Results 41 to 50 of about 254,846 (297)

New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods

Reviews in Analytical Chemistry, 2011
The simultaneous spectral prediction of levamisole (LEV) and triclabendazole (TRI) in combined veterinary formulation was performed by the new chemometric methods, artificial neural network (ANN) and principal component analysis-artificial neural network
Dinç Erdal, Baleanu Dumitru, Köktaş Nigar Şen   +2 more
doaj   +1 more source

Estimating scour below inverted siphon structures using stochastic and soft computing approaches [PDF]

Journal of Artificial Intelligence and Data Mining, 2017
This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures.
M. Fatahi, B. Lashkar-Ara
doaj   +1 more source

Artificial intelligent applications for estimating flow network reliability

Ain Shams Engineering Journal, 2023
Artificial intelligence (AI), often known as machine learning, is a powerful tool for solving engineering problems. The evaluation of the network reliability of a flow network is a NP-hard problem, with computational effort growing exponentially with the
Moatamed Refaat Hassan, Salem Alkhalaf, Ashraf Mohamed Hemeida, Mahrous Ahmed, Eman Mahmoud   +4 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

ESTIMATING Of CO2 CONVERSION IN FALLING FILM REACTOR USING ARTIFICIAL NEURAL NETWORK

Diyala Journal of Engineering Sciences, 2008
This paper presents the development of Artificial Neural Network (ANN) model for absorption process of CO2 gas using monoethanolamine (MEA) as a solvent in a falling film reactor.
Ahmed Wiheeb
doaj   +1 more source

Cuttings Bed Height Prediction in Microhole Horizontal Wells with Artificial Intelligence Models

Energies, 2022
Inadequate drill cuttings removal can cause costly problems such as excessive drag, lower rate of penetration, and even mechanical pipe sticking. Cuttings bed height is usually used to evaluate hole-cleaning efficiency in horizontal wells. In this study,
Yaotu Han, Xiaocheng Zhang, Zhengming Xu, Xianzhi Song, Weijie Zhao, Qilong Zhang   +5 more
doaj   +1 more source

Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors

Advanced Functional Materials, EarlyView.
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee, Hyoik Jang, Myeongjin An, Junho Sung, Chaeyeon Han, Eunho Lee   +5 more
wiley   +1 more source

Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

Agronomy, 2019
Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry.
Yousef Abbaspour-Gilandeh, Sajad Sabzi, Mario Hernández-Hernández, Jose Luis Hernández-Hernández, Farzad Azadshahraki   +4 more
doaj   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

Advanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +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