Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Abstract: In recent years, real-valued neural networks have made significant progress in computer vision tasks such as image classification, object detection, and semantic segmentation. However, ...

President Donald Trump has tapped "The Five" co-host Judge Jeanine Pirro to be the interim U.S. Attorney for Washington, D.C. "I am pleased to announce that Judge Jeanine Pirro will be appointed ...

Advances in deep learning methods have demonstrated remarkable progress in wheelset fault diagnosis. However, current deep neural networks suffer from design flaws, including low accuracy, high ...

ABSTRACT: An ancient fossil fuel, oil is a crucial energy source for various daily activities, such as electricity generation and vehicle operation. However, its ship transportation poses a ...

ABSTRACT: Early detection is important for cancer control, improving patient survival and reducing unnecessary treatment. Methods for early detection of cancer include screening programs, risk ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...