Results 221 to 230 of about 152,215 (282)
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Open questions in elucidating neural mechanisms underlying sensory-guided motor control. [PDF]
europepmc +1 more source
Extended dissipative truncated predictive control strategy for conic-type delayed networked control systems affected by cyber attacks and sensor distortion. [PDF]
Narenshakthi T, Dharani S.
europepmc +1 more source
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]
Raju LR +5 more
europepmc +1 more source
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu +9 more
wiley +1 more source
Efficient Inference in First Passage Time Models. [PDF]
Liu S, Fengler A, Frank MJ, Harrison MT.
europepmc +1 more source
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]
Chaudhari CN +6 more
europepmc +1 more source
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang +6 more
wiley +1 more source

