AI & Machine LearningComputing, Data & AI
A Cost Sensitivity Framework for Machine Learning Model Selection in Semiconductor Defect Detection
Computing, Data & AI
Computing, Data & AIData Science
Overcoming Small Sample Barriers in Assistive Technology Acceptance Research: A Two-Phase Approach Using Correlation-Preserved Synthetic Data Generation to Test the Technology Acceptance Model
Computing, Data & AIData Science
Injury Location Prediction in Professional Athletes: A Demographic and Positional Analysis
AI & Machine LearningComputing, Data & AI
Comparative Analysis of Machine Learning Methods for Crop Yield Prediction
AI & Machine LearningComputing, Data & AIData Science
Impact of Student Lifestyle on Academic Performance: A Regression-Based Machine Learning Study
AI & Machine LearningComputing, Data & AIData Science
Bank Loan Default Analysis Via Supervised Learning
AI & Machine LearningComputing, Data & AI
An LLM-Based Interactive System for Early Mental Health Screening and Support Among Competitive Examination Students
Computer ScienceComputing, Data & AI
Reducing Latency In Low-Density User Environments With A Hybrid LiFi-WiFi Model: A Simulation-Based Hardware Validation
AI & Machine LearningComputer ScienceComputing, Data & AI
Robotic Waste Sorting System Using Machine Learning Classification Techniques
Computer ScienceComputing, Data & AI
Sentiment Analysis of IMDb Reviews Using DistilBERT and a Custom Feedforward Network
AI & Machine LearningComputing, Data & AI
Multi-Source Machine Learning for Short-Term Chlorophyll-a Forecasting in Tampa Bay
AI & Machine LearningComputing, Data & AI
AI-Assisted Design of Antimicrobial Peptides Targeting Klebsiella pneumoniae
Computer ScienceComputing, Data & AI
Develop an App to Efficiently Create Peddimat Programs with C#.NET for Peddinghaus Machines
AI & Machine LearningComputer ScienceComputing, Data & AI
Genetic Neural Network Architecture Optimization: A Hybrid Evolutionary and Bayesian Approach
AI & Machine LearningComputing, Data & AI
Predicting Next-Day Stock Opening Prices from a Three-Day Feature Window: A Comparative Evaluation of Linear Regression, Decision Trees, Random Forests, Neural Networks, and K-Nearest Neighbors
