Dual-Stream AI Learns Where and When to Look in Wearable Sensor Data
Researchers at Durham University have developed a dual-stream neural network that applies parallel attention to sensor modalities and time steps, ...
Researchers at Durham University have developed a dual-stream neural network that applies parallel attention to sensor modalities and time steps, ...
Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...
Researchers in Turkey have built a multimodal Vision Transformer framework that converts Android app features into grayscale and QR code ...
Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention ...
Researchers have developed a lightweight deep learning framework that grades early sugarcane pokkah boeng disease severity on a smartphone with ...
Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...
Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and LBP descriptors to ...
Researchers in India have developed a multi-phase fusion architecture that identifies stable, consistent features across a writer's genuine signatures, achieving ...
Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI scans, achieving 88 percent ...
Researchers in Chongqing have developed a wavelet-guided deep learning framework that coordinates frequency-domain and spatial cues to sharply localize changes ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine