AI & Machine LearningComputing, Data & AI
Quality Comparison of Classical and Jazz Music Generation using LSTM and Transformer Models
Computing, Data & AIarticles within NHSJS
Computer ScienceComputing, Data & AI
Predicting IC Congestion with Computer Vision Models
AI & Machine LearningComputing, Data & AI
A Novel Audio-Video Multimodal Deep Learning Model For Improved Deepfake Detection To Combat Disinformation
AI & Machine LearningComputing, Data & AI
Practical Recommendations For Machine Learning-Based Tabular Regression Concerning Car Price Prediction
AI & Machine LearningComputing, Data & AI
Classifying Migraine Subtypes Using Machine Learning: A Study of Data Bias
AI & Machine LearningComputing, Data & AI
Evaluation of a Conversational, Inquiry-Based Generative AI Tutor’s Effectiveness on Student Engagement and Performance
AI & Machine LearningComputing, Data & AI
From static to adaptive: a performance and representational analysis of competitive MARL training paradigms
AI & Machine LearningComputing, Data & AI
LINDA: Linear and Nonlinear Feature Dimensionality Analysis for Data-Enabled Learning Based Breast Cancer Diagnosis
AI & Machine LearningComputing, Data & AI
Assessing the Possibility and Feasibility of Predicting Major US Financial Bubbles Using Deep Learning, LLM, and DL-LLM Architectures Analyzing Macro-Financial Data
AI & Machine LearningComputing, Data & AI
Effectiveness of Machine Learning in Carbon Capture and Storage Site Selection
AI & Machine LearningComputing, Data & AI
RAG for AI-Powered Career Guidance in High Schools: A Pilot Study
AI & Machine LearningComputing, Data & AI
A Modern Approach to Uplift Marketing: Using Artificial Intelligence to Maximize Marketing Efficiency
AI & Machine LearningComputing, Data & AI
A Machine Learning Framework for Predicting NFL Injuries Based on Preceding-Play Patterns
AI & Machine LearningComputing, Data & AI
Understanding Misinformation Dynamics: A Machine Learning Analysis for sharing and Belief
AI & Machine LearningComputing, Data & AI
Predictive Modeling of Oxygen Saturation Levels in COPD Patients Through Machine Learning
