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Book SynopsisTrade Review"[A] treat . . . I think that students studying this material would not only find Paul’s treatments easy to follow, but would benefit greatly by learning something of the history that surrounds the development of the analysis and applications of the heat equation."---Jim Stein, New Books in Mathematics"Nahin knows how to write a book mixing physics and (a lot of) mathematics and (still) make it readable."---Adhemar Bultheel, European Mathematical Society"Hot Molecules, Cold Electrons has provided me with a new perspective on what I thought to be a rather tedious topic. . . . I would recommend it to anyone who wants to work out their maths muscles and learn something along the way."---Louis Ammon, Chemistry World

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Book SynopsisSince the publication of the best-selling, highly acclaimed first edition, the technology and clinical applications of medical imaging have changed significantly. Gathering these developments into one volume, Webb's Physics of Medical Imaging, Second Edition presents a thorough update of the basic physics, modern technology and many examples of clinical application across all the modalities of medical imaging.New to the Second Edition Extensive updates to all original chapters Coverage of state-of-the-art detector technology and computer processing used in medical imaging 11 new contributors in addition to the original team of authors Two new chapters on medical image processing and multimodality imaging More than 50 percent new examples and over 80 percent new figures Glossary of abbreviations, color insert and contents lists at the beginning of each chapter Keeping the maTrade Review"For those who have the first edition and found it useful, this edition would be very worthwhile to purchase. Based on my (albeit limited) review, the editor and contributors have done a good job making extensive updates. …the advantage is that each chapter is written by one or more specialists. This would make an excellent reference for medical physicists and should be an excellent textbook for a second course in medical imaging..."—Steven T. Ratliff, PhD, St. Cloud State University, Minnesota, USA"… a cohesive textbook … The editor’s aim was to keep the contents in one, manageable book while retaining accessibility for student use. Overall, in spite of the many new developments included, the challenge has been met. Chapters on the main imaging modalities have been overhauled … replaced with up-to-date examples. … This book is excellent value for the money and a strong contender as a textbook for master’s level courses. Buy one early on, and this is a book that you’ll consult throughout your career."—Elizabeth Berry, SCOPE, June 2013"Possibly the most comprehensive book on the subject currently on the market."—Dr. Sandro Olivo, University College London"I do not feel that this book is intended for technologists trying to increase their knowledge in the clinical setting. Rather, it seems to be designed for technologists in a research setting or for graduate students. … Most of the diagrams and charts are easy to understand, and the glossary of abbreviations at the beginning of the book is helpful. … the book does explain reasons for artifacts in medical imaging so that they can be avoided as much as possible in daily practice. … useful to keep this reference text in the imaging department for technical questions that may arise."—Gail M. Kurpinski, Radiologic Technology, March/April 2013Praise for the First Edition:Steve Webb has produced a first-class book. Because The Physics of Medical Imaging is up to date in a rapidly changing field, it is the text of choice for teaching graduate research students in this new and exciting subspeciality of physics.—Physics Today… a worthwhile addition to the personal library of anyone connected with this field.—Journal of Clinical Physics and Physiological MeasurementFor all those requiring a comprehensive review of medical imaging techniques, at a fairly basic level, this text is highly recommended.—Australian PhysicistThis is a book well worth the money and I can strongly recommend it both as desk and bedside reading.—HPA BulletinDevelopments in digital radiography, together with an analysis of the computing requirements of the various techniques, complete this excellent text. The authors have done a remarkable job in covering such a wide subject so well in such a short book.—Image Processing MagazineThis is an excellent publication and represents much dedication and hard work on behalf of the authors and, in particular, the editor. —RAD MagazineTable of ContentsIn the Beginning: The Origins of Medical Imaging. Diagnostic Radiology with X-Rays. X-Ray Transmission Computed Tomography. Clinical Applications of X-Ray Computed Tomography in Radiotherapy Planning. Radioisotope Imaging. Diagnostic Ultrasound. Spatially Localised Magnetic Resonance. Physical Aspects of Infrared Imaging. Imaging of Tissue Electrical Impedance. Optical Imaging. Mathematics of Image Formation and Image Processing. Medical Image Processing. Perception and Interpretation of Images. Computer Requirements of Imaging Systems. Multimodality Imaging. Epilogue. Index.

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Book SynopsisThe popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field.Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory Table of ContentsSignal and Image Generation and Reconstruction. SNR Improvement and Inhomogeneities Correction. Image Processing and Quantitative Analysis. Spectroscopy, Diffusion, and Elasticity: From Modeling to Parametric Image Generation. BOLD Contrast MR Imaging and fMRI Signal Analysis. Index.

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Book SynopsisMulti-Protocol Label Switch (MPLS) and Generalized MPLS (GMPLS) are key technologies for next-generation IP backbone networks. Until now, however, engineers have been forced to search for technical papers on this subject and read them in an ad-hoc manner. At last there is a book that explains both MPLS and GMPLS concepts in a systematic way. GMPLS Technologies: Broadband Backbone Networks and Systems addresses the basic concepts, network architectures, protocols, and traffic engineering needed to operate MPLS and GMPLS networks. The book begins with an introduction of the nature and requirements of broadband networks. It describes the basics of control-oriented networks and Internet Protocol (IP).The text then examines the fundamentals of MPLS, explaining why MPLS is preferable to IP packet-based forwarding. This volume covers MPLS applications, details IP router structures, illustrates GMPLS, and explores important studies on traffic engineering in GMPLS Networks.Table of ContentsBroadband and Multimedia. Basic Mechanism of Connection Oriented Network. Connection Oriented Communications and ATM. Internet Protocol: IP. MPLS Basics. Application of MPLS. Structure of IP Router. GMPLS (Generalized Multiprotocol Label Switching). Traffic-Engineering in Generalized Multi-Protocol Label Switching (GMPLS) Networks.

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Book SynopsisFuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it.Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic.Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms Explore the trade-offs between efficient theoretical behavior and practical hardware realizations Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon Analyze analog, digital, and mixed-signal techniques Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments. Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applicationsTable of Contents1. Introduction. 2. Fuzzy Set Theory, 3. Fuzzy Inference Systems, 4. Fuzzy System Development, 5. Fuzzy System Verification, 6. Hardware Realization of Fuzzy Systems, 7. Continuous-Time Analog Techniques for Designing Fuzzy Integrated Circuits, 8. Discrete-Time Analog Techniques for Designing Fuzzy Integrated Circuits, 9. Digital Techniques for Designing Fuzzy Integrated Circuits, 10. Fuzzy System Synthesis, 11. Fuzzy Systems as Controllers, 12. Fuzzy Systems as Approximators, Index

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Book SynopsisFrom the explosion of interest, research, and applications of evolutionary computation a new field emerges-evolutionary electronics. Focused on applying evolutionary computation concepts and techniques to the domain of electronics, many researchers now see it as holding the greatest potential for overcoming the drawbacks of conventional design techniques.Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms formally introduces and defines this area of research, presents its main challenges in electronic design, and explores emerging technologies. It describes the evolutionary computation paradigm and its primary algorithms, and explores topics of current interest, such as multi-objective optimization. The authors examine numerous evolutionary electronics applications, draw conclusions about those applications, and sketch the future of evolutionary computation and its applications in electronics. In coming years, the appeaTable of ContentsWHAT IS EVOLUTIONARY ELECTRONICS: Introduction to Evolutionary Electronics. EVOLUTIONARY COMPUTATION: Introduction to Evolutionary Computation. Advanced Topics in Evolutionary Computation. EVOLUTIONARY ELECTRONICS: Evolutionary Computation: A Tool for Integrated Circuits Optimization. Evolutionary Computation: A Tool for Analog Circuit Synthesis. Evolutionary Computation: A Tool for Digital Circuit Synthesis. Evolution of Circuits on Reconfigurable Chips. FINAL REMARKS: Conclusions.

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Book SynopsisThe responsibilities of the system engineer are many and varied, especially as they relate to facility design and construction. Successful execution of these responsibilities requires an understanding of the underlying technologies, the applicable quality standards, and the proper methods for achieving them. The Communications Facility Design Handbook is dedicated to providing and supporting that understanding. It examines the tasks and functions of the system engineer and establishes a foundation for designing, installing, operating, and maintaining audio, video, computer, and radio frequency systems and facilities.Unique in its scope and its approach, The Communications Facility Design Handbook describes the important steps required to take a project from basic design to installation and completion. From the fundamental principles of electronics to details on wiring, from budget analysis to safety considerations, this is your one-stop reference for planning, building, renovatTable of ContentsElectronics Fundamentals. Modulation Systems. Analog and Digital Circuits. Systems Engineering. Facility Construction Issues. System Reliability. Safety Considerations. Dictionary, Reference Data and Tables.

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Book SynopsisAdditive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing.Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observatioTable of ContentsProbability and Statistics. Classical and Modern Approaches to Signal Detection Theory. Main Characteristics of Multiplicative Noise. Statistical Characteristics of Signals under an Action of the Multiplicative Noise. Main Theoretical Principles of the Generalized Approach to Signal Processing under an Action of the Multiplicative Noise. Generalized Approach to Signal Processing under an Action of the Multiplicative Noise and Linear Systems. Generalized Approach to Signal Detection in the Multiplicative and Additive Gaussian Noise. Signal Parameter Measurement Precision. Signal Resolution under the Generalized Approach to Signal Processing Noise . Appendices. Notation Index. Index.

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Book SynopsisNonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing components, from data traffic modeling and image enhancement to cutting edge applications in genomics. All of the chapters were contributed by well-known theorists and application-driven researchers who explore current and emerging nonlinear methods Table of ContentsEnergy Conservation in Adaptive Filtering. Fuzzy Methods in Nonlinear Signal Processing: Part I - Theory. Fuzzy Methods in Nonlinear Signal Processing: Part Ii - Applications. Time-Frequency Wigner Distribution Approach to Differential Equations. Weighted Myriad Filters. Data Traffic Modeling - A Signal Processing Perspective. Nonlinear Adaptive Filters for Acoustic Echo Cancellation in Mobile Terminals. Blind and Semi-Blind Channel Estimation. Bayesian Image and Video Enhancement Using a Non-Gaussian Prior. Statistical Image Modeling and Processing Using Wavelet Domain Hidden Markov Models. Self-Organizing Maps and their Applications in Image Processing, Information Organization, and Retrieval. Nonlinear Techniques for Color Image Processing. Genetic Regulatory Networks: A Nonlinear Signal Processing Perspective.

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Book SynopsisThe field of microwave engineering has undergone a radical transformation in recent years, as commercial wireless endeavors overtook defense and government work. The modern microwave and RF engineer must be knowledgeable about customer expectations, market trends, manufacturing technologies, and factory models to a degree that is unprecedented. Unfortunately, most of the available literature does not reflect this fact, but remains focused on high-performance, low-volume applications.Microwave and RF Product Applications helps resolve that deficiency. Editor Mike Golio culled its chapters from his bestselling RF and Microwave Handbook, incorporated critical updates contributed by the original authors, and organized the chapters into a practical, tightly focused reference. A complete table of contents at the front of the text makes finding specific answers quick and easy, and detailed lists of references in each chapter provide convenient access to the relevant expert literature.Table of ContentsINTRODUCTION. Microwave and RF PRODUCT APPLICATIONS: Cellular Mobile Telephony. Nomadic Communications. Broadband Wireless Access: High Rate, Point to Multipoint, Fixed Antenna Systems. Digital European Cordless Telephone. Wireless Local Area Networks (WLAN). Wireless Personal Area Network Communications: An Application Overview. Satellite Communications Systems. Satellite-Based Cellular Communications. Electronic Navigation Systems. Microwave and Radio Frequency Avionics. Continuous Wave Radar. Pulse Radar. Electronic Warfare and Countermeasures. Automotive Radar. New Frontiers for RF/Microwaves in Therapeutic Medicine. CAD, SIMULATION, AND MODELING: System Simulation. Numerical Techniques for the Analysis and Design of RF/Microwave Structures. UNDERLYING PHYSICS: Maxwell's Equations. Wave Propagation in Free Space. Guided Wave Propagation and Transmission Lines. Effects of Multipath Fading in Wireless Communication Systems. Electromagnetic Interference (EMI).

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Book SynopsisIn recent years, sensor research has undergone a quiet revolution that will have a significant impact on a broad range of applications in areas such as health care, the environment, energy, food safety, national security, and manufacturing. Sensors for Chemical and Biological Applications discusses in detail the potential of chemical and biological sensors and examines how they are meeting the challenges of chem-bio terrorism by monitoring through enhanced specificity, fast response times, and the ability to determine multiple hazardous substances. Exploring the nanotechnology approach, and carrying this theme throughout the book, the chapters cover the sensing principles for, chemical, electrical, chromatographic, magnetic, biological, fluidic, optical, and ultrasonic and mass sensing systems. They address issues associated with cost, synthesis, and testing of new low cost materials with high sensitivity, selectivity, robustness, and speed for defined sensor applications. The book extensively discusses the detailed analysis of future impact of chemical and biological sensors in day-to-day life. Successful development of improved chemical sensor and biosensor systems and manufacturing procedures will not only increase the breadth and depth of the sensor industry, but will spill over into the design and manufacture of other types of sensors and devices that use nanofabrication and microfabrication techniques. This reference not only supplies versatile, hands-on tools useful in a broad array of disciplines, but also lays the interdisciplinary groundwork required for the achievement of sentient processing.Table of ContentsSolid-State Gas Sensors. Conducting Polymer and Nanocomposite Membrane as Chemical Sensors. Detection of Volatile Organic Compounds: The Role of Tetrapyrrole Pigment-Oriented Thin Films. Modeling of Surface Acoustic Wave Sensor Response. Recent Advances in the Development of Sensors for Toxicity Monitoring. Application of Electronic Noses and Tongues. Applications of Sensors in Food and Environmental Analysis. Electronic Nose Applications in Medical Diagnose. DNA Biosensor for Environmental Risk Assessment and Drugs Studies. Methods of Detection of Explosives: As Chemical Warfare Agents. Detection and Identification of Organophosphorus Compounds: As Chemical Warfare Agents. Reversible Inhibition of Enzymes for Optical Detection of Chemical Analytes. Sensing of Biowarfare Agents. Appendices.

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Book SynopsisA Complete One-Stop ResourceWhile digital color is now the technology of choice for printers, the knowledge required to address the quality and productivity issues of these devices is scattered across several technologies, as is its supporting literature. Bringing together information from diverse fields, Control of Color Imaging Systems: Analysis and Design is the first book to provide comprehensive coverage of the fundamentals and algorithms of the numerous disciplines associated with digital color printing in a single resource. The authors review the history of digital printing systems, explore its current status, and explain fundamental concepts, including: digital image formation, sampling, quantization, image coding, spot color calibration, and one- and multi-dimensional tone control of color management systems â including process physics and controls.A Complete Self-Tutorial With Over 150 Design Examples and 1Trade Review"... brings together the technical fields of imaging systems and feedback control systems in a self-contained manner. ... an excellent addition to the literature on the analysis and design of color-imaging systems. It should be recommended to anyone who wants to become familiar with state-of-the-art techniques in these areas."-- Daniel Viassolo, Vestas Technology R&D, Power Plant Department, Houston, Texas Table of ContentsPreface. Acknowledgments. An Overview of Digital Printing Systems. Fundamentals of Digital Image Processing. Mathematical Foundations. State-Variable Representation. Closed-Loop System Analysis and Design. Interpolation of Multidimensional Functions. Three-Dimensional Control of Color Management Systems. One-Dimensional, Two-Dimensional, and Spot-Color. Management and Control Methods. Internal Process Controls. Printing System Models. Appendices (A-C). Index.

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Book SynopsisThere are several families of DC/DC converters comprising hundreds of different topologies. Sorting through the various properties and characteristics is obviously a daunting task. Culled from the pages of the groundbreaking Advanced DC/DC Converters, this book provides a focused, concise overview of more than 50 topologies of multi-quadrant converters. All aspects of these topologies are illustrated through designs developed by the authors through the years. The book begins with multiple-quadrant converters followed by switched component (SC and SI) converters, multiple-lift push-pull switched-capacitor converters, and finally, multiple-quadrant soft-switching converters.Table of ContentsMultiple Quadrant Operating Luo-Converters. Switched Component Converters. Positive Output Multiple-Lift Push-Pull Switched-Capacitor Luo-Converters. Negative Output Multiple-Lift Push-Pull Switched-Capacitor Luo-Converters. Multiple Quadrant Soft-Switch Converters.

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Book SynopsisDriven by a combination of technological improvements and commercial pressure, interest in IPTV services has increasingly grown. IPTV refers to the use of the Internet protocol required for delivery of television content. IPTV represents an emerging technology that could change the manner in which homes receive entertainment, personal computers operate, and people use cell phones.Beginning with a comprehensive introduction, Understanding IPTV examines concepts, applications, and possible impacts of IPTV. The book covers market drivers and developing IPTV infrastructure. It explains television concepts, including several popular compression standards, and considers the TCP/IP protocol suite. It also identifies so-called last mile solutions and details the operation and utilization of hardware and software components required to view television content delivered over different types of IP networks. The author addresses the industry players and alliances, providing an understanTable of ContentsIntroduction to IPTV. Market Drivers and Developing Iptv Infrastructure. Television Concepts. The TCP/IP Protocol Suite and IPTV. Last Mile Solutions. Hardware Components. Software Solutions. Using IPTV.

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Book SynopsisBridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and transferring human skills. They also cover modeling continuous and discontinuous human control strategy and discuss simulation studies and practical real-life situations.The book examines how to model two main aspects of human behavior: reaction skills and action skills. It begins with a discussion of the various topics involved in human reaction skills modeling. The authors apply machine learning techniques and statistical analysis to abstracting models of human reaction control strategy. They contend that such models can be learned sufficiently to emulate complex human control behaviors in the feedback loop. The second half of thTable of ContentsIntroduction. Introduction to Human Reaction Skill Modeling. Leaning of Human Control Strategy: Continuous and Discontinuous. Validation of Human Control Strategy Models. Evaluation of Human Control Strategy. Performance Optimization of Human Control Strategy. Transfer of Human Control Strategy. Transferring Human Navigational Skills to Smart Wheelchair. Introduction to Human Action Skill Modeling. Global Parametric Methods for Dimension Reduction. Local Methods for Dimension Reduction. A Spline Smoother in Phase Space for Trajectory Fitting. Analysis of Human Walking Trajectories for Surveillance. Modeling of Facial and Full-Body Actions. Conclusions.

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Book SynopsisThe days of troubleshooting a piece of gear armed only with a scope, voltmeter, and a general idea of how the hardware works are gone forever. As technology continues to drive equipment design forward, maintenance difficulties will continue to increase, and those responsible for maintaining this equipment will continue to struggle to keep up.The Electronic Systems Maintenance Handbook, Second Edition establishes a foundation for servicing, operating, and optimizing audio, video, computer, and RF systems. Beginning with an overview of reliability principles and properties, a team of top experts describes the steps essential to ensuring high reliability and minimum downtime. They examine heat management issues, grounding systems, and all aspects of system test and measurement. They even explore disaster planning and provide guidelines for keeping a facility running under extreme circumstances.Today more than ever, the reliability of a system can have a direct and immediate impact on the profitability of an operation. Advocating a carefully planned, systematic maintenance program, the richly illustrated Electronic Systems Maintenance Handbook helps engineers and technicians meet the challenges inherent in modern electronic equipment and ensure top quality performance from each piece of hardware.Trade Review"…should take its place as a fundamental work in general engineering reference…The handbook shares the very fine organization and multiple access points of other recent CRC Press handbooks…"-Science & Technology Librariesd take its place as a fundamental work in general engineering reference…The handbook shares the very fine organization and multiple access points of other recent CRC Press handbooks…"-Science & Technology LibrariesTable of ContentsProbability and Statistics. Electronic Hardware Reliability. Software Reliability. Thermal Properties. Heat Management. Shielding and EMI Considerations. Resistors and Resistive Materials. Capacitance and Capacitors. Inductors and Magnetic Properties. Printed Wiring Boards. Hybrid Microelectronics Technology. Surface Mount Technology. Semiconductor Failure Modes. Power System Protection Alternatives. Facility Grounding. Network Switching Concepts. Network Communication. Data Acquisition. Computer-Based Circuit Simulation. Audio Frequency Distortion Mechanisms and Analysis. Video Display Distortion Mechanisms and Analysis. Radio Frequency Distortion Mechanisms and Analysis. Digital Test Equipment and Measurement Systems. Fourier Waveform Analysis. Computer Based Signal Analysis. Systems Engineering Concepts. Disaster Planning and Recovery. Safety and Protection Systems. Conversion Tables. Index

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Book SynopsisExploring the design and use of micro- and meso-actuators, this book begins with theory and a general synopsis of the state-of-the-art in theoretical research. It discusses how to employ modern approaches in research and design activity, then presents a systematic list of already available products and details their potential for use. Design possibilities based on new technologies are clearly separated from those due to scale reduction, aiding in the selection of proper technology. The author takes a multi-physic approach to guarantee a comprehensive modeling technique, while the many references to experimental data and to existing microacutators assure an effective applicability of proposed theories.Table of ContentsIntroduction. Models of Phenomena. Fundamental Knowledge. Coupled Field. Deepening Some Theoretical Problems. From Phenomena to Actuation. Elementary Models. Full Models. From Mesoactuators to Microactuators. Definitions and Discussions. Complete Examples from Idea to Prototype. State of the Art. Mesoactuators. Microactuators. Summary. References. Appendices.

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Book SynopsisToday, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use.While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both securing the AI system itself and using AI to achieve security It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered

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Book SynopsisSocial Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various industries. It illustrates how social media analytics can help firms build transformational strategies and cope with the challenges of social media technology. By focusing on the relationship between social media and other technology models, such as wisdom of crowds, healthcare, fintech and blockchain, machine learning methods, and 5G, this book is able to provide applications used to understand and analyze the impact of social media. Various industries are called out and illustrate how social media analytics can help firms build transformational strategies and at the same time cope with the challenges that are part of the landscape. The book discusses how social media is a driving force in shaping consumer behavior and spurring innovations by embracing and dire

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Book SynopsisDetection of Optical Signals provides a comprehensive overview of important technologies for photon detection, from the X-ray through ultraviolet, visible, infrared to far-infrared spectral regions. It uniquely combines perspectives from many disciplines, particularly within physics and electronics, which are necessary to have a complete understanding of optical receivers.This interdisciplinary textbook aims to: Guide readers into more detailed and technical treatments of readout optical signals Give a broad overview of optical signal detection including terahertz region and two-dimensional material Help readers further their studies by offering chapter-end problems and recommended reading. This is an invaluable resource for graduate students in physics and engineering, as well as a helpful refresher for those already working with aerospace sensors and systems, remote sensing, thermal imaging, military imaging, optical telec

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Book SynopsisArtificial intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups in society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynistic, homophobic, racist, ageist, transphobic, or ableist outcomes. This book encourages the reader to take a step back to see how AI is impacting diverse groups of people and how diversity-awareness strategies can impact AI.Trade Review"The book is written in a really approachable way for non-specialists and will engage introductory and interdisciplinary audiences. The sections on gender and queering AI are particularly strong, and the book is a highly worthy and important contribution for those chapters alone." --Ashley Shew, Associate Professor, Virginia TechTable of Contents1.Opening the Black Box of AI. 2. Gendered AI: performativity, expectations, and sexism. 3. Queering AI: gender expression, identity, and binaries. 4. AI and Race: recognition, bias, and systemic issues. 5. Bodies and AI: Health, ageing, and disabilities. 6. AI and Class: socioeconomic issues reproduced by technology. 7. Intersectionality and Responsible AI.

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Book SynopsisThis book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems<Table of ContentsPart A: Artificial Intelligence & Cognitive Computing : Theory &Concept 1. Introduction to AI. 2. Practical Approach of Fuzzy Logic Controller. 3. A Practical Approach to Neural Network Models. 4. Introduction to Genetic Algorithm. 5. Modeling of ANFIS (Adaptive Fuzzy Inference System) System. 6. Machine Learning Techniques for Cognitive Modeling Part B: Artificial Intelligence & Cognitive Computing : Practices 7. Parametric Optimization of N Channel JFET using Bio Inspired Optimization Techniques. 8. AI based Model of Clinical and Epidemiological Factors for COVID19. 9. Fuzzy Logic Based Parametric Optimization Technique of Electro Chemical Discharge Micro-Machining (µ-CDM) Process during Micro-Channel Cutting on Silica Glass. 10. Study of ANFIS model to Forecast the Average Localization Error (ALE) with Applications to Wireless Sensor Networks (WSN). 11. Performance Estimation of Photovoltaic Cell using Hybrid Genetic Algorithm & Particle Swarm Optimization. 12. Bio inspired Optimization based PID Controller Tuning for a Non-Linear Cylindrical Tank System. 13. A Hybrid Algorithm Based on CSO & PSO for Parametric Optimization of Liquid Flow model. 14. Modelling of Improved Deep Learning Algorithm for Detection of Type 2 Diabetes. 15. Human Activity Recognition (HAR), Prediction & Analysis using Machine Learning

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Book SynopsisProgramming Language Explorations helps its readers gain proficiency in programming language practice and theory by presenting both example-focused, chapter-length explorations of fourteen important programming languages and detailed discussions of the major concepts transcending multiple languages. A language-by-language approach is sandwiched between an introductory chapter that motivates and lays out the major concepts of the field and a final chapter that brings together all that was learned in the middle chapters into a coherent and organized view of the field.Each of the featured languages in the middle chapters is introduced with a common trio of example programs and followed by a tour of its basic language features and coverage of interesting aspects from its type system, functional forms, scoping rules, concurrency patterns, and metaprogramming facilities. These chapters are followed by a brief tour of over 40 additional languages designed to enhance the reade

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Book SynopsisDeepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.Table of Contents1. Introduction to DeepFake technologies 2. DeepFakes: A Systematic Review and Bibliometric Analysis 3. Deep Learning Techniques for Creation of DeepFakes 4. Analyzing DeepFakes Videos by face warping artifacts 5. Development of image translating model to counter Adversarial attacks 6. Detection of DeepFakes using local features and Convolutional Neural Network 7. DeepFakes: Positive Cases 8. Threats and challenges by DeepFake Technology 9. DeepFakes, media, and societal impacts 10. Fake News Detection using Machine Learning 11. Future of DeepFakes & Ectypes

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Book SynopsisEducators, are you ready to meet the challenge of cultivating the next generation of engineers in a post-COVID-19 context? Current engineering student cohorts are unique to their predecessors: they are more diverse and have experienced unprecedented disruption to their education due to the COVID-19 pandemic. They will also play a more significant role in contributing to global sustainability efforts. Innovating engineering education is of vital importance for preparing students to confront societyâs most significant sustainability issues: our future depends on it. Advancing Engineering Education Beyond COVID: A Guide for Educators offers invaluable insights on topics such as implementing active-learning activities in hybrid modes; developing effective and engaging online resources; creating psychologically safe learning environments that support academic achievement and mental health; and embedding sustainability within engineering education. Studentsâ own perspectives of online learning are also incorporated, with the inclusion of a chapter authored by undergraduate engineering students. This book consolidates the expertise of leading authorities within engineering education, providing an essential resource for educators responsible for shaping the next generation of engineers in a post-COVID-19 world.

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Book SynopsisThe text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of Table of ContentsChapter 1 Cyber Security Control Systems for Operational TechnologyS.SRIRAM Chapter 2 Cyber Security Ecosystem and Essentials for Modern Technology World Dr.S.S. Aravinth, K.Venkata Rama Bhagavath, Kothalanka kavyasri, Dr.J. Senthilkumar Chapter 3 Smart Manufacturing in Industry 4.0 using Computional IntelligenceDr G REVATHY, Dr K SELVAKUMAR Chapter 4 Heterogeneous Data Management in IoT based Healthcare Systems Geetanjali Kale, Kalyani Waghmare Chapter 5 Comparative study on SMS spams message detection with different machine learning methods for safety communicationN.Krishnamoorthy, Suresh Muthusamy, Seyedali Mirjalili, M.Vignesh, R.Vishnuhari, S.K.Sanjeev Raja Chapter 6 An Optimal More Than One Stage (MTOS) Authentication Model to ensure the Security in Cloud ComputingN.Krishnamoorthy, Suresh Muthusamy, K.Nirmala Devi, Seyedali Mirjalili, Essam H.Houssein, Hitesh Panchal Chapter 7 Robotic Harvesters for Strawberry and AppleAman Mahore, Abhishek Patel, Mohit Kumar, Rohit Nalawade, Kanupriya Choudhary Chapter 8 Scalability and Security Requirements for the Internet of Thing ArchitectureDr.P. Deivendran, Dr. S.Ilaiyaraja, Dr. S. Selvakanmani, Dr. K. S. Raghuram, Chapter 9 Applying Fuzzy Logics to Detect Reliable Sensors on IOTDr.M.S.Nidhya, Dr.M.Prasad, Dr.MD.Javeed Ahamed, Dr.Shaik.Bajidvali Chapter 10 Data analytics techniques and tools in smart city applicationsP.Velmurugan, M.Varsha, A.Kannagi, K. Velusamy Chapter 11 Machine learning algorithms for IoT applications Dr. R. Kavitha, Adlin Jebakumari S, Dr. K. Saravanan, K Velusamy Chapter 12 Application of IoT in smart citiesShubhangi P Chapter 13 Novel Vocal Bio maker based Biosignal Acquisition, Analysis and Diagnosis systemArchana Ratnaparkhi, Gauri Ghule, Pallavi Deshpande, Rohini Chavan, Shraddha Habbu Chapter 14 Leveraging Health Care Industry through Medical IoT- its Implementation and case studies within IndiaMr.Mohamed ABuBasim, Dr.SKaliappan, Dr.V.Shanmugasundaram , Dr.Muthukumar.S Chapter 15 Energy Efficuent Archtectures for IoT ApplicationsDr. Smrity Dwivedi, Chapter 16 Exploring Robotics Technology for Healthcare ApplicationsSwagat Kumar Samantaray Chapter 17 Design Principles, Modernization and techniques in Artificial Intelligence for IoT: Advance Technologies, Development and ChallengesP Radhika Ravi, Dr. S.Sarumathi, Ravi Ramaswamy

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Book SynopsisImage processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image prTable of ContentsPreface Volume 1. 1. Pixel Operations. 2. Spatial Filtering. 3. Edge Detection. 4. Segmentation and Processing of Binary Images. 5. Corner Detection. 6. Line Detection. Index.

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Book SynopsisThis book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science.Key Featuresâ Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science.â Presents predictive outcomes by applying data science techniques to real-life applications.â Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods.â Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields.The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

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Book SynopsisNatural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content like emotions, but also satirical expressions and applications in the healthcare field.NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restTable of ContentsPreface. Editors. Contributors. Part I Introduction. Chapter 1 Introduction to Machine Learning, Deep Learning, and Natural Language Processing. Part II Overview of Conversational Agents. Chapter 2 Conversational Agents and Chatbots: Current Trends. Chapter 3 Unsupervised Hierarchical Model for Deep Empathetic Conversational Agents. Part III Sentiment and Emotions. Chapter 4 EMOTRON: An Expressive Text-to-Speech. Part IV Fake News and Satire. Chapter 5 Distinguishing Satirical and Fake News. Chapter 6 Automated Techniques for Identifying Claims and Assisting Fact Checkers. Part V Applications in Healthcare. Chapter 7 Whisper Restoration Combining Real- and Source-Model Filtered Speech for Clinical and Forensic Applications. Chapter 8 Analysis of Features for Machine Learning Approaches to Parkinson’s Disease Detection. Chapter 9 Conversational Agents, Natural Language Processing, and Machine Learning for Psychotherapy. INDEX.

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Book SynopsisAt present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternativeTable of Contents1 Optimization of milling machine parameters by using Artificial Neural Network model; 2 Facility layout optimization: Continuous improvement; 3 Multi-criteria decision analysis applications and trends in manufacturing domain; 4 To implement Six Sigma to minimize defects in the manufacturing of draft gear of railway wagon; 5 Changeover time reduction through SMED approach: Case study of an Indian steel processing centre; 6 SWOT analysis – on maintenance frameworks for SMEs; 7 Development of maintenance framework for SMEs by an ISM approach; 8 Multi-objective parametric optimization of wire electric discharge machining for Die Hard Steels using supervised machine learning techniques; 9 Investigation of dragline productivity; 10 Lean administration in the Order-to-Cash process; 11 Modelling and analysis of Lean Six Sigma framework along with its environmental impact on the business process: A review; 12 Optimum order allocation in a multi-supplier environment using linear programming model: Case study on heavy industry in India; 13 Formulation of an optimal ordering policy with quadratic demand: Weibull distribution deterioration and partial backlogging; 14 An optimal replenishment policy with exponential declining demand: Weibull distribution deterioration and partial backlogging; 15 Smart materials advancements, applications and challenges in the shift to Industry 4.0; 16 Virtual Try On: A study on the changing dimensions of jewellery retailing through augmented reality; 17 Analysis of the barriers of blockchain adoption in Land Record System; 18 The concept of Industry 4.0: Role of ergonomics and Human Factors; 19 Carbon Nanotubes as an advanced coating material for cutting tool in sustainable production in Industry 4.0; 20 Integrating AI with Green Manufacturing for process industry; 21 Sustainable recycling methods for different types of eco-friendly cutting fluids and their characteristics: An impetus for circular economy; 22 Sustainable automobiles: Major obstacles on the path of electrifying mobility in India, existing barriers and challenges; 23 Development of heuristic DSS for supply chain architecture

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Book SynopsisAmidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of humanAI interaction with a particular focus on the human dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight inTrade Review"Don Shin has written a must-read primer for anyone considering human-AI interaction. Read this book - and learn from one of the best." -- Kerk Kee, Professor, Texas Tech University, USA"This book is a rigorous review of the field of human-algorithm interactions. It provides a guide to understanding the dynamics of AI in human contexts by addressing meaningful questions—How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? How do we bridge the gap between ethical considerations and practical realities to make responsible, reliable systems? This book is to find a way to empower humans by making AI design choices that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable a proper attribution of responsibility for humans." --Yujong Hwang, Professor, DePaul University, USA"As a prolific author and researcher, Don Shin offers an authoritative account of algorithms in interaction with people. Instead of speculative anecdotal stories, the readers get systematically and empirically grounded projections of the interplay between AI and human—how AI emerges as a powerful determinant of our cultural, economic and social lives. His research in this book is exemplary, inspiring, and interesting, speaking to multifaceted issues but with one underlying concern about the future role of AI." --Yong Jin Park, Author The Future of Digital Surveillance, Howard University and BKC Harvard UniversityTable of Contents1. Algorithmic Experience 2. Algorithmic Awareness 3. Algorithmic Nudge 4. Algorithmic Credibility 5. Algorithmic Bias 6. Explainable Algorithms 7. Algorithmic Journalism 8. Human-Centered AI

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Book SynopsisBy proposing and forming a mobile manipulator for modern multi-floor buildings, A Robotic Framework for the Mobile Manipulator: Theory and Application helps readers visualize an end-to-end workflow for making a robot system work in a targeted environment. From a product-oriented viewpoint, this book is considered as a bridge from theories to real products, in which robotic software modules and the robotic system integration are mainly concerned. In the end, readers will have an overview of how to build and integrate various single robotic modules to execute a list of designed tasks in the real world, as well as how to make a robot system work independently, without human interventions. With references and execution guidelines provided at the end of each chapter, the book will be a useful tool for developers and researchers looking to expand their knowledge about the robotics and the robotic software.Table of Contents1. Introduction 2. Task-Oriented Robot System Proposal 3. Robot System Analysis 4. Mobile Robot Navigation 5. Manipulator Manipulation 6. Robot Perception 7. Robot System Integration

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Book SynopsisThe book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals ofTable of ContentsChapter 1 A Review Approach on Deep Learning Algorithms in Computer VisionChapter 2 Object Extraction from Real Time Color Images Using Edge Based ApproachChapter 3 Deep Learning Techniques for Image Captioning Chapter 4 Deep Learning Based Object Detection for Computer Vision Tasks: A Survey of Methods & Applications Chapter 5 Deep Learning Algorithms for Computer Vision: A Deep Insight into Principles and Applications Chapter 6Handwritten Equation Solver Using Convolutional Neural Network Chapter 7Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators Chapter 8A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations Chapter 9Comparison of Image Based and Audio Based Techniques for Bird-Species Identification Chapter 10Detection of Ichthyosis Vulgaris Using SVM Chapter 11Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach Chapter 12Deep Learning Based Automatic Image Caption Generation for Visually Impaired People Chapter 13Empirical Analysis of Machine Learning Techniques Under Class Imbalance and Incomplete DatasetsChapter 14 Gabor Filter As Feature Extractor in Anomaly Detection from Radiology Images Chapter 15Discriminative Features Selection from Zernike Moments for Shape Based Image Retrieval SystemChapter 16Corrected Components of Zernike Moments for Improved Content Based Image Retrieval: A Comprehensive StudyChapter 17Translate And Recreate Text in An Image Chapter 18Multi-Label Indian Scene Text Language Identification: Benchmark Dataset and Deep Ensemble BaselineChapter 19AI Based Wearables for Healthcare Applications: A Survey of Smart Watches Chapter 20Nature Inspired Computing for Optimization Chapter 21Automated Smart Billing Cart for Fruits

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Book SynopsisCloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities.Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.

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Book SynopsisArtificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.Features: A diverse collection of important and cutting-edge topics covered in a single volume Several chapters on cybersecurity, an extremely active research area Recent research results from leading researchers and some pointers to future advancements in methodology Detailed experimental results obtained from standard data sets This book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.

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Book SynopsisThis book offers a thorough exploration of the three-dimensional integration of resistive memory in all aspects, from the materials, devices, array-level issues, and integration structures to its applications. Resistive random-access memory (RRAM) is one of the most promising candidates for next-generation nonvolatile memory applications owing to its superior characteristics including simple structure, high switching speed, low power consumption, and compatibility with standard complementary metal oxide semiconductor (CMOS) process. To achieve large-scale, high-density integration of RRAM, the 3D cross array is undoubtedly the ideal choice. This book introduces the 3D integration technology of RRAM, and breaks it down into five parts:1: Associative Problems in Crossbar array and 3D architectures;2: Selector Devices and Self-Selective Cells; 3: Integration of 3D RRAM; 4: Reliability Issues in 3D RRAM; 5: Applications of 3D RRAM beyond Storage.The book aspires to provide a relevant reference for students, researchers, engineers, and professionals working with resistive random-access memory or those interested in 3D integration technology in general.

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Book SynopsisThe tenth edition of Hall and Greeno''s leading textbook has been reviewed and updated in relation to the latest building, wiring and water regulations, new technology and new legislation. For this edition, new updates include electric vehicle charging, overheating in buildings, waste water treatment, energy performance certification, mechanical ventilation, food waste recycling, electro-magnetic lifts, biogas processing and much more.Building Services Handbook summarises the application of all common elements of building services practice, technique and procedure to provide an essential information resource for students as well as practitioners working in building services, building management and the facilities administration and maintenance sectors of the construction industry. Information is presented in a highly illustrated and accessible style.The comprehensive reference for all construction and building services students, Building Services Handbook Table of Contents1. Introduction 2. Cold Water Supply Systems 3. Hot Water Supply Systems 4. Heating Systems 5. Fuel Characteristics and Storage 6. Ventilation Systems 7. Air Conditioning 8. Drainage Systems, Sewage Treatment and Refuse Disposal 9. Sanitary Fitments and Appliances: Discharge and Waste Systems 10. Gas Installation, Components and Controls 11. Electrical Supply and Installations 12. Mechanical Conveyors - Lifts, Escalators and Travelators 13. Fire Prevention and Control Services 14. Security Installations 15. Accommodation for Building Services 16. Alternative and Renewable Energy 17. Appendices: Glossary of Common Abbreviations; Graphical Symbols for Pipe Work; Identification of Pipe Work; Graphical Symbols for Electrical Installation Work; Metrication, Introduction, Background and Development; Conversion of Common Imperial Units to Metric; Notation on Building Services Drawings

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Book Synopsis This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible.FeaturTable of Contents1. Composite Professional. 2. Professionalism in Practice. 3. Legal Systems Relevant to Engineering and Information Technology. 4. Leadership Practice.5. Effective Communication Skills. 6. Professional Practice in Reflection. 7. Creativity and Innovation. 8. Engineering Risk and Safety in Engineering Desi n. 9. Sustainable Design. 10. Contemporary Issues in Management. 11. Digital Transformation and AI. 12. Career Development

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Book SynopsisThis book explores different facets of millimeter wave systems, which form a central part of 5G systems. It explains how these systems serve as a foundational building block of 5G-Advanced/6G as these systems evolve.Millimeter Wave Communications in 5G and Towards 6G focuses on millimeter wave channel modeling, radio frequency (RF) and antenna level constraints imposed on beamforming, beamforming design for link level incorporating the RF/antenna constraints and the channel structure, as well as system level deployment considerations. With significant academic and industrial experience, the authors are well-equipped in explaining how the millimeter wave research developed, the fundamental principles/math beneath the technology, and in explaining precisely the Why? behind the What? that make the 5G-NR specifications. The authors examine point-to-point systems at a single link level and show how the traditional sub-6 GHz-based beamforming procedures simplify to a simplis

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Book SynopsisThe best way to learn design in any field is to study examples, and some of the best examples of software design come from the tools programmers use in their own work. Software Design by Example: A Tool-Based Introduction with Python therefore builds small versions of the things programmers use in order to demystify them and give some insights into how experienced programmers think. From a file backup system and a testing framework to a regular expression matcher, a browser layout engine, and a very small compiler, we explore common design patterns, show how making code easier to test also makes it easier to reuse, and help readers understand how debuggers, profilers, package managers, and version control systems work so that they can use them more effectively.This material can be used for self-paced study, in an undergraduate course on software design, or as the core of an intensive weeklong workshop for working programmers. Each chapter has a set of exercises ranging in siz

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Book SynopsisThis book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students, and industry professionals in the fields of machine learning, deep learning, AI, sensing, computer vision, and sensors.

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