ANN-Based Machine Learning Approach to Convection Past a Rotating Cone – Physics of Fluids (Q1)

We are proud to share that Dr. B. Rajender and Dr. R. Shravan Kumar, Assistant Professors in the Department of Mathematics at Anurag University, have published a research paper titled “Artificial Neural Network-Based Machine Learning Approach to Analyzing the Influence of Variable Properties on Convection Past a Rotating Cone with Soret and Dufour Effects.” The work has been co-authored with Prof. Srinivasacharya from NIT Warangal and published in Physics of Fluids, a SCIE-indexed (Q1) journal with an Impact Factor of 4.3, Cite Score of 5.7, and an H-index of 223.
Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.
Written By
By AU Media Team
More Stories You Might Like

Advancing Computational Ferrites Research
Dr. G. Swetha, Assistant Professor, Department of Physics, has authored the book chapter "Computational Insights into Ferrites" in the book Recent Advances in Ferrites: Structure, Properties, and Emerging Applications, published in the IIP Series.

Enhancing Physical Education Curriculum Effectiveness
Mr. Paramesham Meesala, Assistant Director of Physical Education, Neelima Institute of Medical Sciences, has successfully earned a Ph.D. in Physical Education from Sikkim Alpine University for his thesis titled "An Analytical Study of the Role of the Physical Education Curriculum in Enhancing Physical Fitness Instruction in School Education."


