Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Improving air temperature forecasts one to five weeks in advance without new model simulations

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...
IEEE

Machine Learning Models Tailored to Resource-Constrained Environments, with a Focus on Data Preprocessing Techniques

Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
IEEE

Temporal Preprocessing and Ensemble Learning for Real-Time Fault Detection in Chemical Process Systems: A Data-Driven Approach on Tennessee Eastman Benchmark

Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...