Authors: Maddina Dinesh Kumar; School of Mechanical Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; S. Mamatha Upadhya; Nehad Ali Shah; C. S. K. Raju; Se-Jin Yook; Faculty of Mathematics, Institute of Management, Kristu Jayanti University, Kothanur, Bengaluru, Karnataka 560077, India; Department of Mechanical Engineering, Sejong University, Seoul 05006, South Korea; Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Warangal-506371, Telangana, India
Deep learning-driven heat transfer prediction in irregular ternary hybrid nanofluid flow over fin geometries via the Adam optimization algorithm
Authors: Maddina Dinesh Kumar; P. Durgaprasad; C.S.K. Raju; Nehad Ali Shah; Se-Jin Yook
Gradient Descent-Based Prediction of Heat-Transmission Rate of Engine Oil-Based Hybrid Nanofluid over Trapezoidal and Rectangular Fins for Sustainable Energy Systems
Authors: Tosin Oreyeni; Maddina Dinesh Kumar; Nehad Ali Shah; Talha Anwar; M. Siva Sankari; Muhammad Faisal
AI-assisted FEM investigation of heat transfer under diverse configurations of three rotating squares in a harmonic wall cavity with internal heat generation
Authors: Adnan Ashique; Khalid Masood; Maddina Dinesh Kumar; Nehad Ali Shah
Artificial neural network-based optimization of heat transfer rate in magnetically controlled Bingham-type hybrid nanofluid flow for biomedical applications
Authors: Tosin Oreyeni; Pradeep Kaswan; Emmanuel Omokhuale; Maddina Dinesh Kumar; Nehad Ali Shah; S. U. Mamatha; Amos Oladele Popoola
Response surface optimization for Minsta-Gherasim hybrid nanofluid flow over a porous surface with varying water temperature levels and magnetic influence