Results 141 to 150 of about 391,221 (333)
Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
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
A Cognitive Radio Technology for Retransmission in Cellular-Based Emergency Alert Broadcast Systems
Mihwa Song, Sekchin Chang
openalex +2 more sources
CHALLENGES FOR EVOLVING COUNTERMEASURES AGAINST SECURITY THREATS IN COGNITIVE RADIO NETWORKS
Srishti Priya Chaturvedi, T. L. Singal
openalex +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Correction: Green communication for cognitive radio networks based on game and utility-pricing theories. [PDF]
Mukhlif F +3 more
europepmc +1 more source
Spectrum trading in OFDMA-based cognitive radio systems
Bin Da, Rui Zhang, Chi Chung Ko
openalex +2 more sources
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
UAV aided virtual cooperative spectrum sensing for cognitive radio networks. [PDF]
Gul N, Kim SM, Ali J, Kim J.
europepmc +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

