Numerical treatment of squeezed MHD Jeffrey fluid flow with Cattaneo Chrisstov heat flux in a rotating frame using Levnberg-Marquard method

Article Thermodynamics

The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions

Muhammad Shoaib et al.

Summary: This study optimized the entropy generation in dissipative flow using artificial neural networks and investigated the effects of various parameters on the flow characteristics.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2022)

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Article Multidisciplinary Sciences

Fractional boundary element solution of three-temperature thermoelectric problems

Mohamed Abdelsabour Fahmy et al.

Summary: This article proposes a novel fractional boundary element method for solving nonlinear three-temperature thermoelectric problems. The advantages of the method are discussed, and the numerical results validate its effectiveness and accuracy.

SCIENTIFIC REPORTS (2022)

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Article Computer Science, Artificial Intelligence

Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

Muhammad Shoaib et al.

Summary: This study presents a numerical treatment of COVID-19 transmission and severity in Romania and Pakistan using an integrated computational intelligent paradigm called ANN-GA-SQP. The proposed method combines artificial neural network genetic algorithms and sequential quadratic programming to solve the issue. This hybrid approach shows novelty and significant potential in addressing the challenges posed by COVID-19.

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS (2022)

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Article Physics, Multidisciplinary

Heat and Mass Transfer Analysis for Unsteady Three-Dimensional Flow of Hybrid Nanofluid Over a Stretching Surface Using Supervised Neural Networks

Muhammad Shoaib et al.

Summary: The study investigates the flow characteristics and heat transfer of hybrid nanofluid in an unsteady three-dimensional flow over a stretchable and rotatory sheet. The proposed solution methodology, based on Levenberg-Marquardt supervised neural networks, is validated through numerical simulations. The results confirm the accuracy and effectiveness of the proposed approach.

FRONTIERS IN PHYSICS (2022)

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Article Thermodynamics

Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm

Muhammad Shoaib et al.

Summary: In this study, the nano-material flow of Ree-Eyring fluid model (NF-REFM) was analyzed using TLM-BNNs, showing the effectiveness of this method in computing and validating flow performance. The effects of flow on velocity, temperature, and concentration under different parameters were investigated, and results regarding entropy generation, Bejan number, Nusselt number, Sherwood number, and skin friction coefficient were also discussed.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2021)

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Article Computer Science, Information Systems

Machine Learning Model and Statistical Methods for COVID-19 Evolution Prediction

M. D. Alsulami et al.

Summary: This paper discusses the statistical processing of COVID-19 data, comparing the effects on deaths using logistic regression and decision tree models in France, Germany, Italy, and Spain. The results show that countries with high population densities tend to have more cases, and there are more female deaths in the UK.

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2021)

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Article Computer Science, Interdisciplinary Applications

A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics

Muhammad Shoaib et al.

Summary: The proposed NAR-RBFs model demonstrates a high level of accuracy and convergence in dealing with the spread of COVID-19. The outcomes of this study will be valuable for forecasting the progress of COVID-19, understanding the influence of key parameters on its spread, and aiding in planning, monitoring, and preventing the transmission of COVID-19.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)

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Article Mathematics, Interdisciplinary Applications

Numerical Solution of the Multiterm Time-Fractional Model for Heat Conductivity by Local Meshless Technique

Bander N. Almutairi et al.

Summary: This study focuses on the approximate numerical solutions of the three-term time-fractional Sobolev model equation using a local meshless method. It is found that multi-term time-fractional PDEs can improve modeling accuracy for describing diffusion processes compared to single terms, attracting the attention of researchers.

COMPLEXITY (2021)

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Article Computer Science, Artificial Intelligence