Results 121 to 130 of about 391,221 (333)
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
Reappearing primary user detection in FBMC/OQAM cognitive radios [PDF]
Tero Ihalainen +3 more
openalex +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Correction to: A Compact Reconfigurable Antenna for UWB and Cognitive Radio Applications [PDF]
Deeplaxmi V. Niture, S. P. Mahajan
openalex +1 more source
Embedded Direct‐Written Organic Micro‐TEGs for High‐Efficiency Skin‐Heat Harvesting
A finite‐element–guided design of direct‐written organic micro‐thermoelectric generators is presented for efficient skin‐heat harvesting. Embedding PEDOT:PSS/PBFDO thermoelectric legs within flexible substrates suppresses interfacial heat losses and enhances vertical heat flow.
Milad Jabri +4 more
wiley +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill
ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai +7 more
wiley +1 more source
Genetic algorithm‐based scheduling in cognitive radio networks under interference temperature constraints [PDF]
Didem Gözüpek, Fatih Alagöz
openalex +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Survey on Cognitive Radio Green Network with Cross-Layer Technology
Applications of the cognitive radio technology based on cross-layer in green networks with the aim of saving energy were explored. A variety of key technologies on cognitive radio based on cross-layer protocol in green network were collected and ...
Jiao Wang, Junhui Zhao, Jiajiao Du
doaj +2 more sources

