Results 211 to 220 of about 5,801,298 (268)
Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring. [PDF]
Khan UH +5 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
A Post-Quantum Sensor-to-Blockchain Transaction Framework with CRQC-Aware Exposure Minimization for Next-Generation Sensor Networks. [PDF]
Sezer BB.
europepmc +1 more source
Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler +2 more
wiley +1 more source
Entanglement Swapping Enables the Practical Security of Quantum Cryptography. [PDF]
Jiang YF +11 more
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
DEF-CRYPT-Q: a quantum-enhanced hybrid encryption framework for privacy-preserving distributed defense communications. [PDF]
Anithadevi N +2 more
europepmc +1 more source
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source

