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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection
Published 2025-07-01“…Feature Extraction (FE) is done through CAT-Swarm Optimization. Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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EEG microstate analysis in children with prolonged disorders of consciousness
Published 2025-07-01“…Support vector machine (SVM) models were trained using combined temporal and spatial microstate features, optimized via grid search and random search algorithms. Model performance was evaluated using standard metrics, and features were ranked by permutation importance. …”
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Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects
Published 2025-04-01“…Finally, it discusses future key research directions: centering on multi-agent collaborative combat for UAV swarms, focusing on the evaluation and construction of air combat scenarios in real battlefield environments, and developing comprehensive intelligent decision-making systems based on diverse decision-making methods. …”
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725
Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network
Published 2025-01-01“…However, this key exchange algorithm does not address the issue of a man-in-the-middle attack. …”
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726
A Mixed Integer Programming Approach to the Rechargeable Rover Routing Problem on Mars
Published 2025-09-01“…However, for future missions involving swarms of rovers, the development of more efficient heuristic or approximation algorithms will be necessary.…”
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