AI Model Spots Hidden Faults in Giant Hydro Turbines Before They Strike
Researchers have developed a CNN-LSTM deep learning framework that compresses 52 sensor streams from a large hydro-turbine unit into six ...
Researchers have developed a CNN-LSTM deep learning framework that compresses 52 sensor streams from a large hydro-turbine unit into six ...
Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict ...
Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...
Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...
Researchers in India have combined a Siberia Tiger Optimisation and a Polar Fox Optimization to tune an LSTM network that ...
Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...
Researchers developed a lightweight CNN-LSTM model that detects deepfake videos with high accuracy on standard hardware.
Researchers in India have developed a graph neural network framework called TADGLN-LSTM that quantifies how individual scientists' research topics drift ...
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
Deep learning models have reconstructed 70 years of temperature and precipitation across Italy on a 10 km grid, revealing persistent ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine