Scientific Research Publishing

Zong, X., Yang, R., Wang, H., Du, M., You, P., Wang, S., et al. (2022) Semi-Supervised Transfer Learning Method for Bearing Fault Diagnosis with Imbalanced Data. Machines, 10 ...

ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

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 ...
GitHub

structured-output-chatbot

Build a Production-Ready RAG system for intelligent Q&A over PDFs (policies, contracts, resumes). Powered by OpenAI Structured Outputs, Pydantic for schema enforcement, ChromaDB for local vector ...
IEEE

Fine-grained Object Recognition Algorithm Based on Self-Supervised Representation Learning of Multi-View Infrared Images

Abstract: Utilizing multi-view infrared images to collaboratively identify the types of surface ship targets is a feasible approach in practice. This paper proposes a fine-grained object recognition ...
IEEE

Supervised Learning Algorithm: Enhancing Reflective Writing Skills within the Context of the International Project ‘Out of Eden Walk’ and the Principles of ‘Slow ...

Abstract: In this study, we aimed to address issues related to students' slow writing skills by incorporating the “Out of Eden Walk” project using an AI model. Employing a project-based learning ...