Results 31 to 40 of about 765,648 (266)

Aquifer hydraulic conductivity prediction via coupling model of MCMC-ANN

Journal of Groundwater Science and Engineering, 2021
Grain-size distribution data, as a substitute for measuring hydraulic conductivity (K), has often been used to get K value indirectly. With grain-size distribution data of 150 sets of samples being input data, this study combined the Artificial Neural ...
Chun-lei GUI, Zhen-xing WANG, Rong MA, Xue-feng ZUO   +3 more
doaj   +1 more source

Artificial neural network prediction of quantitative structure: Retention relationships of polycyclic aromatic hydocarbons in gas chromatography [PDF]

Journal of the Serbian Chemical Society, 2005
A feed-forward artificial neural network (ANN) model was used to link molecular structures (boiling points, connectivity indices and molecular weights) and retention indices of polycyclic aromatic hydrocarbons (PAHs) in linear temperature- programmed gas
Sremac Snežana, Škrbić Biljana D., Onjia Antonije E.   +2 more
doaj   +1 more source

Moisture Absorption of cork-based Biosandwich Material Extracted from Quercussuber L. Plant: ANN and Fick’s Modelling

Journal of Natural Fibers, 2022
The building sector is one of the most dynamic in terms of energy consumption, consuming about 40% of the world’s energy. This same sector is also responsible for about 1/3 of the world’s greenhouse gas emissions.
Aziz Saaidia, Ahmed Belaadi, Abdelkrim Haddad   +2 more
doaj   +1 more source

Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns [PDF]

Journal of Rehabilitation in Civil Engineering, 2019
Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens ...
Yasser Sharifi, Forogh Lotfi, Adel Moghbeli   +2 more
doaj   +1 more source

PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent

Journal of Chemical and Petroleum Engineering, 2019
In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e.
Sohrab Fathi, Abbas Rezaei, Majid Mohadesi, Mona Nazari   +3 more
doaj   +1 more source

Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration

Applied Sciences, 2020
Ground vibration induced by blasting operations is an important undesirable effect in surface mines and has significant environmental impacts on surrounding areas.
Guichen Li, Deepak Kumar, Pijush Samui, Hima Nikafshan Rad, Bishwajit Roy, Mahdi Hasanipanah   +5 more
doaj   +1 more source

پیش‌بینی ضریب پخش رطوبت موثر و انرژی مصرفی ویژه بادمجان در خشک‌کن پیوسته با استفاده از روش‌های جدید [PDF]

مجله پژوهش‌های علوم و صنایع غذایی ایران, 2018
در این پژوهش، به‌منظور برآورد خواص خشک‌کردن بادمجان در یک خشک‌کن پیوسته از روش شبکه‌های عصبی مصنوعی (ANN)، الگوریتم بهینه‌سازی توده ذرات (PSO) و الگوریتم گرگ خاکستری (GWO) استفاده شد.
محمد کاوه, رضا امیری چایجان, یوسف عباسبور گیلانده, ترحم مصری گندشمن   +3 more
doaj   +1 more source

Leukemia and Exposure to Potential Benzene Sources in Children From the Mexico City Metropolitan Area, 2010–2021: A Geospatial Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita, Norma Candelaria López Santiago, Claudia Maria García Cuellar, Karla Maldonado Silva, Nancy Reynoso Noverón, Leticia Hernández Cadena   +5 more
wiley   +1 more source

Predicting Mechanical Strength and Optimized Parameters in FDM-Printed Polylactic Acid Parts Via Artificial Neural Networks and Desirability Analysis

Management Systems in Production Engineering
Fused deposition modeling (FDM) is a commonly used additive manufacturing (AM) technique in both domestic and industrial end-product fabrications.
Abdulridha Hind H., Abbas Tahseen F., Bedan Aqeel S.   +2 more
doaj   +1 more source

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method [PDF]

E3S Web of Conferences
Future predictions of precipitation are highly important for effective water resources management. The Global circulation models (GCMs) are commonly used to make such predictions.
Abdullahi Jazuli, Tahsin Ala, Yesilnacar Mehmet Irfan, Karabulut Abdullah İzzeddin, Daramola Oluwatoyin   +4 more
doaj   +1 more source