” 2016. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/156858.

MLA Handbook (7th Edition):

Qaraqe, Marwa Khalid. “Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals.” 2016. Web. 18 Sep 2020.

Vancouver:

Qaraqe MK. Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/156858.

Council of Science Editors:

Qaraqe MK. Patient-Specific Epileptic Seizure Onset Detection via Fused Eeg and Ecg Signals. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156858


Texas A&M University

14. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/157796.

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 18 Sep 2020.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/157796.

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796


Texas A&M University

15. Bahadorinejad, Arghavan. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due… (more)

Subjects/Keywords: Fault detection; Classification

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APA (6th Edition):

Bahadorinejad, A. (2017). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161434

Chicago Manual of Style (16th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/161434.

MLA Handbook (7th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Web. 18 Sep 2020.

Vancouver:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/161434.

Council of Science Editors:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161434


Texas A&M University

16. Noor, Amina. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.

Degree: PhD, Electrical Engineering, 2013, Texas A&M University

 Inferring gene regulatory networks (GRNs) is of profound importance in the field of computational biology and bioinformatics. Understanding the gene-gene and gene- transcription factor (TF)… (more)

Subjects/Keywords: gene regulatory network; network component analysis

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APA (6th Edition):

Noor, A. (2013). Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151933

Chicago Manual of Style (16th Edition):

Noor, Amina. “Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.” 2013. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/151933.

MLA Handbook (7th Edition):

Noor, Amina. “Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.” 2013. Web. 18 Sep 2020.

Vancouver:

Noor A. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/151933.

Council of Science Editors:

Noor A. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151933


Texas A&M University

17. Noor, Amina. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the… (more)

Subjects/Keywords: gene network modeling; particle filter; lasso

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APA (6th Edition):

Noor, A. (2012). Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

Chicago Manual of Style (16th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

MLA Handbook (7th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Web. 18 Sep 2020.

Vancouver:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

Council of Science Editors:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860


Texas A&M University

18. Park, Sang Woo. Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 This dissertation studies several aspects of the interface between information theory and signal processing. Several new and existing results in information theory are researched from… (more)

Subjects/Keywords: Stein Identity; De Bruijn Identity; KKT Conditions; Bayesian Cramér-Rao Lower Bound; Cramér-Rao Lower Bound; Calculus of Variations; Fisher Information Inequality; Extremal Inequality; Entropy Power Inequality; Estimation Theory; Wireless Communications; Signal Processing; Information Theory

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APA (6th Edition):

Park, S. W. (2012). Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148120

Chicago Manual of Style (16th Edition):

Park, Sang Woo. “Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/148120.

MLA Handbook (7th Edition):

Park, Sang Woo. “Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications.” 2012. Web. 18 Sep 2020.

Vancouver:

Park SW. Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/148120.

Council of Science Editors:

Park SW. Aspects of Interface between Information Theory and Signal Processing with Applications to Wireless Communications. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148120


Texas A&M University

19. Ahmad, Aitzaz 1984-. Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 Wireless sensor networks (WSNs) consist of a large number of sensor nodes, capable of on-board sensing and data processing, that are employed to observe some… (more)

Subjects/Keywords: Classical and Bayesian Bounds; Factor Graphs and Message Passing; Parameter Estimation; Wireless Sensor Networks; Node Localization; Time Synchronization

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APA (6th Edition):

Ahmad, A. 1. (2012). Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148131

Chicago Manual of Style (16th Edition):

Ahmad, Aitzaz 1984-. “Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/148131.

MLA Handbook (7th Edition):

Ahmad, Aitzaz 1984-. “Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds.” 2012. Web. 18 Sep 2020.

Vancouver:

Ahmad A1. Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/148131.

Council of Science Editors:

Ahmad A1. Timing Synchronization and Node Localization in Wireless Sensor Networks: Efficient Estimation Approaches and Performance Bounds. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148131


Texas A&M University

20. Ekin, Sabit 1981-. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 Advances in communications technologies entail demands for higher data rates. One of the popular solutions to fulfill this requirement was to allocate additional bandwidth, which… (more)

Subjects/Keywords: hyper fading channels; interference spreading; spectrum sharing systems; OFDM-based cognitive radio; subcarrier collisions; Random subcarrier allocation

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APA (6th Edition):

Ekin, S. 1. (2012). Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148142

Chicago Manual of Style (16th Edition):

Ekin, Sabit 1981-. “Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/148142.

MLA Handbook (7th Edition):

Ekin, Sabit 1981-. “Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.” 2012. Web. 18 Sep 2020.

Vancouver:

Ekin S1. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/148142.

Council of Science Editors:

Ekin S1. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148142


Texas A&M University

21. Qaraqe, Marwa. Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 This thesis focuses on the development of multiuser access schemes for spectrum sharing systems whereby secondary users that are randomly positioned over the coverage area… (more)

Subjects/Keywords: cognitive radio; Spectrum Sharing Systems; Multiuser spectrum

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APA (6th Edition):

Qaraqe, M. (2012). Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11398

Chicago Manual of Style (16th Edition):

Qaraqe, Marwa. “Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems.” 2012. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11398.

MLA Handbook (7th Edition):

Qaraqe, Marwa. “Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems.” 2012. Web. 18 Sep 2020.

Vancouver:

Qaraqe M. Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11398.

Council of Science Editors:

Qaraqe M. Uplink Multiuser Scheduling Techniques for Spectrum Sharing Systems. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11398


Texas A&M University

22. Wajid, Bilal. Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly.

Degree: PhD, Electrical Engineering, 2015, Texas A&M University

 Bioinformatics skills required for genome sequencing often represent a significant hurdle for many researchers working in computational biology. This dissertation highlights the significance of genome… (more)

Subjects/Keywords: Genome assembly; Minimum Description Length; Reference assisted assembly; De-Bruijn Graph; Bayesian Statistics; Comparative assembly; Gibbs Sampling; Ubuntu; Linux

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APA (6th Edition):

Wajid, B. (2015). Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155464

Chicago Manual of Style (16th Edition):

Wajid, Bilal. “Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly.” 2015. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/155464.

MLA Handbook (7th Edition):

Wajid, Bilal. “Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly.” 2015. Web. 18 Sep 2020.

Vancouver:

Wajid B. Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/155464.

Council of Science Editors:

Wajid B. Information Theory, Graph Theory and Bayesian Statistics based improved and robust methods in Genome Assembly. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155464


Texas A&M University

23. Dehghannasiri, Roozbeh. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 In many real-world engineering applications, model uncertainty is inherent. Largescale dynamical systems cannot be perfectly modeled due to systems complexity, lack of enough training data,… (more)

Subjects/Keywords: Objective-based experimental design; Mean objective cost of uncertainty; Intrinsically Bayesian robust operator; Gene regulatory networks; Canonical expansions; Wiener filtering; Signal compression

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APA (6th Edition):

Dehghannasiri, R. (2016). Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158097

Chicago Manual of Style (16th Edition):

Dehghannasiri, Roozbeh. “Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.” 2016. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/158097.

MLA Handbook (7th Edition):

Dehghannasiri, Roozbeh. “Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.” 2016. Web. 18 Sep 2020.

Vancouver:

Dehghannasiri R. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/158097.

Council of Science Editors:

Dehghannasiri R. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158097


Texas A&M University

24. Jiang, Xingde. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 Bolstered resubstitution is a simple and fast error estimation method that has been shown to perform better than cross-validation and comparably with bootstrap in small-sample… (more)

Subjects/Keywords: pattern recognition; naive-Bayes; bolstered error estimation; model selection; RNA-Seq; bioinformatics; banana cultivars; drought stress; pathogen disease; genes and pathways; biotic and abiotic stress; pathway analysis

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APA (6th Edition):

Jiang, X. (2016). Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158920

Chicago Manual of Style (16th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/158920.

MLA Handbook (7th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Web. 18 Sep 2020.

Vancouver:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/158920.

Council of Science Editors:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158920

25. Panduru, Flaviu Gabriel. Performance analysis of symbol timing estimators for time-varying MIMO channels.

Degree: MS, Vocational Education, 2004, Texas A&M University

 The purpose of this thesis is to derive and analyze the theoretical limits for estimatingthe symboltiming delayof Multiple-Input Multiple-Output (MIMO)systems. Two main N X M(more)

Subjects/Keywords: timing estimation; time delay; time-varying; MIMO; CRB; BB; Cramer-Rao bound; Barankin bound

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Panduru, F. G. (2004). Performance analysis of symbol timing estimators for time-varying MIMO channels. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1051

Chicago Manual of Style (16th Edition):

Panduru, Flaviu Gabriel. “Performance analysis of symbol timing estimators for time-varying MIMO channels.” 2004. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/1051.

MLA Handbook (7th Edition):

Panduru, Flaviu Gabriel. “Performance analysis of symbol timing estimators for time-varying MIMO channels.” 2004. Web. 18 Sep 2020.

Vancouver:

Panduru FG. Performance analysis of symbol timing estimators for time-varying MIMO channels. [Internet] [Masters thesis]. Texas A&M University; 2004. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/1051.

Council of Science Editors:

Panduru FG. Performance analysis of symbol timing estimators for time-varying MIMO channels. [Masters Thesis]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/1051

26. Alshawaqfeh, Mustafa Kamal Mustafa. Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 Recent advances in high-throughput sequencing technologies open a new era of genomics studies, called metagenomics. Rapidly, metagenomics has presented itself as the standard approach for… (more)

Subjects/Keywords: Metagenomic

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APA (6th Edition):

Alshawaqfeh, M. K. M. (2017). Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161461

Chicago Manual of Style (16th Edition):

Alshawaqfeh, Mustafa Kamal Mustafa. “Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/161461.

MLA Handbook (7th Edition):

Alshawaqfeh, Mustafa Kamal Mustafa. “Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data.” 2017. Web. 18 Sep 2020.

Vancouver:

Alshawaqfeh MKM. Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/161461.

Council of Science Editors:

Alshawaqfeh MKM. Signal Processing and Machine Learning Techniques for Analyzing Metagenomic Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161461

27. Kundu, Arnav. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.

Degree: MS, Electrical Engineering, 2019, Texas A&M University

 The electric power grid uses a set of measuring and switching devices for its operations and control. The data retrieved from the measuring instruments is… (more)

Subjects/Keywords: Deep Neural Networks; False Data Injection Attacks; Anomaly Detection; Auto-encoders; Recurrent Neural Networks; Location; Attention

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APA (6th Edition):

Kundu, A. (2019). DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186225

Chicago Manual of Style (16th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/186225.

MLA Handbook (7th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Web. 18 Sep 2020.

Vancouver:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/186225.

Council of Science Editors:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/186225

28. Kundu, Arnav. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.

Degree: MS, Electrical Engineering, 2019, Texas A&M University

 The electric power grid uses a set of measuring and switching devices for its operations and control. The data retrieved from the measuring instruments is… (more)

Subjects/Keywords: Deep Neural Networks; False Data Injection Attacks; Anomaly Detection; Auto-encoders; Recurrent Neural Networks; Location; Attention

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APA (6th Edition):

Kundu, A. (2019). DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186185

Chicago Manual of Style (16th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/186185.

MLA Handbook (7th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Web. 18 Sep 2020.

Vancouver:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/186185.

Council of Science Editors:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/186185

29. Koonchanok, Ratanond. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Sparse canonical correlation analysis (sparse CCA) is a method for identifying sparse linear combinations of the two sets of variables that are highly correlated with… (more)

Subjects/Keywords: Sparse Canonical Correlation Analysis

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APA (6th Edition):

Koonchanok, R. (2017). Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169581

Chicago Manual of Style (16th Edition):

Koonchanok, Ratanond. “Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.” 2017. Masters Thesis, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/169581.

MLA Handbook (7th Edition):

Koonchanok, Ratanond. “Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.” 2017. Web. 18 Sep 2020.

Vancouver:

Koonchanok R. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/169581.

Council of Science Editors:

Koonchanok R. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169581

30. Wang, Xu. Contributions to Resource Allocation in Cognitive Radio Networks.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 The continuous increase in the number of wireless devices and the huge demand for higher data rates have promoted the development of new wireless communications… (more)

Subjects/Keywords: Cognitive radio; resource allocation; spectrum sensing; convex optimization; monotonic optimization

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APA (6th Edition):

Wang, X. (2017). Contributions to Resource Allocation in Cognitive Radio Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165774

Chicago Manual of Style (16th Edition):

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2020. http://hdl.handle.net/1969.1/165774.

MLA Handbook (7th Edition):

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Web. 18 Sep 2020.

Vancouver:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/1969.1/165774.

Council of Science Editors:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165774

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