AI & Machine LearningComputing, Data & AI
AI & Machine Learning
AI & Machine LearningComputing, Data & AI
Evaluating Fairness Regularization in Convolutional Neural Networks for Demographic Bias Reduction in Facial Image Classification
AI & Machine LearningComputing, Data & AI
Assessing the Feasibility of Predicting the Post-IPO Volatility Using Deep Learning and LLM: A Case Study in the American Stock Market Under Conditions of Declining M2
AI & Machine LearningComputing, Data & AI
PRISM: Profiles of AI Use, Creativity, and Authorship in High School Writing
AI & Machine LearningComputing, Data & AI
Analyzing Acoustic Features for Speech Emotion Classification: A Comparative Study on the RAVDESS Male Corpus
AI & Machine LearningComputing, Data & AI
FFT and Embedding-Constrained EEG Architectures for Minimal-Channel Semantic Decoding
AI & Machine LearningComputing, Data & AI
Limited Target Data Calibration Improves Cross-Dataset Transfer for Parkinson’s Disease Detection from Speech
AI & Machine LearningComputing, Data & AI
Predicting ACL Injuries in Basketball Players via Machine Learning and Movement Imagery
AI & Machine LearningComputing, Data & AI
Evaluating Machine Learning Approaches for EEG-Based Emotion Recognition: Establishing Rigorous Baselines with Statistical Validation
AI & Machine LearningComputing, Data & AI
Exploring The Weightage of Correlates of Diabetes Using Machine Learning
AI & Machine LearningComputing, Data & AI
Public Acceptance of Autonomous Surgical AI: A Demographic Analysis
AI & Machine LearningComputing, Data & AI
Quantifying Decision Support in Retail Equity Analysis: A Microservices Prototype Integrating Machine Learning and Sentiment Heuristics
AI & Machine LearningComputing, Data & AI
Deep Neural Network-Based Detection of Heart Disease using Structured Clinical Data
AI & Machine LearningComputing, Data & AI
Using Lifestyle Markers and Machine Learning to Detect Diabetes
AI & Machine LearningComputing, Data & AI














