Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
IEEE

Updating Machine Learning Models in Real-World Applications: Finding Best Deployment Settings

Abstract: Effective deployment and updating of machine learning models are crucial for maintaining operational efficiency in industrial environments. Model performance often degrades over time due to ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
GitHub

Machine learning based fraud detection system using Flask, Python, and Scikit-learn with OTP verification and case management.

FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...