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 ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...
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 ...