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.