Neural Networks Meet Chaos: New Image Encryption Scheme Promises Speed and Security
Researchers in Iran have developed CNNHSIE, an image encryption algorithm that combines hyperchaotic systems with a VGG16 convolutional neural network ...
Researchers in Iran have developed CNNHSIE, an image encryption algorithm that combines hyperchaotic systems with a VGG16 convolutional neural network ...
A systematic review of 108 studies charts how machine learning transformed bioacoustics over two decades, finding that deep learning now ...
Researchers have developed an RBF neural network framework that combines physics-based trend monitoring with deep learning to detect, isolate, and ...
Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain ...
Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered ...
Researchers have combined convolutional neural networks and vision transformers with a three-loss training strategy to significantly improve content-based image retrieval ...
Researchers in India combined convolutional neural networks, a bird-inspired optimization algorithm, and graph neural networks to identify four promising asthma ...
Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...
Researchers at Harbin Institute of Technology have shown that sensors inside ordinary buildings, combined with building-specific hybrid deep learning models, ...
Researchers at Shahid Chamran University of Ahvaz have built a compact EfficientNet-inspired neural network that classifies music genres from spectrogram ...
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© 2025 Scienmag - Science Magazine