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This book offers a unique account on the life and works of
Srinivasa Ramanujan-often hailed as the greatest "natural"
mathematical genius. Sharing valuable insights into the many stages
of Ramanujan's life, this book provides glimpses into his prolific
research on highly composite numbers, partitions, continued
fractions, mock theta functions, arithmetic, and hypergeometric
functions which led the author to discover a new summation theorem.
It also includes the list of Ramanujan's collected papers, letters
and other material present at the Wren Library, Trinity College in
Cambridge, UK. This book is a valuable resource for all readers
interested in Ramanujan's life, work and indelible contributions to
mathematics.
MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge
new volume covers the hardware architecture implementation, the
software implementation approach, the efficient hardware of machine
learning applications with FPGA or CMOS circuits, and many other
aspects and applications of machine learning techniques for VLSI
chip design. Artificial intelligence (AI) and machine learning (ML)
have, or will have, an impact on almost every aspect of our lives
and every device that we own. AI has benefitted every industry in
terms of computational speeds, accurate decision prediction,
efficient machine learning (ML), and deep learning (DL) algorithms.
The VLSI industry uses the electronic design automation tool (EDA),
and the integration with ML helps in reducing design time and cost
of production. Finding defects, bugs, and hardware Trojans in the
design with ML or DL can save losses during production. Constraints
to ML-DL arise when having to deal with a large set of training
datasets. This book covers the learning algorithm for floor
planning, routing, mask fabrication, and implementation of the
computational architecture for ML-DL. The future aspect of the
ML-DL algorithm is to be available in the format of an integrated
circuit (IC). A user can upgrade to the new algorithm by replacing
an IC. This new book mainly deals with the adaption of computation
blocks like hardware accelerators and novel nano-material for them
based upon their application and to create a smart solution. This
exciting new volume is an invaluable reference for beginners as
well as engineers, scientists, researchers, and other professionals
working in the area of VLSI architecture development.
This book offers a unique account on the life and works of
Srinivasa Ramanujan-often hailed as the greatest "natural"
mathematical genius. Sharing valuable insights into the many stages
of Ramanujan's life, this book provides glimpses into his prolific
research on highly composite numbers, partitions, continued
fractions, mock theta functions, arithmetic, and hypergeometric
functions which led the author to discover a new summation theorem.
It also includes the list of Ramanujan's collected papers, letters
and other material present at the Wren Library, Trinity College in
Cambridge, UK. This book is a valuable resource for all readers
interested in Ramanujan's life, work and indelible contributions to
mathematics.
This book is evolved as a result of the research work done by the
second author under the guidance of first author for his Ph.D
degree in computer science. The need for design and development of
highly sophisticated equipment for utilizing the modern
technological advancements have motivated to do research in Image
segmentation and image analysis. The aim of this book is to provide
an insight for utilizing probability models for efficient image
processing and analysis. This book serve as a text book/monograph
for students working in Computer science/Computer engineering/
Information Technology/ Statistics/Mathematics/ Electronics and
Communication Engineering. This book is almost designed such a way
that it is useful for young researchers and expert researchers to
utilize advanced level statistical techniques in Image Processing
and analysis. This book reflects the authors experience in teaching
and research in Digital image processing, Computer Vision, Pattern
recognition, Data mining at their respective institutions.
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