Results 241 to 250 of about 977,116 (306)

Performance of the Novel Reactive Access-Barring Scheme for NB-IoT Systems Based on the Machine Learning Inference. [PDF]

Sensors (Basel)
Daraseliya A, Sopin E, Kolcheva J, Begishev V, Samouylov K.   +4 more
europepmc   +1 more source

Microneedle Technology in Psoriasis Management: Mechanistic Insights, Technological Innovation, Clinical Progress, and Challenges

Advanced Healthcare Materials, EarlyView.
This review explores the evolving role of microneedle systems in psoriasis management, highlighting their potential for enhanced drug delivery, diagnosis, and disease monitoring. It also discusses unmet clinical needs for psoriasis management and technical challenges, while outlining strategic directions to advance microneedle integration into routine ...
Fatma Moawad, Yasmine Ruel, Roxane Pouliot, Davide Brambilla   +3 more
wiley   +1 more source

Machine Learning and Abdominal Aortic Aneurysm: A New Paradigm in Prediction and Prognosis after Endovascular Aneurysm Repair. [PDF]

Ann Vasc Dis
Nishibe T, Iwasa T, Fukuda S, Nakajima T, Shimura S, Nishibe M, Dardik A.   +6 more
europepmc   +1 more source

Multi-target active component detection of Panax notoginseng based on ATR-FTIR combined with machine learning

Dandan Kong, Jiawen Liang, Yongzheng Ma, Jia Li, Chenglin Wang, Fujie Zhang, Li Wang, Zhenhuan Liu   +7 more
openalex   +1 more source

The Promise of Solid Lubricants for a Sustainable Future

Advanced Materials, EarlyView.
Lubricants are vital for technology, saving energy and resources. The industry seeks sustainable solutions beyond fossil fuels. Solid lubricants offer extremely low friction and reduce environmental impact, especially in harsh conditions. Can these solids truly replace liquid lubricants, or are they limited to extreme applications?
Philipp G. Grützmacher, Andrey A. Voevodin, András Korényi‐Both, Maria Clelia Righi, Christopher DellaCorte, Nazlim Bagcivan, Ali Erdemir, Carsten Gachot   +7 more
wiley   +1 more source

Active queue management in 5G and beyond cellular networks using Machine Learning

Alexandros Stoltidis, Kostas Choumas, Thanasis Korakis   +2 more
openalex   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Development of machine learning models to identify potentially active compounds against tuberculosis. [PDF]

Sci Rep
Rawat A, Gupta S, Pal C, Chowdhury S.
europepmc   +1 more source

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

Advanced 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, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Harnessing Machine Learning Approaches for the Identification, Characterization, and Optimization of Novel Antimicrobial Peptides. [PDF]

Antibiotics (Basel)
Saleem N, Kumar N, El-Omar E, Willcox M, Jiang XT.   +4 more
europepmc   +1 more source