Theses, dissertations, professional papers, and doctoral projects from graduate students in the Computer Science department at the University of Nevada, Las Vegas.

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Theses/Dissertations from 2019

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Classification of Vegetation in Aerial Imagery via Neural Network, Gevand Balayan

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A Novel Feature Maps Covariance Minimization Approach for Advancing Convolutional Neural Network Performance, Bikram Basnet

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Machine Learning Approach for Prediction of Bone Mineral Density and Fragility Fracture in Osteoporosis, Bibek Bhattarai

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Permutation Flow Shop via Simulated Annealing and NEH, Pooja Bhatt

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Storing IOT Data Securely in a Private Ethereum Blockchain, Vinay Kumar Calastry Ramesh

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Machine Learning Prediction of Primary Tissue Origin of Cancer from Gene Expression Read Counts, Lohitha Chintham Reddy

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ProcessJ: The JVMCSP Code Generator, Oswaldo Benjamin Cisneros Merino

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Managing IOT Data on Hyperledger Blockchain, Akhil David

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Improving OCR Post Processing with Machine Learning Tools, Jorge Ramon Fonseca Cacho

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Machine Learning Classification of Primary Tissue Origin of Cancer from DNA Methylation Markers, Sravani Gannavarapu Surya Naga

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Coarse-Grained, Fine-Grained, and Lock-Free Concurrency Approaches for Self-Balancing B-Tree, Edward R. Jorgensen II

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Batching Problems with Constraints, Shradha Kapoor

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Approximation Algorithms for Illuminating 1.5D Terrain, Jiwan Khatiwada

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Private Group Communication in Blockchain Based on Diffie-Hellman Key Exchange, Zachary Steven Laney

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Static Malware Detection using Deep Neural Networks on Portable Executables, Piyush Aniruddha Puranik

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Performance Comparison of Message Queue Methods, Sanika Raje

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Benchmarking Permutation Flow Shop Problem: Adaptive and Enumerative Approaches Implementations via Novel Threading Techniques, Hari Prasad Sapkota

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Generating Kernel Aware Polygons, Bibek Subedi

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Rethinking Timestamping: Time Stamp Counter Design for Virtualized Environment, Alexander Tabatadze

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On The Human Factors Impact of Polyglot Programming on Programmer Productivity, Phillip Merlin Uesbeck

Theses/Dissertations from 2018

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Efficient and Practical Composition of Lock-Free Data Structures, Neha Bajracharya