IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...
GitHub

01_factor_modeling_pca_eigenportfolios

This project implements a comprehensive factor modeling framework that combines Principal Component Analysis (PCA) with classical equity factors to decompose cross-sectional return patterns, estimate ...
IEEE

Integration of IoT and Machine Learning for Monitoring Rubber Latex Stirrer Motor Systems Using PCA and K-Means Techniques

Abstract: In rubber latex stirrer production systems, monitoring and analyzing multiple variables such as electric current and temperature from three-phase industrial motors is essential for detecting ...
GitHub

end-to-end-ml-project

AI-powered medical imaging system for multi-disease chest X-ray detection,built with EfficientNet deep learning, a FastAPI backend, and an interactive Streamlit dashboard. Deployed on Render for ...
Interesting Engineering

New ‘super-brain’ learns laws of nature to fast-track optical component design

Researchers at Chalmers University of Technology have developed a machine learning system that learns the laws of physics before training, allowing it to design advanced optical materials up to ten ...