AI and ML Applied to QA Automation
Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
Improved Blood Glucose Control using Machine Learning Algorithms
Deep Learning-Based Bharatanatyam Mudra Recognition Using LSTM and GRU Architectures
Intellifusion Adaptive Decision Engine (IADE): A Hybrid AI Framework for Stock Market Forecasting
Artificial Intelligent Based Predictive Tool for Diabetes Prevention Management
A Smart Alumni Connect: Empowering University Networks with ML Driven Mentorship and Collaboration
Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
Advancing Autism Spectrum Disorder Diagnosis through Ensemble Learning
Enhancing Chronic Kidney Disease Prediction Performance through Algorithm Fusion: A Combined KNN - SVM Approach
A Comparative Exploration of Activation Functions for Image Classification in Convolutional Neural Networks
Machine Learning Solutions for the Healthcare Industry: A Review