Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Multi-stage dual-domain progressive network enhances sparse-view CT reconstruction

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

AI-powered compressed imaging system developed for high-speed scenes

A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...
Frontiers

Grid fault diagnosis based on the deep pyramid convolutional neural network

Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China Traditional power grid fault diagnosis methods rely on manual experiences to handle massive amounts of ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
WealthManagement.com

BNY Pershing Launches Advisor Growth Network, New Wove Features

BNY Pershing has launched a financial advisor growth network intended to support breakaways in going independent. The Advisor Growth Network, or AGN, is one of the announcements coming out of BNY ...
IEEE

Reparameterized Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Image Classification

Abstract: With the advancement of deep learning techniques, transformer has been introduced into remote sensing scene classification (RSSC). Although transformer performs well in building long-range ...
IEEE

A Convolutional Recurrent Neural Network and Feature Pyramid Network based Tactile Sensing for Perceptual Intelligence Recognition System

Abstract: Nowadays, in the Artificial Intelligence (AI) community, developing an efficient artificial sensory system is important for efficient interaction between human-machine. The existing models ...