Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
A New Sine Family of Generalized Distributions: Statistical Inference with Applications
by SidAhmed Benchiha, Laxmi Prasad Sapkota, Aned Al Mutairi, Vijay Kumar, Rana H. Khashab, Ahmed M. Gemeay, Mohammed Elgarhy and Said G. Nassr
 
IoT-Driven Transformation of Circular Economy Efficiency: An Overview
by Zenonas Turskis and Violeta Šniokienė
 
Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus
by Bibi Fatima, Mehmet Yavuz, Mati ur Rahman, Ali Althobaiti and Saad Althobaiti
 
An Overview of the Vision-Based Human Action Recognition Field
by Fernando Camarena, Miguel Gonzalez-Mendoza, Leonardo Chang and Ricardo Cuevas-Ascencio
 
Radical Petrov–Galerkin Approach for the Time-Fractional KdV–Burgers’ Equation
by Youssri Hassan Youssri and Ahmed Gamal Atta
 
Applying Physics-Informed Neural Networks to Solve Navier–Stokes Equations for Laminar Flow around a Particle
by Beichao Hu and Dwayne McDaniel
 
Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices
by Jondeep Das, Partha Jyoti Hazarika, Morad Alizadeh, Javier E. Contreras-Reyes, Hebatallah H. Mohammad and Haitham M. Yousof
 
Exploring Trust Dynamics in Online Social Networks: A Social Network Analysis Perspective
by Stavroula Kridera and Andreas Kanavos
 
Free Vibration Analysis of Porous Functionally Graded Material Plates with Variable Thickness on an Elastic Foundation Using the R-Functions Method
by Lidiya Kurpa, Francesco Pellicano, Tetyana Shmatko and Antonio Zippo
 
Fuzzy Bipolar Hypersoft Sets: A Novel Approach for Decision-Making Applications
by Baravan A. Asaad, Sagvan Y. Musa and Zanyar A. Ameen
Views Article
Bitcoin versus S&P 500 Index: Return and Risk Analysis
by Aubain Nzokem and Daniel Maposa
Applying Physics-Informed Neural Networks to Solve Navier–Stokes Equations for Laminar Flow around a Particle
by Beichao Hu and Dwayne McDaniel
An Overview of the Vision-Based Human Action Recognition Field
by Fernando Camarena, Miguel Gonzalez-Mendoza, Leonardo Chang and Ricardo Cuevas-Ascencio
Hybrid Deep Learning Models for Predicting Student Academic Performance
by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga and Vikash Jugoo
Exploring Trust Dynamics in Online Social Networks: A Social Network Analysis Perspective
by Stavroula Kridera and Andreas Kanavos
Evaluation of Physics-Informed Neural Network Solution Accuracy and Efficiency for Modeling Aortic Transvalvular Blood Flow
by Jacques Francois Du Toit and Ryno Laubscher
IoT-Driven Transformation of Circular Economy Efficiency: An Overview
by Zenonas Turskis and Violeta Šniokienė
Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis
by Silvija Angelova, Maria Angelova and Rositsa Raikova
A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks
by Elkin Gelvez-Almeida, Marco Mora, Ricardo J. Barrientos, Ruber Hernández-García, Karina Vilches-Ponce and Miguel Vera
M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression
by Luis Cárdenas Florido, Leonardo Trujillo, Daniel E. Hernandez and Jose Manuel Muñoz Contreras
Downloads Article
Applying Physics-Informed Neural Networks to Solve Navier–Stokes Equations for Laminar Flow around a Particle
by Beichao Hu and Dwayne McDaniel
CFD Modelling of Gas-Solid Reactions: Analysis of Iron and Manganese Oxides Reduction with Hydrogen
by Mopeli Khama and Quinn Reynolds
FE2 Computations with Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation
by Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek, Stefan Hartmann and Andreas Rausch
Estimation of the Equivalent Circuit Parameters in Transformers Using Evolutionary Algorithms
by Hector Ascencion-Mestiza, Serguei Maximov, Efrén Mezura-Montes, Juan Carlos Olivares-Galvan, Rodrigo Ocon-Valdez and Rafael Escarela-Perez
IoT-Driven Transformation of Circular Economy Efficiency: An Overview
by Zenonas Turskis and Violeta Šniokienė
An Overview of the Vision-Based Human Action Recognition Field
by Fernando Camarena, Miguel Gonzalez-Mendoza, Leonardo Chang and Ricardo Cuevas-Ascencio
A PINN Surrogate Modeling Methodology for Steady-State Integrated Thermofluid Systems Modeling
by Kristina Laugksch, Pieter Rousseau and Ryno Laubscher
Evaluation of Physics-Informed Neural Network Solution Accuracy and Efficiency for Modeling Aortic Transvalvular Blood Flow
by Jacques Francois Du Toit and Ryno Laubscher
Numerical Modeling of Cavitation Rates and Noise Acoustics of Marine Propellers
by Kwanda Mercury Dlamini, Vuyo Terrence Hashe and Thokozani Justin Kunene
Multi-Objective Optimization in Virtual Power Plants for Day-Ahead Market Considering Flexibility
by Mohammad Hosein Salehi, Mohammad Reza Moradian, Ghazanfar Shahgholian and Majid Moazzami
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