AI on a Phone: New Lightweight Model Grades Sugarcane Disease Severity in the Field
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 deep learning framework that grades early sugarcane pokkah boeng disease severity on a smartphone with ...
Researchers at Saudi Electronic University have developed XCardioPulmoNet, an explainable deep learning framework that classifies heart and lung sounds with ...
Researchers in China have developed a Sparrow search algorithm-optimized attention-LSTM neural network that predicts step error in five-axis finishing machining ...
A multi-agent reinforcement learning framework schedules tasks across a 2000-node big data cluster with 92.4 percent success and millisecond-scale latency, ...
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...
A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
A new multimodal AI framework fuses RGB images, segmentation masks, depth maps, and text prompts to estimate robotic gripper pressure ...
Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine