Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

Sustainability has become an unavoidable topic in modern society. In order for sustainable development to be fully achieved, it must be integrated into the planning and measurement systems of business enterprises. Green Initiatives for Business Sustainability and Value Creation is an essential reference source including the most recent scholarly research on the development and application of green business models for contemporary organizations, with a focus on possible contexts and constructs of closed loop supply chain management. Featuring extensive coverage on topics such as consumption behavior, political economy, and structural modeling, this book is ideally designed for academicians, researchers, and professionals seeking current research on the importance of strategic green business practices.

Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. The Handbook of Research on Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

This volume contains selected papers from the Second Quadrennial International Conference on Structural Integrity (ICONS-2018). The papers cover important topics related to structural integrity of critical installations, such as power plants, aircrafts, spacecrafts, defense and civilian components. The focus is on assuring safety of operations with high levels of reliability and structural integrity. This volume will be of interest to plant operators working with safety critical equipment, engineering solution providers, software professionals working on engineering analysis, as well as academics working in the area.

This manual is a comprehensive guide to radiological imaging for the diagnosis of diseases and disorders in children. The fourth edition has been fully revised and features many new topics, providing the latest advances in the field. Divided into 35 chapters, the book covers all the main imaging modalities - CT, MRI, ultrasound and digital radiography, and their use in the diagnosis of disorders in different body systems. Numerous radiological images, tables and boxes further enhance the extensive text. Key points Comprehensive guide to radiological imaging in children Fully revised, fourth edition, featuring many new topics and latest advances Covers all the main imaging modalities accompanied by radiological photographs, tables and boxes Previous edition (9789350252055) published in 2011

This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms. An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.

Model-based fault detection and isolation requires a mathematical model of the system behaviour. Modelling is important and can be difficult because of the complexity of the monitored system and its control architecture. The authors use bond-graph modelling, a unified multi-energy domain modelling method, to build dynamic models of process engineering systems by composing hierarchically arranged sub-models of various commonly encountered process engineering devices. The structural and causal properties of bond-graph models are exploited for supervisory systems design.

The structural properties of a system, necessary for process control, are elegantly derived from bond-graph models by following the simple algorithms presented here. Additionally, structural analysis of the model augmented with available instrumentation indicates directly whether it is possible to detect and/or isolate faults in some specific sub-space of the process. Such analysis aids in the design and resource optimization of new supervision platforms.

Static and dynamic constraints, which link the time evolution of the known variables under normal operation, are evaluated in real time to determine faults in the system. Various decision or post-processing steps integral to the supervisory environment are discussed in this monograph; they are required to extract meaningful data from process state knowledge because of unavoidable process uncertainties. Process state knowledge has been further used to take active and passive fault accommodation measures.

Several applications to academic and small-scale-industrial processes are interwoven throughout. Finally, an application concerning development of asupervision platform for an industrial plant is presented with experimental validation.

Model-based Process Supervision provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data.

This book is a comprehensive guide to imaging techniques for the diagnosis and management of genitourinary disorders. Divided into five key sections, the text covers diagnostic imaging of the urinary tract and the genital tract in both men and women. This fourth edition has been fully revised to provide clinicians with the latest advances and techniques in the field. New chapters on radiological anatomy and novel imaging techniques have been included. Latest guidelines and systematic-algorithms are covered to assist understanding and simplify diagnostic reporting. Radiological images, diagrams and figures further enhance the thorough text. Key points Comprehensive guide to diagnostic imaging techniques for genitourinary diseases and disorders Fully revised, fourth edition detailing latest advances in the field Includes new chapters on radiological anatomy and novel imaging techniques Previous edition (9788184486827) published in 2009

The United Nations predicts that by the year 2025, two-thirds of the world’s population will face water scarcity. Further, the planet would have well over eight billion people, the majority of whom would live in developing countries, where more than 80% of those are already experiencing water scarcity. Therefore, there is an urgent need for wastewater recycling to help solve issues of scarcity and to facilitate better management of generated wastewater. Water recycling includes reuse and treatment of municipal wastewater, which could be a sustainable approach for environmental sustainability and could also help to offset the increasing water demands for irrigation and industrial and other needs. Currently, water and wastewater treatment facilities consume large amounts of energy that are mainly generated through the use of fossil fuels. Solar Powered Wastewater Recycling examines how solar power can be implemented as an integrated approach whereby all the energy needs of the water and wastewater sector could be supplemented by renewable technologies, and in which a synergy can be developed between water and energy.

Cyanobacteria, the ancient photoautotrophs on the Earth have always been regarded as the most important organism to sustain life in the planet. They are among the first pioneering communities on various harsh habitat, hydrarch or xerarch, which finally facilitate the emergence of vast communities including higher plants. Being the progenitor of chloroplast, the cyanobacterial metabolisms has always fascinated microbiologist. Additionally, the ability of these prokaryotes to produce valuable and prolific sources of natural products signified their role in array of industrial sectors. Further, the attempts to engineer the cyanobacterial metabolisms in way to enhance production of these metabolites are gradually increasing. Therefore, in this book, we proposed to accumulate the knowledge of cyanobacterial metabolisms and molecules as an asset for students, researchers, and biotechnologists. Cyanobacteria: Metabolisms to Molecules will cover diversity, fundamental metabolisms, crucial metabolities and their synthesis, and bioinformatics.

Soft computing techniques are innovative tools that use nature-inspired algorithms to run predictive analysis of industries from business to software measurement. These tools have gained momentum in recent years for their practicality and flexibility. The Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making collects both empirical and applied research in the field of fuzzy set theory, and bridges the gap between the application of soft computational approaches and the organizational decision making process. This publication is a pivotal reference for business professionals, IT specialists, software engineers, and advanced students of business and information technology.

Step by Step Radiation Therapy: Treatment and Planning is a practical guide to radiation therapy. The book covers basic principles, planning and delivery of radiation treatment in a step by step manner. Divided into 21 chapters, the book begins with the basics of radiation therapy planning. Subsequent chapters cover radiation therapy for a range of tumours, including breast, gastrointestinal, thoracic, central nervous system, genitourinary, thyroid, bone and soft tissue tumours. Other topics include the treatment of Hodgkin’s disease, irradiation of blood products and spleen, palliative radiotherapy, re-irradiation, magna field radiotherapy, and radiotherapy of non-malignant diseases. The book concludes with information on emergency radiotherapy, management of side-effects, and teletherapy instruments. Step by Step Radiation Therapy: Treatment and Planning provides information on the most recent advances in the field of radiation therapy, enhanced by full colour illustrations throughout the book, making this an essential resource for postgraduate trainees and oncologists. Key points Practical guide to basic principles, planning and delivery of radiation therapy Covers therapy for a wide range of tumours Information on recent advances in radiation therapy Full colour illustrations throughout

This book addresses the various factors affecting fluvial systems, the processes governing them, system responses arising from human-nature interventions, and geospatial and geo-ecological modeling to understand system behaviour better and restore degraded ecosystems around the globe. Thanks to their hydrological and agro-ecological advantages, humans have settled along riverbanks since the dawn of civilization. Thus, the ancient "ecumene" (settlements) were located near major rivers worldwide. This legacy of river-based civilizations continues to this day in many forms. However, in the course of the 'Anthropocene' era, countless fluvial systems have been altered by human interventions in the form of large-scale dams and barrages, changes in land use and land cover, road-stream crossings, mining of sand and gravel, mushrooming of brickfield, expansion of modern agriculture, industrial growth, and urbanization. Thus, the present-day development pattern threatens fluvial systems, especially riverine morphology and ecosystems. In brief, human-induced morphological changes, water pollution, eutrophication, and related damages to aquatic organisms are the major threats to fluvial systems. Thus, maintaining the 'environmental flow' of the world's major rivers to preserve the proper functioning of riverine ecosystems and promote sustainable development is a global challenge.

The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

With the increase in the development of the advanced cellular communication system, it is assumed that several sectors, such as the health industry, education, transport industry, business model, and so on, will rapidly grow. However, the requirements of the above-mentioned sectors are different and difficult to fulfill. Hence, 5G will be integral to several networks and will also need a unique management system for its successful rollout around the globe. 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment provides an overview of the role of advanced technologies in transforming the healthcare industry. It emphasizes the technical requirements of smart hospitals and the technologies associated with them along with explaining how technologies such as IoT, machine learning, and AI can be integrated with smart hospitals and 5G networks. The book evaluates several concerns such as privacy of data, infrastructure costs, and regular upgradability of technologies. Since the storage of information is a major concern with the implantation of 5G-base hospitals, this book will specifically address those issues along with examining the potential pitfalls of 5G-based hospitals and the factors that cause their failures. This book specifically targets professionals, academicians, engineers, researchers, management firms, technical institutes, R&D establishments, and individuals researching in the fields of 5G, healthcare, medical sensors, IoT, big data, and related fields. The main objectives of this book are to accumulate state-of-the-art IoT, 5G, AI, and machine learning-based approaches for resolving healthcare problems.

Explains the major technologies in the area including fundamental concepts and applications Discusses design to simulation, from mathematical modeling to technology deployment Provides optimum solution possibilities for charging infrastructure. Explores multistage charging system evaluations and their possible implementations, and introduces efficient wireless charging possibilities and optimization of charging locations Includes challenges and opportunities posed by the progressive integration of electric drive vehicles.