Results 101 to 110 of about 874,187 (329)
Advanced Functional Materials, EarlyView.This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
wiley +1 more source
Artificial Neural Network Utilization for FSO Link Performance Estimation [PDF]
, 2014 This paper describes FSO link performance prediction based on available meteorological data using different Artificial Neural Network (ANN) approaches. Several types of ANNs were compared and their performance were evaluated.
Mudroch, M., Zvanovec, S.
core +1 more source
Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
SOFTWARE IMPLEMENTATION OF THE ARTIFICIAL NEURAL NETWORK FOR VIRTUAL OBJECTS СONTROL
Системный анализ и прикладная информатика, 2018 Artificial neural networks (ANN) are now widely used in control and forecasting problems. The purpose of this work is the implementation of an artificial neural network for virtual objects control in a computer game of football.
Yu. B. Popova, S. V. Yatsynovich
doaj +1 more source
The neural network as a prototype in the design of nonconventional computer architecture for artificial intelligence applications (abstract) [PDF]
, 1986 Massoud Omidvar, J.Y. Cheung
openalex +1 more source
Artificial Neural Networks [PDF]
Journal of the Royal Society of Medicine, 1999 Sarah Rae, Wen Jia Wang, Derek Partridge
openaire +3 more sources
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
An artificial neural network model of human sound localization [PDF]
, 1992 Timothy R. Anderson +2 more
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Advanced Functional Materials, EarlyView.Janus (MoS2) transistors functionalized with sodium alginate (SA) and poly(vinylidene fluoride‐co‐trifluoroethylene) [P(VDF‐TrFE)] exhibit persistent photo‐induced ionic gating, driven by dynamic cation migration at the hybrid interface. This ionic mechanism enables finely tunable photoconductivity and emulates key synaptic plasticity behaviors ...
Yeonsu Jeong +5 more
wiley +1 more source
ANOMALY NETWORK INTRUSION DETECTION SYSTEM BASED ON DISTRIBUTED TIME-DELAY NEURAL NETWORK (DTDNN) [PDF]
Journal of Engineering Science and Technology, 2010 In this research, a hierarchical off-line anomaly network intrusion detection system based on Distributed Time-Delay Artificial Neural Network is introduced. This research aims to solve a hierarchical multi class problem in which the type of attack (DoS,
LAHEEB MOHAMMAD IBRAHIM
doaj