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Browsing by Kumar, Maddina DineshAuthor

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Showing results 1 to 14 of 14

SCIESCOPUS
Adaptive neuro-fuzzy inference system prediction of thermal transport in Casson ternary hybrid nanofluid thin film flow for biomedical applicationsGo to Linkopen access

Kumar, Maddina Dinesh; Upadhya, S. Mamatha; Shah, Nehad Ali; Raju, C. S. K.; Yook, Se-Jin

ArticleIssue Date2025CitationAIMS MATHEMATICS, v.10, no.11, pp 27381 - 27411PublisherAMER INST MATHEMATICAL SCIENCES-AIMS
SCIESCOPUS
Artificial neural networks for mass transfer and bioconvection analysis in radiative Eyring-Powell flow over a convective cylinder surface: Application to microbial fuel cellsGo to Link

Kumar, Maddina Dinesh; Raju, C. S. K.; Sajjan, Kiran; Dharmaiah, Gurram; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2025CitationEngineering Applications of Artificial Intelligence, v.156, pp 1 - 17PublisherPergamon Press Ltd.
SCIESCOPUS
Deep learning approach for predicting heat transfer in water-based hybrid nanofluid thin film flow and optimization via response surface methodologyGo to Linkopen access

Kumar, Maddina Dinesh; Dharmaiah, Gurram; Yook, Se-Jin; Raju, C. S. K.; Shah, Nehad Ali

ArticleIssue Date2025CitationCase Studies in Thermal Engineering, v.68, pp 1 - 25PublisherElsevier BV
SCIESCOPUS
Deep learning-based prediction of heat transfer in Newtonian fluid flow over convective cone and wedge surfacesGo to Link

Kumar, Maddina Dinesh; Shivakumar, S.p.; Upadhya, S. Mamatha; Nagaraja, K.v.; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2026CitationINTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, v.176, no.P2, pp 1 - 21PublisherPERGAMON-ELSEVIER SCIENCE LTD
SCIESCOPUS
Deep learning-driven heat transfer prediction in irregular ternary hybrid nanofluid flow over fin geometries via the Adam optimization algorithmGo to Link

Kumar, Maddina Dinesh; Durgaprasad, P.; Raju, C.S.K.; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2025CitationChemometrics and Intelligent Laboratory Systems, v.265, pp 1 - 17PublisherElsevier BV
SCIESCOPUS
Deep neural network-based prediction and computational fluid dynamics analysis of convective heat transfer in dusty fluid flow over heated surfaceGo to Link

Kumar, Maddina Dinesh; Raju, C. S. K.; Sajjan, Kiran; Dharmaiah, Gurram; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2025CitationPhysics of Fluids, v.37, no.2, pp 1 - 18PublisherAmerican Institute of Physics
SCIESCOPUS
Forecasting heat and mass transfer enhancement in magnetized non-Newtonian nanofluids using Levenberg-Marquardt algorithm: influence of activation energy and bioconvectionGo to Link

Kumar, Maddina Dinesh; Jawad, Muhammad; Ramanuja, Mani; Ghodhbani, Refka; Yook, Se-Jin; Abdallah, Suhad Ali Osman

ArticleIssue Date2025CitationMechanics of Time-Dependent Materials, v.29, no.1, pp 1 - 24PublisherKluwer Academic Publishers
SCIESCOPUS
Gradient Descent-Based Prediction of Heat-Transmission Rate of Engine Oil-Based Hybrid Nanofluid over Trapezoidal and Rectangular Fins for Sustainable Energy SystemsGo to Linkopen access

Kumar, Maddina Dinesh; Mamatha, S. U.; Masood, Khalid; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2026CitationCMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, v.146, no.1, pp 1 - 34PublisherTECH SCIENCE PRESS
SCIESCOPUS
Mass Transfer Characteristics and Entropy Generation of Rotating Non-Uniform Surfaces With Coriolis Forces and Dissipative Eyring-Powell FlowsGo to Linkopen access

Dharmaiah, Gurram; Kumar, Maddina Dinesh; Raju, C. S. K.; Shah, Nehad Ali; Yook, Se-Jin

ArticleIssue Date2026CitationZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, v.106, no.5, pp 1 - 20PublisherWILEY-V C H VERLAG GMBH
SCIESCOPUS
Optimising thermal performance of water-based hybrid nanofluids with magnetic and radiative effects over a spinning discGo to Link

Kumar, Maddina Dinesh; Gurram, Dharmaiah; Yook, Se-Jin; Raju, C.S.K.; Shah, Nehad Ali

ArticleIssue Date2025CitationChemometrics and Intelligent Laboratory Systems, v.258, pp 1 - 12PublisherElsevier BV
SCIESCOPUS
Optimization and classification of thermal transport on a convective surface with non-uniformly shaped ternary hybrid nanofluid flowsGo to Link

Kumar, Maddina Dinesh; Shah, Nehad Ali; Dharmaiah, Gurram; Yook, Se-Jin

ArticleIssue Date2025CitationENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v.157, pp 1 - 24PublisherPERGAMON-ELSEVIER SCIENCE LTD
SCIESCOPUS
Predicting thermal transport of blood-based penta-hybrid nanofluid in Fin geometries using deep neural networks and finite difference approachGo to Link

Kumar, Maddina Dinesh; Shah, Nehad Ali; Gurram, Dharmaiah; Yook, Se Jin

ArticleIssue Date2025CitationEngineering Applications of Artificial Intelligence, v.162, pp 1 - 15PublisherPergamon Press Ltd.
SCIESCOPUS
Spectral quasi-linearization and response optimization on magnetohydrodynamic flow via stenosed artery with hybrid and ternary solid nanoparticles: Support vector machine learningGo to Linkopen access

Kumar, Maddina Dinesh; Upadhya, Mamatha Sadananda; Yook, Se-Jin; Shah, Nehad Ali; Raju, Chakravarthula Siva Krishnam

ArticleIssue Date2025CitationNanotechnology Reviews, v.14, no.1, pp 1 - 11PublisherWALTER DE GRUYTER GMBH
SCIESCOPUS
Support vector machine learning classification of heat transfer rate in tri-hybrid nanofluid over a 3D stretching surface with suction effects for water at 10°C and 50°CGo to Linkopen access

Kumar, Maddina Dinesh; Raju, C. S. K.; Shah, Nehad Ali; Yook, Se-Jin; Gurram, Dharmaiah

ArticleIssue Date2025CitationAlexandria Engineering Journal, v.118, pp 556 - 578PublisherAlexandria University
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