Results 131 to 140 of about 25,855 (301)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Spectrum monitor for cognitive radio
The concept of a cognitive radio assumes that the receiver is able to determine the activity level across a large range of spectrum in order to assign a channel for its use.
Liang, Siwen
core
New Construction of Asynchronous Channel Hopping Sequences in Cognitive Radio Networks. [PDF]
Wang Y, Niu X, Qi C, He Z, Zeng B.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Algorithm Design and Convergence Analysis for Coexistence of Cognitive Radio Networks in Unlicensed Spectrum. [PDF]
Zhang Y, Wu W, He W, Zhao N.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Signal Alignment in Cognitive Radio Networks
Cognitive radio (CR) is a promising technique to overcome spectrum scarcity in wireless networks through dynamic spectrum access and coordinated transmissions between different users based on channel conditions. Sharing wireless spectrum at the same time
Attaran, Mahdi
core
Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks. [PDF]
Vaduganathan L +3 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Bootstrapping the Spectrum in Ultra Wide-Band Cognitive Radio Networks
The ultra wide-band cognitive radio networks, in recent years, have attracted the attention of the research due to their challenges concerning the signals detection over multiband. The aim of this paper is to address the ultra wide-band spectrum sensing,
ARIENZO, LOREDANA +2 more
core +1 more source

