AI & Machine LearningComputing, Data & AI
A Comparative Study of Humans and AI on Nuanced Language Translation
AI & Machine Learningarticles within NHSJS
AI & Machine LearningComputing, Data & AI
Deciphering Cancer Heterogeneity with Single-Cell RNA Sequencing and Machine Learning for Therapeutic Opportunities
AI & Machine LearningComputing, Data & AI
An LLM-Based Interactive System for Early Mental Health Screening and Support Among Competitive Examination Students
AI & Machine LearningComputing, Data & AI
Multi-Source Machine Learning for Short-Term Chlorophyll-a Forecasting in Tampa Bay
AI & Machine LearningComputing, Data & AI
Super-Resolution of Sentinel‑2 Imagery for Accurate Forest Segmentation in Deforestation Detection
AI & Machine LearningComputing, Data & AI
Modeling Life Expectancy with Interpretable Machine Learning Approaches
AI & Machine LearningComputing, Data & AI
Detecting Fraud Insurance Claims Using Machine Learning
AI & Machine LearningComputing, Data & AI
Quality Comparison of Classical and Jazz Music Generation using LSTM and Transformer 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
