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Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage. [PDF]
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Optimizing resource allocation for IoT applications in the edge cloud continuum using hybrid metaheuristic algorithms. [PDF]
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Learning from Octopuses: Cutting-Edge Developments and Future Directions. [PDF]
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Magnetic-Driven Viscous Mechanisms in Ultra-Soft Magnetorheological Elastomers Offer History-Dependent Actuation with Reprogrammability Options. [PDF]
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Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
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Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments. [PDF]
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