Python
A Pragmatic Approach of Heart and Liver Disease Prediction using Machine Learning Classifiers
A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID
A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke
Adaptive Defense Zero-Day Attack Detection in NIDS with Deep Reinforcement Learning
Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.
Advanced Heart Attack Risk Prediction Using Stacked Hybrid Machine Learning
Advanced YOLO DeepSort Based System for Drainage Pipeline Defects Intelligent Detection
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
Advancing Ovarian Cancer Diagnosis Through Deep Learning and Explainable AI: A Multiclassification Approach
Agricultural Futures Trading Decision Using AI Agent with Multiscale Candlestick Analysis
The aim to build an AI system that helps traders make better decisions during unpredictable and high-volatility market periods. To automate chart reading and reduce human error by using AI to analyze patterns and market behavior. It create a smarter trading assistant that can learn from past results and provide more reliable buy/sell guidance.
