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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.
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Modeling, Machine Learning and Astronomy - First International Conference, MMLA 2019, Bangalore, India, November 22-23, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Snehanshu Saha, Nithin Nagaraj, Shikha Tripathi
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R1,580
Discovery Miles 15 800
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Ships in 10 - 15 working days
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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.
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