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This new volume, Deep Learning in Visual Computing and Signal
Processing, covers the fundamentals and advanced topics in
designing and deploying techniques using deep architectures and
their application in visual computing and signal processing. The
volume first lays out the fundamentals of deep learning as well as
deep learning architectures and frameworks. It goes on to discuss
deep learning in neural networks and deep learning for object
recognition and detection models. It looks at the various specific
applications of deep learning in visual and signal processing, such
as in biorobotics, for automated brain tumor segmentation in MRI
images, in neural networks for use in seizure classification, for
digital forensic investigation based on deep learning, and more.
Key features: Covers both the fundamentals and the latest concepts
in deep learning Presents some of the diverse applications of deep
learning in visual computing and signal processing Includes over 90
figures and tables to elucidate the text An enlightening
amalgamation of deep learning concepts with visual computing and
signal processing applications, this valuable resource will serve
as a guide for researchers, engineers, and students who want to
have a quick start on learning and/or building deep learning
systems. It provides a good theoretical and practical understanding
and complete information and knowledge required to understand and
build deep learning models from scratch.
Electronic Measurement & Instrumentation caters to the needs of
the undergraduate courses in the disciplines of Electronics &
Communication Engineering, Electronics & Instrumentation
Engineering, Electrical & Electronics Engineering,
Instrumentation and Control Engineering and postgraduate students
specializing in Electronics and Control Engineering. It will also
serve as reference material for working engineers. Salient
FeaturesDetailed coverage of electronic systems, instrumentation,
measurement, units & standards, errors in measurement,
measurement of capacitance and inductance using AC bridges,
instrumentation amplifier & applications of transducers.
Comprehensive chapter on telemetry & data acquisition system,
intelligent instrumentations and biomedical instrumentation. Each
chapter contains a large number of solved examples and objective
type questions. Large number of neat, well drawn and illustrative
diagrams.
Basic Electronics Engineering is written to cater to the needs of
the undergraduate courses in the discipline of Electronics &
Communication Engineering, Computer Science Engineering,
Information Technology, Electronics & Instrumentation
Engineering, Electrical & Electronics Engineering and
postgraduate students specializing in Electronics. It will also
serve as reference material for engineers employed in industry. The
fundamental concepts and principles behind digital logic designs
are explained in a simple, easy-to-understand manner. Each chapter
contains a large number of solved examples and problems. This
textbook is organized into thirteen chapters, covering the syllabus
requirements. The last chapter gives the possible experiments of
digital logic design that can be done by students of B.E. / B. Tech
level.
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