Results 21 to 30 of about 49,842 (269)

Kendali Aliran dan Tekanan Adaptif dengan Metode Artificial Neural Network pada Alat Terapi Oksigen

Jurnal Elkomika
ABSTRAK Penelitian ini bertujuan untuk merancang prototype pengendalian aliran dan tekanan adaptif pada alat terapi oksigen. Sensor yang digunakan yaitu sensor MAX30100 untuk membaca saturasi oksigen dan sensor MLX90614 sebagi sensor yang dapat ...
ABYANUDDIN SALAM, NUR WISMA NUGRAHA, WILDAN ALFARIDHANI   +2 more
doaj   +1 more source

Artificial neural network (ANN) approach to copper biosorption process

SAÜ Fen Bilimleri Enstitüsü Dergisi, 2016
Bu makale, corek otu kullanilarak bakir biyosorpsiyon isleminin degerlendirilmesi icin yapay sinir agi (ANN) modelinin kullanimini gostermektedir. Deneysel degiskenler (sicaklik, biyosorbent kutlesi, baslangic bakir derisimi, baslangic pH’i) cikis olarak, herhangi bir zamanda adsorplanan bakir miktarini tahmin etmek icin kurulan sinir aginda girdi ...
Deniz Bingöl, Erdal Kılıç, Erdal Kılıç, Merve Hercan, Merve Hercan   +4 more
openaire   +4 more sources

Chaos Game Optimization-Hybridized Artificial Neural Network for Predicting Blast-Induced Ground Vibration

Applied Sciences
In this study, we introduced the chaos game optimization-artificial neural network (CGO-ANN) model as a novel approach for predicting peak particle velocity (PPV) induced by mine blasting.
Shugang Zhao, Liguan Wang, Mingyu Cao
doaj   +1 more source

State-of-the-art in artificial neural network applications: A survey

Heliyon, 2018
This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and area of focus ...
Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada, Nachaat AbdElatif Mohamed, Humaira Arshad   +5 more
doaj   +1 more source

An artificial neural network (ANN) as solute geothermometer

, 2021
The application of geothermometry has been used for the last six decades for geothermal reservoir temperature estimation. A steady evolution of conventional geothermometers to multicomponent tools as well as application of artificial intelligence are nowadays available.
Ystroem, Lars, Vollmer, Mark, Nitschke, Fabian, Kohl, Thomas   +3 more
openaire   +3 more sources

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Strategies for land use and ecological restoration around highways under improved neural networks

Discover Artificial Intelligence
The unchecked development of highway is causing extensive ecological disturbance such as habitat fragmentation, landscapes degradation and biodiversity loss.
Qian Zhou, Li Xu
doaj   +1 more source

Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models

Water Science and Technology
This study employs diverse machine learning models, including classic artificial neural network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional artificial neural network (EANN), to predict crucial parameters such as ...
Ali Hussain Alhamami, Emmanuel Falude, Ahmed Osman Ibrahim, Yakubu Aminu Dodo, Okpakhalu Livingston Daniel, Farruh Atamurotov   +5 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Spectrally Selective Bipolar Self‐Powered Opto‐Synaptic Responses in Tandem 2D van Der Waals Ferroelectric Heterojunctions

Advanced Functional Materials, EarlyView.
Tandem 2D vdW ferroelectric heterojunctions enable spectrally selective, self‐powered bipolar opto‐synaptic responses for retinal ON/OFF bipolar cell emulation and wavelength‐programmable logic operations. This work establishes vdW ferroelectric heterojunctions as a compelling materials platform for energy‐efficient, adaptive, and human‐like artificial
Rajiv Kumar Pandey, Chang Yong Park, Cheolhwa Jang, Taeho Kang, Sungjoo Lee   +4 more
wiley   +1 more source