Results 211 to 220 of about 2,288,742 (339)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Artificial Neural Network Models for the Prediction of Ammonia Concentrations in a Mediterranean Dairy Barn. [PDF]

Animals (Basel)
Santoro LM, D'Urso PR, Arcidiacono C, Frattale Mascioli FM, Coco S.   +4 more
europepmc   +1 more source

Enhanced approach for gears-bearings defect diagnosis based on optimized artificial neural network model and features selection graphical technique

Mohammed Salah BENABBOUD, Khaider BOUACHA, Mohamed SOULA   +2 more
openalex   +1 more source

EQUIVOX: AN EXAMPLE OF ADAPTATION USING AN ARTIFICIAL NEURAL NETWORK ON A CASE-BASED REASONING PLATFORM

, 2013
Julien Henriet, Brigitte Chebel‐Morello, Michel Salomon, J. Farah, R. Laurent, Marc Sauget, David Broggio, Didier Franck, Libor Makovicka   +8 more
openalex   +2 more sources

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Prediction of lung dose-volume parameters of the patients with esophageal cancer undergoing radiotherapy based on artificial neural network. [PDF]

J Appl Clin Med Phys
Li F.
europepmc   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Comparison of logistic regression and artificial neural network models for predicting hypoglycemia in non-ICU inpatients with diabetes. [PDF]

BMC Endocr Disord
Shao F, Lin G, Zeng F, Liu L, You J, Zeng B.   +5 more
europepmc   +1 more source

A single layer artificial neural network type architecture with molecular engineered bacteria for reversible and irreversible computing

, 2021
Kathakali Sarkar, Deepro Bonnerjee, Rajkamal Srivastava, Sangram Bagh   +3 more
openalex   +2 more sources

A review of artificial neural network models for ambient air pollution prediction

Environmental Modelling & Software, 2019
S. Cabaneros, J. Calautit, B. Hughes
semanticscholar   +1 more source