A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
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 ...
Abstract: This research examines anomaly detection in cybersecurity by utilizing various machine learning classifiers, including Naive Bayes, Artificial Neural Network (ANN), Support Vector Machine ...
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 ...
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 ...
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 ...
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