Abstract In today’s fast-paced digital commerce ecosystem, delivering real-time, personalized product recommendations is crucial for improving user engagement and boosting conversions. Traditional recommender systems, while useful, often fail to keep up withRead More…
Web-Based Blood Bank The choice of technology stack is central to the enhancement of efficient and strong blood bank webapplication.This Blood Bank web application uses Mern Stack, MongoDB, Express.js, React.js, and node.js.Read More…
Tracking Concept Evolution : A Graph LITERATURE SURVEYConcept drift refers to the phenomenon where the statistical properties of data change over time, affectingthe performance of machine learning models. Traditional concept drift detectionRead More…
Immersive Multimedia Intelligence AI Immersive Multimedia Intelligence AI The goal of immersive multimedia is no longer just to display content—it is to engage, interpret,and respond to user interactions in real-time. Technologies suchRead More…
ML-POWERED UPI FRAUD ML-POWERED UPI FRAUD XGBoost (Extreme Gradient Boosting) is chosen for its efficiency, scalability, and ability tohandle large datasets while preventing overfitting. The model is designed to analyzetransactional patterns, detectRead More…
CARDIAC ARRYTHMIA DETECTION USING AI/ML CARDIAC ARRYTHMIA DETECTION USING AI/ML Historically, the detection of arrhythmia relied on human clinicians interpretingelectrocardiograms (ECGs) themselves. Though effective, this practice is labor-intensive,susceptible to inter-observer variation, andRead More…
Smart Environmental Sensing: Outdoor Smart Environmental Sensing: Outdoor Extensive field testing was conducted across multiple urban zones with varying pollution profiles tovalidate the system’s effectiveness. The IoT sensors demonstrated high sensitivity andRead More…
Next-Gen Outdoor Air Pollution Next-Gen Outdoor Air Pollution To overcome these obstacles, integrating IoT sensor networks with advanced data processingtechniques, particularly deep learning, has emerged as a cutting-edge approach. Deep learningmodels haveRead More…
