Results 111 to 120 of about 874,187 (329)

Real time application of artificial neural network for incipient fault detection of induction machines [PDF]

, 1990
Mo–Yuen Chow, Sui Oi Yee
openalex   +1 more source

Polaronic and Electrochemical Signatures in Group IVB (Ti, Zr, Hf) Oxides: Unified SKP–DFT Insights for Tunable Transport in Energy and Electronic Devices

Advanced Functional Materials, EarlyView.
Charge carrier concentration and mobility in TiO2, ZrO2, and HfO2 powder films are experimentally mapped as a function of temperature. The results uncover polaron‐mediated transport regimes and field‐activated conduction, enabling the design of oxide‐based electronic and energy devices with thermally tunable functionality.
Beatriz Moura Gomes, Júlia Holtz, Maria Luís Pinto, Maria Helena Braga   +3 more
wiley   +1 more source

Biosupercapacitors for Human‐Powered Electronics

Advanced Functional Materials, EarlyView.
Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim, Seungho Baek, Woojung Jung, Hayeon Bae, Junyoung Mun, Yong Ho Kim, Sunkook Kim, Jung Ho Kim   +7 more
wiley   +1 more source

On-line learning processes in artificial neural networks [PDF]

, 1993
Tom Heskes, Bert Kappen
openalex   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source

Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model

Frontiers in Pharmacology
Background: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of ...
Xian Zhao, Qin Peng, Dongmei Hu, Weiwei Li, Qing Ji, Qianqian Dong, Luguang Huang, Miyang Piao, Yi Ding, Jingwen Wang   +9 more
doaj   +1 more source

Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making [PDF]

, 1993
Yuzheng Wu, Kunio Doi, Charles E. Metz, Naoki Asada, Maryellen L. Giger   +4 more
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

PREDICTION OF CROP YIELDS ACROSS FOUR CLIMATE ZONES IN GERMANY: AN ARTIFICIAL NEURAL NETWORK APPROACH [PDF]

This paper shows the ability of artificial neural network technology to be used for the approximation and prediction of crop yields at rural district and federal state scales in different climate zones based on reported daily weather data. The method may
Richard S.J. Tol, Thomas Heinzow
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