Results 41 to 50 of about 305,481 (299)

Cognitive Radio Network Technology for IoT-Enabled Devices

open access: yesEngineering Proceedings, 2023
The exponential development of wireless applications has increased problems in the spectrum. The unlicensed frequency spectrum is becoming highly saturated, in order to support the conditions of new radio devices with increasing data rates.
Omer Al-Dulaimi   +3 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

open access: yesAdvanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani   +10 more
wiley   +1 more source

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

open access: yesSensors, 2013
A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly.
Gyanendra Prasad Joshi   +2 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Radio cognitive : stato dell'arte [PDF]

open access: yes, 2022
Nel 2009 si è celebrato il centenario dall’assegnazione del premio Nobel per la fisica a Guglielmo Marconi, come riconoscimento del suo contributo allo sviluppo della telegrafia senza fili, e sono passati poco più di centodieci anni dai suo primi ...
Vianello, Leonardo
core  

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

open access: yesAdvanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee   +23 more
wiley   +1 more source

Throughput-Oriented Full-Duplex Cognitive Radio Network Parameter Optimization

open access: yesInternational Journal of Antennas and Propagation, 2022
Full-duplex cooperative spectrum sensing (FD-CSS) is an important research field in the field of spectrum sensing. In the FD-CSS network, the secondary user (SU) senses the usage status of the authorized spectrum by the primary user (PU) through the ...
Haibin Jiang   +3 more
doaj   +1 more source

Cognitive Radio and Coexistence for Multicasting Communication Systems [PDF]

open access: yes, 2010
This thesis focuses on the performance of terrestrial communication systems that use channel assignment schemes to allocate base stations in a scenario that implements the coexistence of mixed terrestrial communication systems based on cognitive radio ...
Yang, Mengfei
core  

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced 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

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