In the digital era, novel applications and techniques in the realm of computer science are increasing constantly. These innovations have led to new techniques and developments in the field of cybernetics. The Handbook of Research on Applied Cybernetics and Systems Science is an authoritative reference publication for the latest scholarly information on complex concepts of more adaptive and self-regulating systems. Featuring exhaustive coverage on a variety of topics such as infectious disease modeling, clinical imaging, and computational modeling, this publication is an ideal source for researchers and students in the field of computer science seeking emerging trends in computer science and computational mathematics.

This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019.The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.

When Feynman was asked how he thought he should approach teaching in the classroom, his response was, "I don't know, really " What he meant was there is no standard protocol that one can build to manage and disseminate the principles of learning.
"Ordinary Differential Equations: A Structured Approach" provides an interactive, step-by-step guide to the complex world of differential equations. This text doesn't simply focus on finding a particular solution. Instead, it places emphasis on helping students analyze and understand the importance of the solution's context. Each solution method presented in this book is structured and distinct, which makes the classification of the equation just as important as the solution. A variety of examples are utilized to create an engaging and interesting reading experience, and encourage lively classroom discussion. Concept check-points and challenging problems are included throughout to facilitate the learning process. "Ordinary Differential Equations" combines theory and applications, making this a useful text for both Mathematics and Engineering majors.
Snehanshu Saha, Ph.D. was born in Calcutta, India, where he completed degrees in Mathematics and Computer Science. He went on to earn his Masters in Mathematical Sciences at Clemson University and his Ph.D. from the Department of Mathematics at University of Texas at Arlington in 2008. After working briefly at his Alma matter, Snehanshu moved to the University of Texas El Paso, where he currently teaches Differential equations, Calculus and Linear Algebra.
Apart from Mathematical research, Snehanshu takes a keen interest in Physics. He is a passionate teacher and encourages young people to study the sciences. He's actively involved in undergraduate research initiatives at the University of Texas El Paso, working with young minds and motivating them to pursue careers in higher mathematics.

The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.