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 ...

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 ...

A robust Machine Learning–based system designed to predict crime rates across 38 districts of Bihar, leveraging a high-performance Random Forest model (~90% accuracy) and deployed via a Flask web ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

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Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Project-based learning is widely recognized as an effective pedagogical approach in software engineering education, fostering real-world problem-solving, collaboration, and the integration of theory ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...