This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15–16, 2024.

The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15–16, 2024.

The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.

This book addresses the topic of fractional-order modeling of nuclear reactors. Approaching neutron transport in the reactor core as anomalous diffusion, specifically subdiffusion, it starts with the development of fractional-order neutron telegraph equations. Using a systematic approach, the book then examines the development and analysis of various fractional-order models representing nuclear reactor dynamics, ultimately leading to the fractional-order linear and nonlinear control-oriented models. The book utilizes the mathematical tool of fractional calculus, the calculus of derivatives and integrals with arbitrary non-integer orders (real or complex), which has recently been found to provide a more compact and realistic representation to the dynamics of diverse physical systems.

Including extensive simulation results and discussing important issues related to the fractional-order modeling of nuclear reactors, the book offers a valuable resource for students and researchersworking in the areas of fractional-order modeling and control and nuclear reactor modeling.

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15–16, 2024.

The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15–16, 2024.

The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.

This book addresses the topic of fractional-order modeling of nuclear reactors. Approaching neutron transport in the reactor core as anomalous diffusion, specifically subdiffusion, it starts with the development of fractional-order neutron telegraph equations. Using a systematic approach, the book then examines the development and analysis of various fractional-order models representing nuclear reactor dynamics, ultimately leading to the fractional-order linear and nonlinear control-oriented models. The book utilizes the mathematical tool of fractional calculus, the calculus of derivatives and integrals with arbitrary non-integer orders (real or complex), which has recently been found to provide a more compact and realistic representation to the dynamics of diverse physical systems.

Including extensive simulation results and discussing important issues related to the fractional-order modeling of nuclear reactors, the book offers a valuable resource for students and researchersworking in the areas of fractional-order modeling and control and nuclear reactor modeling.