Results 91 to 100 of about 874,187 (329)

Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot Study

Nature and Science of Sleep, 2022
Papangkorn Inkeaw,1 Pimwarat Srikummoon,2,3 Jeerayut Chaijaruwanich,1,4 Patrinee Traisathit,2,3,5 Suphakit Awiphan,1,4 Juthamas Inchai,6 Ratirat Worasuthaneewan,7 Theerakorn Theerakittikul6,7 1Data Science Research Center, Department of Computer Science,
Inkeaw P, Srikummoon P, Chaijaruwanich J, Traisathit P, Awiphan S, Inchai J, Worasuthaneewan R, Theerakittikul T   +7 more
doaj  

An application and modelling on the artificial neural network to the RHV Tube [PDF]

Revista Română de Informatică și Automatică
Artificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations.
Murat Eray KORKMAZ
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A Wavelet Neural Network for SAR Image Segmentation

Sensors, 2009
This paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability
Fa-Yu Wang, Xian-Bin Wen, Hua Zhang
doaj   +1 more source

Differential Compartmentalization of Enzymatic Reactions for Lactate Signaling Across Protocells

Advanced Functional Materials, EarlyView.
Two populations of protocells consisting of giant unilamellar vesicles containing active species and distinct artificial organelles are competent of collective behavior by mimicking production, intercellular communication, and detection of the bioinspired signal molecule lactate. Enzymatic cascade reactions within artificial organelles demonstrate that
Arianna Balestri, Xinan Huang, Emanuel Lörtscher, Cora‐Ann Schoenenberger, Cornelia G. Palivan   +4 more
wiley   +1 more source

Neural networks for impact parameter determination [PDF]

, 2006
: An accurate impact parameter determination in a heavy ion collision is crucial for almost all further analysis. The capabilities of an artificial neural network are investigated to that respect.
Bass, Steffen A., Bischoff, Arnd, Greiner, Walter, Maruhn, Joachim, Stöcker, Horst   +4 more
core   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

Advanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao, Zhengyang Cao, Guangjun Zhong, Limin Shi, Junxia Xie, Jianhua Hao   +5 more
wiley   +1 more source

House Price Prediction: Hedonic Price Model vs. Artificial Neural Network [PDF]

The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction.
Limsombunchai, Visit
core   +1 more source

Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation

Advanced Functional Materials, EarlyView.
A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Tie Jun Cui, Vincenzo Galdi   +7 more
wiley   +1 more source

A novel time difference of arrival localization algorithm using a neural network ensemble model

International Journal of Distributed Sensor Networks, 2018
In a localization system, time difference of arrival technique is widely used to estimate the location of a mobile station. To improve the performance of mobile station location estimation, a novel algorithm-based artificial neural network ensemble and ...
Zhenkai Zhang, Feng Jiang, Boyuan Li, Bing Zhang   +3 more
doaj   +1 more source