DeepForest AI unlocks hidden forest layers

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
IEEE

AbotalebNet: A Novel Deep Learning Architecture for Time Series Forecasting with Convolutional and LSTM Layers Enhanced by Multi-Head Attention

Abstract: This paper introduces AbotalebNet, a novel deep learning architecture optimized for time series forecasting, with a particular focus on the complexities of COVID-19 data. AbotalebNet’s ...
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
EurekAlert!

Single device enables complex information processing: Memristive oscillators break computational bottlenecks at the edge of chaos

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Drones with standard cameras reveal hidden forest layers using AI technology

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions

Abstract: To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data ...