News

pv magazine International17d
Denoising outdoor electroluminescence images of PV panels through deep learning
A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images ...
Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
What happens when you feed AI nothing
Artist Terence Broad makes AI produce images without any training data at all.
IEEE26d
Automated Stopping Criterion for Sparse Near-Field Scanning With Active Machine Learning - IEEE Xplore
Abstract: Active learning (AL) has been demonstrated to accelerate near-field scanning (NFS) measurement by adaptively sampling the significant points to reconstruct the complete electromagnetic field ...
IEEE23d
Learning Nonconvex Tensor Representation With Generalized Reweighted Sparse Regularization for Hyperspectral Anomaly Detection
Tensor representation (TR) can sensitively perceive the inherent prior structure of hyperspectral images, showing broad prospects in hyperspectral anomaly detection (HAD). However, current models are ...
C&EN16d
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks
Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.
World Scientific1d
A Survey on Industrial Information Integration 2016–2019 | Journal of Industrial Integration and Management - World Scientific Publishing Co Pte Ltd
Ding, A and X Zhou [2016] Land-use classification with remote sensing image based on stacked autoencoder. In 2016 Int. Conf. Industrial Informatics-Computing Technology, Intelligent Technology, ...