Results 61 to 70 of about 438,323 (269)
Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
Advanced Materials Technologies, EarlyView.Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente +3 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang +4 more
wiley +1 more source
Adaptive and occupancy-based channel selection for unreliable cognitive radio networks [PDF]
, 2009 In this paper, we propose an adaptive and occupancy-based channel selection for unreliable cognitive radio ...
Fdida, Serge +3 more
core +2 more sources
On the Construction of Radio Environment Maps for Cognitive Radio Networks
, 2013 The Radio Environment Map (REM) provides an effective approach to Dynamic Spectrum Access (DSA) in Cognitive Radio Networks (CRNs). Previous results on REM construction show that there exists a tradeoff between the number of measurements (sensors) and ...
Feng, Zhiyong +4 more
core +1 more source
IEEE Access, 2018 Automated modulation classification plays a very important part in cognitive radio networks. Deep learning is also a powerful tool that we could not overlook its potential in addressing signal modulation recognition problem.
Bin Tang, Ya Tu, Zhaoyue Zhang, Yun Lin
semanticscholar +1 more source
Support Vector Machine-Based Classification of Malicious Users in Cognitive Radio Networks
Wireless Communications and Mobile Computing, 2020 Cognitive radio is an intelligent radio network that has advancement over traditional radio. The difference between the traditional radio and the cognitive radio is that all the unused frequency spectrum can be utilized to the best of available resources
Muhammad Sajjad Khan +5 more
semanticscholar +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Resource allocation in heterogeneous cognitive radio sensor networks
International Journal of Distributed Sensor Networks, 2019 Cognitive radio sensor networks offer a promising means of meeting rapidly expanding demand for wireless sensor network applications in new monitoring and objects tracking fields.
Mohammed Al-Medhwahi +4 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Security in cognitive radio networks
Tongxin xuebao, 2013 Cognitive radio can obtain and access spectrum white holes without interfering primary users by sensing wireless environment to meet with the more spectrum requirement of users and improve spectrum utilization.However,it also brings new secure challenges
Qing-qi PEI +4 more
doaj +2 more sources