News

Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
C&EN16d
A Novel Machine Learning Based Cluster-Then-Forecast Framework for Sensor Placement Optimization and Real-Time Water Level Prediction in Low Impact Development (LID) Stormwater ...
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Case Western Reserve University, 2104 Adelbert Road, Bingham 279, Cleveland, Ohio 44106-7201, United States ...
GitHub26d
unsupervised-learning-algorithms
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
IEEE27d
Health-Aware Joint Learning of Scale Distribution and Compact Representation for Unsupervised Anomaly Detection in Photovoltaic Systems
To address these limitations, an unsupervised joint learning-based health-aware model is proposed, termed improved scale learning anomaly detection (ISLAD). The scale learning mechanism provides ...
IEEE27d
Unsupervised data clustering and image segmentation using natural computing techniques
This paper presents concepts and experimental results of approaches to data clustering and image segmentation using NC approaches. The main focus are on evolutionary computing, which is based on the ...