The Confucius cyber-espionage group has shifted its tactics from document-focused stealers to Python-based backdoors like ...
A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...
Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...
Abstract: This study investigates the application of hyper- spectral imaging combined with an optimized Backpropagation Neural Network (BPNN) for evaluating black tea fermentation quality. Spectral ...
Abstract: Image dehazing is a typical task in the low-level vision field. Previous studies verified the effectiveness of the large convolutional kernel and attention mechanism in dehazing. However, ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback