Submissions from 2024
New efficient optimal FIR equalizer design, Shih Yu Chang and Hsiao Chun Wu
Tensor MIMO Perfect-Equalizer Design Using New Projection-Based Method and Approximation-Error Analysis, Shih Yu Chang, Hsiao Chun Wu, and Yi Chih Kao
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency, Megha Gupta, Shripal Shah, Mohammad Masum, and Sai Chandra Kosaraju
KritiSamhita: A machine learning dataset of South Indian classical music audio clips with tonic classification, Samhita Konduri, Kriti V. Pendyala, and Vishnu S. Pendyala
Investigating Large-Scale RIS-Assisted Wireless Communications Using GNN, Shuai Lyu, Limei Peng, and Shih Yu Chang
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI, Vishnu Pendyala and Hyungkyun Kim
Harnessing Artificial Intelligence for an Affordable Quality of Life, Vishnu S. Pendyala
How Bay Area cities can leverage the power of AI to build safer, more secure communities, Vishnu S. Pendyala
Why Scientific Publishing Culture Needs a Major Overhaul in the age of Generative AI, Vishnu S. Pendyala
Will AI be another unsustainable environmental disaster?, Vishnu S. Pendyala
Explaining Misinformation Detection Using Large Language Models, Vishnu S. Pendyala and Christopher E. Hall
Analysis of Multilanguage Regional Music Tracks Using Representation Learning Techniques in Lower Dimensions, Vishnu S. Pendyala, Samhita Konduri, and Kriti V. Pendyala
Multi-Link Prediction for mmWave Wireless Communication Systems Using Liquid Time-Constant Networks, Long Short- Term Memory, and Interpretation Using Symbolic Regression, Vishnu S. Pendyala and Milind Patil
Submissions from 2023
Distributed IoT Community Detection via Gromov-Wasserstein Metric, Shih Yu Chang, Yi Chen, Yi Chih Kao, and Hsiao Hwa Chen
Multi-Relational Data Characterization by Tensors: Perturbation Analysis, Shih Yu Chang and Hsiao Chun Wu
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
Tensor Extended Kalman Filter and its Application to Traffic Prediction, Shih Yu Chang, Hsiao Chun Wu, and Yi Chih Kao
Tensor Levenberg-Marquardt Algorithm for Multi-Relational Traffic Prediction, Shih Yu Chang, Hsiao Chun Wu, Yen Cheng Kuan, and Yiyan Wu
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
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
Novel Personalized Multimedia Recommendation Systems Using Tensor Singular-Value-Decomposition, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Xinjia Chen, and Yiyan Wu
Automatic Modulation Classification of Frequency-Hopping Signals Using High-Dimensional Phase Diagrams, Qibo Chen, Kun Yan, Hsiao Chun Wu, Shih Yu Chang, Xiao Yan, Yiyan Wu, and Haonan Chang
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework, Yan Chu, Kaichen Tang, Yu Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, and Shayan Shams
IEEE Day Panel Discussion on Ethical AI: Shaping the Future Responsibly, Meenakshi Jindal, Chinmay Nerurkar, Katharina Koerner, Kumaravel Appavoo, and Vishnu S. Pendyala
Physics-informed Machine Learning Models for Go/No-go Criteria on Reactive Metamaterials, Seungjoon Lee, Kibaek Lee, Alberto Hernández, and D. Scott Stewart
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data, Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, and Ioannis G. Kevrekidis
Artificial intelligence can take the politics out of policymaking, Vishnu S. Pendyala
Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved, Vishnu S. Pendyala
The Rapid Pace of Innovation Calls for a Drastic Revamp of the National Science Foundation, Vishnu S. Pendyala
Toward an AI-Driven Democracy. Newsweek, Apple News+, Microsoft Network, Qoshe, and others, Vishnu S. Pendyala
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
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and HyungKyun Kim
Spectral analysis perspective of why misinformation containment is still an unsolved problem, Vishnu S. Pendyala and Foroozan Sadat Akhavan Tabatabaii
Reconnoitering Generative Deep Learning Through Image Generation From Text, Vishnu S. Pendyala and VigneshKumar Thangarajan
On Collaborative Multi-UAV Trajectory Planning for Data Collection, Shahnila Rahim, Limei Peng, Shihyu Chang, and Pin Han Ho
Intelligent Computing and Communication | Proceedings of 6th ICICC 2022, M. Seetha, Sateesh K. Peddoju, Vishnu Pendyala, and Vedula V. S. S. S. Chakravarthy
Predictive Auto-scaler for Kubernetes Cloud, Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, and Ji Yong Park
Machine learning-based predictive model for prevention of metabolic syndrome, Hyunseok Shin, Simon Shim, and Sejong Oh
A two-step approach to detect and understand dismisinformation events occurring in social media: A case study with critical times, Seungwon Yang, Haeyong Chung, Dipak Singh, and Shayan Shams
aBnormal motION capture In aCute Stroke (BIONICS): A Low-Cost Tele-Evaluation Tool for Automated Assessment of Upper Extremity Function in Stroke Patients, Syed A. Zamin, Kaichen Tang, Emily A. Stevens, Melissa Howard, Dorothea M. Parker, Allyson Seals, Xiaoqian Jiang, Sean Savitz, and Shayan Shams
Predicting multiple sclerosis severity with multimodal deep neural networks, Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, and Shayan Shams
Submissions from 2022
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
Convenient Tail Bounds for Sums of Random Tensors, Shih Yu Chang and Wen Wei Lin
Tensor Manifold with Tucker Rank Constraints, Shih Yu Chang, Ziyan Luo, and Liqun Qi
General tail bounds for random tensors summation: Majorization approach, Shih Yu Chang and Yimin Wei
T-product tensors—part II: tail bounds for sums of random T-product tensors, Shih Yu Chang and Yimin Wei
T-square tensors—Part I: inequalities, Shih Yu Chang and Yimin Wei
Divide-and-Iterate Approach to Big Data Systems, Shih Yu Chang and Hsiao Chun Wu
General Tensor Least-Mean-Squares Filter for Multi-Channel Multi-Relational Signals, Shih Yu Chang and Hsiao Chun Wu
Multi-Relational Data Characterization by Tensors: Tensor Inversion, Shih Yu Chang and Hsiao Chun Wu
Tensor Kalman Filter and Its Applications, Shih Yu Chang and Hsiao Chun Wu
Tensor Quantization: High-Dimensional Data Compression, Shih Yu Chang and Hsiao Chun Wu
Tensor Wiener Filter, Shih Yu Chang and Hsiao Chun Wu
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
New Efficient Approach to Solve Big Data Systems Using Parallel Gauss–Seidel Algorithms, Shih Yu Chang, Hsiao Chun Wu, and Yifan Wang
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
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
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
On Physical-Layer Authentication via Online Transfer Learning, Yi Chen, Pin Han Ho, Hong Wen, Shih Yu Chang, and Shahriar Real
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
OCI Runtime Comparison and Analysis Study, Sung Hwan Jeon, Simon Shim, Haejin Chung, and Yunmook Nah
A Preliminary Result of Food Object Detection using Swin Transformer, Daeil Jung, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh
A comprehensive artificial intelligence framework for dental diagnosis and charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, and Shayan Shams
Secure human action recognition by encrypted neural network inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, and Shayan Shams
Prediction of Formation Conditions of Gas Hydrates Using Machine Learning and Genetic Programming, Anupama Kumari, Mukund Madhaw, and Vishnu S. Pendyala
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
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
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
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
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
Multivariate-aided Power-consumption Prediction Based on LSTM-Kalman Filter, Shuai Lyu, Haoran Mei, Limei Peng, Shih Yu Chang, and Jiang Mo
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
A multitask deep learning approach for pulmonary embolism detection and identification, Xiaotian Ma, Emma C. Ferguson, Xiaoqian Jiang, Sean I. Savitz, and Shayan Shams
Energy-Efficient Segment Clustering Algorithm for UAV trajectory, Haoran Mei, Limei Peng, Shih Yu Chang, Yin Zhang, and Pin Han Ho
Enhancing the Cognition and Efficacy of Machine Learning Through Similarity, Vishnu Pendyala and Rakesh Amireddy
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
It is time to leave ‘caste’ behind, Vishnu S. Pendyala
Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala
Relating Machine Learning to the Real-World: Analogies to Enhance Learning Comprehension, Vishnu S. Pendyala
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
An Overview of Carbon Footprint Mitigation Strategies. Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala and Saritha Podali
Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, and Lokesh Vadlamudi
A reinforcement learning-based path planning for collaborative UAVs, Shahnila Rahim, Mian Muaz Razaq, Shih Yu Chang, and Limei Peng
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
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
Deep Learning for Conversions Between Melodic Frameworks of Indian Classical Music, Rohan Surana, Aakash Varshney, and Vishnu S. Pendyala
Submissions from 2021
Intelligent Approaches for Fault-Tolerance in Radio Communication of Autonomous Vehicles, Yazid Benazzouz, Oum El Kheir Aktouf, Rachid Boudour, and Jerry Gao
Multi-Relational Data Characterization by Tensors: Perturbation Analysis, Shih Yu Chang and Hsiao Chun Wu
Tensor recursive least squares filters for multichannel interrelational signals, Shih Yu Chang and Hsiao Chun Wu
New algebraic studies of pattern attributes in maximum-length shift-register sequences, Shih Yu Chang, Hsiao Chun Wu, and Scott C.H. Huang
New Study of DTV Transmitter-Identification Sequence Capacity, Shih Yu Chang, Hsiao Chun Wu, and Yiyan Wu
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
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
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
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
Model-Based Test Modeling and Automation Tool for Intelligent Mobile Apps, Jerry Gao, Pankaj Hanmant Patil, Shengqiang Lu, Dongyu Cao, and Chuanai Tao
Two-Stage Sequence Model for Maximum Throughput in Cluster Tools, Taehee Jeong, Kunj Parikh, Raymond Chau, Chung Ho Huang, Henry Chan, and Hyeran Jeon
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
