As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...
The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
Purdue University has once again earned national recognition for its longstanding commitment to partnering with communities by way of the 2026 Carnegie Community ...
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