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Submissions from 2023

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Multi-Relational Data Characterization by Tensors: Perturbation Analysis, Shih Yu Chang and Hsiao Chun Wu

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Theoretical and Algorithmic Study of Inverses of Arbitrary High-Dimensional Multi-Input Multi-Output Linear-Time-Invariant Systems, Shih Yu Chang and Hsiao Chun Wu

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Tensor Levenberg-Marquardt Algorithm for Multi-Relational Traffic Prediction, Shih Yu Chang, Hsiao Chun Wu, Yen Cheng Kuan, and Yiyan Wu

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Variable-Bit-Rate Video Frame-Size Prediction by the Extended Kalman Filter Using Levenberg-Marquardt Algorithm, Shih Yu Chang, Hsiao Chun Wu, and Kun Yan

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Personalized Multimedia Recommendation Systems Using Higher-Order Tensor Singular-Value-Decomposition, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Xinjia Chen, Scott Chih Hao Huang, and Yiyan Wu

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IEEE Day Panel Discussion on Ethical AI: Shaping the Future Responsibly, Meenakshi Jindal, Chinmay Nerurkar, Katharina Koerner, Kumaravel Appavoo, and Vishnu S. Pendyala

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Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved, Vishnu S. Pendyala

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The Rapid Pace of Innovation Calls for a Drastic Revamp of the National Science Foundation, Vishnu S. Pendyala

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Want a 4-day workweek? Invest in AI, Vishnu S. Pendyala

Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and Hyungkyun Kim

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Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and HyungKyun Kim

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Spectral analysis perspective of why misinformation containment is still an unsolved problem, Vishnu S. Pendyala and Foroozan Sadat Akhavan Tabatabaii

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Reconnoitering Generative Deep Learning Through Image Generation From Text, Vishnu S. Pendyala and VigneshKumar Thangarajan

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Intelligent Computing and Communication | Proceedings of 6th ICICC 2022, M. Seetha, Sateesh K. Peddoju, Vishnu Pendyala, and Vedula V. S. S. S. Chakravarthy

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Predictive Auto-scaler for Kubernetes Cloud, Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, and Ji Yong Park

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Machine learning-based predictive model for prevention of metabolic syndrome, Hyunseok Shin, Simon Shim, and Sejong Oh

Submissions from 2022

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Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms, Mst Shapna Akter, Md Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, and Alfredo Cuzzocrea

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Convenient Tail Bounds for Sums of Random Tensors, Shih Yu Chang and Wen Wei Lin

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Tensor Manifold with Tucker Rank Constraints, Shih Yu Chang, Ziyan Luo, and Liqun Qi

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General tail bounds for random tensors summation: Majorization approach, Shih Yu Chang and Yimin Wei

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T-product tensors—part II: tail bounds for sums of random T-product tensors, Shih Yu Chang and Yimin Wei

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T-square tensors—Part I: inequalities, Shih Yu Chang and Yimin Wei

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Divide-and-Iterate Approach to Big Data Systems, Shih Yu Chang and Hsiao Chun Wu

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General Tensor Least-Mean-Squares Filter for Multi-Channel Multi-Relational Signals, Shih Yu Chang and Hsiao Chun Wu

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Multi-Relational Data Characterization by Tensors: Tensor Inversion, Shih Yu Chang and Hsiao Chun Wu

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Tensor Kalman Filter and Its Applications, Shih Yu Chang and Hsiao Chun Wu

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Tensor Quantization: High-Dimensional Data Compression, Shih Yu Chang and Hsiao Chun Wu

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Tensor Wiener Filter, Shih Yu Chang and Hsiao Chun Wu

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Robust Satellite-Orbit Prediction Using Artificial Neural Network Based on Levenberg-Marquardt Algorithm, Shih Yu Chang, Hsiao Chun Wu, Fotios Sotiropoulos, and Usman S. Goni

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New Efficient Approach to Solve Big Data Systems Using Parallel Gauss–Seidel Algorithms, Shih Yu Chang, Hsiao Chun Wu, and Yifan Wang

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New probabilistic SINR analysis for capacity and reception-quality studies of DTV transmitter identification systems, Shih Yu Chang, Hsiao Chun Wu, Yiyan Wu, and Xinjia Chen

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Novel Extended Kalman Filter Using Matrix-Based Levenberg-Marquardt Algorithm and Its Application for Variable Bit-Rate Video Frame-Size Prediction, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, and Yiyan Wu

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A Bilevel Optimization Model Based on Edge Computing for Microgrid, Yi Chen, Kadhim Hayawi, Meikai Fan, Shih Yu Chang, Jie Tang, Ling Yang, Rui Zhao, Zhongqi Mao, and Hong Wen

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On Physical-Layer Authentication via Online Transfer Learning, Yi Chen, Pin Han Ho, Hong Wen, Shih Yu Chang, and Shahriar Real

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Machine learning to predict sports-related concussion recovery using clinical data, Yan Chu, Gregory Knell, Riley P. Brayton, Scott O. Burkhart, Xiaoqian Jiang, and Shayan Shams

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OCI Runtime Comparison and Analysis Study, Sung Hwan Jeon, Simon Shim, Haejin Chung, and Yunmook Nah

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A Preliminary Result of Food Object Detection using Swin Transformer, Daeil Jung, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh

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A comprehensive artificial intelligence framework for dental diagnosis and charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, and Shayan Shams

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Secure human action recognition by encrypted neural network inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, and Shayan Shams

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Prediction of Formation Conditions of Gas Hydrates Using Machine Learning and Genetic Programming, Anupama Kumari, Mukund Madhaw, and Vishnu S. Pendyala

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Use of the deep learning approach to measure alveolar bone level, Chun Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, and Shayan Shams

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Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Limeng Pu, and Shih Yu Chang

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Automatic Human Posture Recognition Using Kinect Sensors by Advanced Graph Convolutional Network, Guannan Liu, Rende Xie, Hsiao Chun Wu, Shih Hau Fang, Kun Yan, Yiyan Wu, and Shih Yu Chang

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Real-Time Metal-Surface-Defect Detection and Classification Using Advanced Machine Learning Technique, Wei Liu, Kun Yan, Hsiao Chun Wu, Xiangli Zhang, Shih Yu Chang, and Yiyan Wu

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False Data Injection Attack on Atmospheric Electric Field in Thunderstorm Warning, Xiang Li, Kadhim Hayawi, Yi Chen, Shih Yu Chang, Hong Wen, Pin Han Ho, Ling Yang, and Qiyuan Yin

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Multivariate-aided Power-consumption Prediction Based on LSTM-Kalman Filter, Shuai Lyu, Haoran Mei, Limei Peng, Shih Yu Chang, and Jiang Mo

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A Novel Machine Learning Based Framework for Bridge Condition Analysis, Mohammad Masum, Nafisa Anjum, Md Jobair Hossain Faruk, Hossain Shahriar, Nazmus Sakib, Maria Valero, M. A. Karim, Akond Rahman, Fan Wu, and Alfredo Cuzzocrea

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A multitask deep learning approach for pulmonary embolism detection and identification, Xiaotian Ma, Emma C. Ferguson, Xiaoqian Jiang, Sean I. Savitz, and Shayan Shams

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Energy-Efficient Segment Clustering Algorithm for UAV trajectory, Haoran Mei, Limei Peng, Shih Yu Chang, Yin Zhang, and Pin Han Ho

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Enhancing the Cognition and Efficacy of Machine Learning Through Similarity, Vishnu Pendyala and Rakesh Amireddy

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Artificial Intelligence Enabled, Social Media Leveraging Job Matching System for Employers and Applicants, Vishnu Pendyala, Nishtha Atrey, Tina Aggarwal, and Saumya Goyal

Emerging Trends, Issues and Challenges in Machine Learning and Big Data, Vishnu S. Pendyala

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It is time to leave ‘caste’ behind, Vishnu S. Pendyala

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Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala

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Relating Machine Learning to the Real-World: Analogies to Enhance Learning Comprehension, Vishnu S. Pendyala

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Enhanced Algorithmic Job Matching based on a Comprehensive Candidate Profile using NLP and Machine Learning, Vishnu S. Pendyala, Nishtha Atrey, Tina Aggarwal, and Saumya Goyal

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An Overview of Carbon Footprint Mitigation Strategies. Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala and Saritha Podali

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Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, and Lokesh Vadlamudi

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A reinforcement learning-based path planning for collaborative UAVs, Shahnila Rahim, Mian Muaz Razaq, Shih Yu Chang, and Limei Peng

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Prediction of Metabolic Syndrome based on Non-invasive Measurement Features for Chronic Disease Management, Hyunseok Shin, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh

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Advances in non-invasive biosensing measures to monitor wound healing progression, Walker D. Short, Oluyinka O. Olutoye, Benjamin W. Padon, Umang M. Parikh, Daniel Colchado, Hima Vangapandu, Shayan Shams, Taiyun Chi, Jangwook P. Jung, and Swathi Balaji

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Deep Learning for Conversions Between Melodic Frameworks of Indian Classical Music, Rohan Surana, Aakash Varshney, and Vishnu S. Pendyala

Submissions from 2021

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Intelligent Approaches for Fault-Tolerance in Radio Communication of Autonomous Vehicles, Yazid Benazzouz, Oum El Kheir Aktouf, Rachid Boudour, and Jerry Gao

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Multi-Relational Data Characterization by Tensors: Perturbation Analysis, Shih Yu Chang and Hsiao Chun Wu

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Tensor multivariate trace inequalities and their applications, Shih Yu Chang and Hsiao Chun Wu

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Tensor recursive least squares filters for multichannel interrelational signals, Shih Yu Chang and Hsiao Chun Wu

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New algebraic studies of pattern attributes in maximum-length shift-register sequences, Shih Yu Chang, Hsiao Chun Wu, and Scott C.H. Huang

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New Study of DTV Transmitter-Identification Sequence Capacity, Shih Yu Chang, Hsiao Chun Wu, and Yiyan Wu

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Water quality prediction of salton sea using machine learning and big data techniques, Priyanka Chawla, Xiyu Cao, Yichen Fu, Ching min Hu, Meng Wang, Shenquan Wang, and Jerry Zeyu Gao

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A Reversible Data Hiding Scheme Based on Multiple Residual Histogram Shifting, Deyin Fu, Ping Ping, Hongze Zhao, Jie Hao, Salma Abdelgadir Elsharif Abdalla, and Zeyu Gao

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Wireless Sensor or Access-Point Deployment Using Coverage-Area Maximization over Visibility Graph, Venkata Gadiraju, Hsiao Chun Wu, Costas Busch, Prasanga Neupane, and Shih Yu Chang

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Novel Sensor/Access-Point Coverage-Area Maximization for Arbitrary Indoor Polygonal Geometries, Venkata Gadiraju, Hsiao Chun Wu, Costas Busch, Prasanga Neupane, Shih Yu Chang, and Scott C.H. Huang

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Model-Based Test Modeling and Automation Tool for Intelligent Mobile Apps, Jerry Gao, Pankaj Hanmant Patil, Shengqiang Lu, Dongyu Cao, and Chuanai Tao

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Two-Stage Sequence Model for Maximum Throughput in Cluster Tools, Taehee Jeong, Kunj Parikh, Raymond Chau, Chung Ho Huang, Henry Chan, and Hyeran Jeon

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An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images, Tanjida Kabir, Chun Teh Lee, Jiman Nelson, Sally Sheng, Hsiu Wan Meng, Luyao Chen, Muhammad F. Walji, Xioaqian Jiang, and Shayan Shams

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Data-driven blended equations of state for condensed-phase explosives, Kibaek Lee, Alberto M. Hernández, D. Scott Stewart, and Seungjoon Lee

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Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Jinwei Ye, Limeng Pu, Shih Yu Chang, Yiyan Wu, and Kun Yan

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Wildfire Risk Prediction and Detection using Machine Learning in San Diego, California, Ashima Malik, Nasrajan Jalin, Shalu Rani, Priyanka Singhal, Supriya Jain, and Jerry Gao

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Novel Optimal Multisensor Placement for Indoor Rectilinear Line-of-Sight Coverage, Prasanga Neupane, Guannan Liu, Hsiao Chun Wu, Shih Yu Chang, and Jinwei Ye

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Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting, Prasanga Neupane, Guannan Liu, Hsiao Chun Wu, Weidong Xiang, Shih Yu Chang, and Yiyan Wu

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Novel Cascade Classifier Using Multiresolution Progressive Learning for Device-Free Indoor Localization, Prasanga Neupane, Hsiao Chun Wu, Guannan Liu, Weidong Xiang, Jinwei Ye, and Shih Yu Chang

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Should the US Constitution Be Amended to Limit Borrowing From the Future?, Vishnu Pendyala

Software Development in Large Organizations, Vishnu S. Pendyala

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Robust Metabolic Syndrome Risk Index Based on Triangular Areal Similarity, Hyunseok Shin, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh

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Camera-Based Security Check for Face Mask Detection using Deep Learning, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, and Jerry Gao

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Crop Identification Based on Remote Sensing Data using Machine Learning Approaches for Fresno County, California, Sunanda Das Suchi, Aparna Menon, Ashima Malik, Jie Hu, and Jerry Gao

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Efficient Recoverable Cryptographic Mosaic Technique by Permutations, Elaine Y.N. Sun, Hsiao Chun Wu, Costas Busch, Scott C.H. Huang, Yen Cheng Kuan, and Shih Yu Chang

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Research on the Maximization of Influence in Social Network Information Dissemination under Topic Preference, Guoyan Xu, Tianyi Zhuang, Qirui Zhang, Jerry Zeyu Gao, and Jing Huang

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Reversible Data Hiding Based on Histogram Shifting with Sorted Pairs of Points, Hongze Zhao, Ping Ping, Deyin Fu, Jie Hao, and Zeyu Gao

Submissions from 2020

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Packetless data transmission through pattern exclusive coding, Shih Yu Chang and Hsiao Chun Wu

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PDC Intelligent control-based theory for structure system dynamics, Tim Chen, Megan Lohnash, Emmanuel Owens, and C. Y.J. Chen

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On Physical-Layer Authentication via Triple Pool Convolutional Neural Network, Yi Chen, Shahriar Real, Hong Wen, Boyang Cheng, Wei Wang, Pin Han Ho, and Shih Yu Chang

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Elastic Net to Forecast COVID-19 Cases, Tim K. Johnsen and Jerry Z. Gao

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Evolution of Integration, Build, Test, and Release Engineering Into DevOps and to DevSecOps, Vishnu Pendyala

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The Pandemic of Falsity on Online Social Networks and Plausible Cures from Machine Learning, Vishnu Pendyala

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Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, Vishnu Pendyala

Relating Machine Learning to the Real World Learning: Analogies to enhance student comprehension, Vishnu S. Pendyala

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Securing Trust in Online Social Networks, Vishnu S. Pendyala

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Changes in vegetation phenology and productivity in Alaska over the past two decades, Christopher Potter and Olivia Alexander

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DeeperCoder: Code Generation Using Machine Learning, Simon Shim, Pradnyesh Patil, Rajiv Ramesh Yadav, Anurag Shinde, and Venkatesh Devale