Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review
V Nourani, NJ Paknezhad, A Ag, Z Wen… - Groundwater for …, 2024 - Elsevier
Abstract The Gravity Recovery and Climate Experiment (GRACE) data has brought
significant advancements in groundwater (GW) analysis by providing crucial information …
significant advancements in groundwater (GW) analysis by providing crucial information …
Optical solitons of M-fractional nonlinear Schrödinger's complex hyperbolic model by generalized Kudryashov method
W Hamali, J Manafian, M Lakestani… - Optical and Quantum …, 2024 - Springer
In this paper, the new optical wave solutions to the truncated M-fractional (2+ 1)-dimensional
non-linear Schrödinger's complex hyperbolic model by utilizing the generalized Kudryashov …
non-linear Schrödinger's complex hyperbolic model by utilizing the generalized Kudryashov …
[HTML][HTML] Stability analysis and consistent solitary wave solutions for the reaction–diffusion regularized nonlinear model
The reaction-nonlinear diffusion model is analyze analytically, under both logistic and
bistable growth regularization. These regularization techniques have been widely apply and …
bistable growth regularization. These regularization techniques have been widely apply and …
Comparing Artificial Intelligence Algorithms with Empirical Correlations in Shear Wave Velocity Prediction
M Khalilidermani, D Knez - Applied Sciences, 2023 - mdpi.com
Accurate estimation of shear wave velocity (V s) is crucial for modeling hydrocarbon
reservoirs. The V s values can be directly measured using the Dipole Shear Sonic Imager …
reservoirs. The V s values can be directly measured using the Dipole Shear Sonic Imager …
Wave profile, Paul-Painlevé approaches and phase plane analysis to the generalized (3+ 1)-dimensional shallow water wave model
M Liu, J Manafian, G Singh, AS Alsubaie… - Qualitative Theory of …, 2024 - Springer
In this paper, the solitary wave solutions, the periodic type, and single soliton solutions are
acquired. Here, the Hirota bilinear operator is employed to investigate single soliton …
acquired. Here, the Hirota bilinear operator is employed to investigate single soliton …
Design optimization of irregularity RC structure based on ANN-PSO
X Zhang - Heliyon, 2024 - cell.com
Seismic design principles advocate for simple and regular structures to minimize earthquake
damage. However, this frequently does not lead to unique and aesthetically pleasing …
damage. However, this frequently does not lead to unique and aesthetically pleasing …
[HTML][HTML] Effect of sintering temperature and time on the microstructure, density, phase, selected mechanical and tribological properties of Cf/Si3N4 composite …
S Hoseinzadeh, G Gordani, M Tavoosi… - Arabian Journal of …, 2024 - Elsevier
The purpose of this study is to examine the effect of different temperatures and sintering
times on the microstructure, density, hardness, bending strength, coefficient of friction (COF) …
times on the microstructure, density, hardness, bending strength, coefficient of friction (COF) …
Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine …
This study employs diverse machine learning models, including classic artificial neural
network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional …
network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional …
Hydrologic connectivity assessment among natural hydrosystem components using emerging entropy and evolutionary computing methods
S Jafariroodsari, H Gökçekuş… - … , Ecosystems and Society, 2024 - iwaponline.com
Understanding the interactions among the natural components of hydrological systems is
essential for managing water resources, addressing environmental concerns, and mitigating …
essential for managing water resources, addressing environmental concerns, and mitigating …
Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques
S Ibrahim, N Abdul Wahab - Water Science & Technology, 2024 - iwaponline.com
Hyperparameter tuning is an important process to maximize the performance of any neural
network model. This present study proposed the factorial design of experiment for screening …
network model. This present study proposed the factorial design of experiment for screening …