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System-On-Chip Test Architectures: Nanometer Design for Testability

Modern electronics testing has a legacy of more than 40 years. The introduction of new technologies, especially nanometer technologies with 90nm or smaller geometry, has allowed the semiconductor...

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FPGA-based Prototyping Methodology Manual: Best Practices in...

This book collects the best practices FPGA-based Prototyping of SoC and ASIC devices into one place for the first time, drawing upon not only the authors' own knowledge but also from leading...

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Synchronous Precharge Logic

<p>Precharge logic is used by a variety of industries in applications where processor speed is the primary goal, such as VLSI (very large systems integration) applications. Also called dynamic...

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Digital Design and Computer Architecture

<p><b>Digital Design and Computer Architecture</b></p><p>Second Edition</p><p>David Money Harris and Sarah L. Harris</p><p>"<i>Harris and...

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Coherent Systems

One aspect of common sense reasoning is reasoning about normal cases, e.g. a physician will first try to interpret symptoms by a common disease, and will take more exotic possibilities only later into...

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Handbook of Temporal Reasoning in Artificial Intelligence

This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many...

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Digital Logic Design and Computer Organization with Computer Architecture for...

<h4>A COMPREHENSIVE GUIDE TO THE DESIGN & ORGANIZATION OF MODERN COMPUTING SYSTEMS</h4><p><i>Digital Logic Design and Computer Organization with Computer Architecture for...

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Formal Verification: An Essential Toolkit for Modern VLSI Design

<p><i>Formal Verification: An Essential Toolkit for Modern VLSI Design</i> presents practical approaches for design and validation, with hands-on advice to help working engineers...

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Learning ROS for Robotics Programming - Second Edition

In order to make the most of the book, you should have a C++ programming background, knowledge of GNU/Linux systems, and general skills in computer science. No previous background in ROS is required,...

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High Speed Digital Design: Design of High Speed Interconnects and Signaling

<p><i>High Speed Digital Design</i> discusses the major factors to consider in designing a high speed digital system and how design concepts affect the functionality of the system as...

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Mastering ROS for Robotics Programming

<p><b>Design, build and simulate complex robots using Robot Operating System and master its out-of-the-box functionalities</b></p><h2>About This...

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Make: FPGAs: Turning Software into Hardware with Eight Fun and Easy DIY Projects

<p>What if you could use software to design hardware? Not just any hardware--imagine specifying the behavior of a complex parallel computer, sending it to a chip, and having it run on that...

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R Deep Learning Essentials

Build automatic classification and prediction models using unsupervised learning About This Book • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R...

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The Physics of Computing

<p><i>The Physics of Computing</i> gives a foundational view of the physical principles underlying computers. Performance, power, thermal behavior, and reliability are all harder and...

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Emerging Research on Applied Fuzzy Sets and Intuitionistic Fuzzy Matrices

The use of fuzzy logic has become prominent in a variety of fields and applications. By implementing these logic sets, problems and uncertainties are more effectively resolved. Emerging Research on...

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Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make...

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The Maximum Consensus Problem: Recent Algorithmic Advances

Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be...

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Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the...

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Recent Developments in Intelligent Nature-Inspired Computing

The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments. By implementing effective computing strategies, this ensures adaptable,...

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Handbook of Research on Machine Learning Innovations and Trends

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the...

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