Sangita S Chaudhari – författare

Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing.

Features:

A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing Advanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domain Outcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques Code snippets of the computational intelligence algorithm/techniques used in image and video processing

This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing.

Features:

A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing Advanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domain Outcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques Code snippets of the computational intelligence algorithm/techniques used in image and video processing

This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain.

FEATURES

Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms

Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics

Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems

Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data

This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain.

FEATURES

Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms

Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics

Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems

Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data

This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing.Features:A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processingAdvanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domainOutcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniquesCode snippets of the computational intelligence algorithm/techniques used in image and video processingThis book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain.FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial dataThis book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain.FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial dataThis book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing.Features:A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processingAdvanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domainOutcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniquesCode snippets of the computational intelligence algorithm/techniques used in image and video processingThis book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.• Presents cognitive modeling in machine consciousness and human cognition.• Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.• Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.• Explains the foundation, framework, and applications of cognition based smart computing in a single volume.• Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

In recent years, Internet of Things (IoT) has reshaped the whole tech-industry into a smart industry with a capability of intelligent decision- making. However, security, privacy, and interoperability of the connected devices are still the challenges faced by the IoT industry. Blockchain capabilities can help in addressing these challenges. The convergence of Blockchain and IoT named as Blockchain of Things (BCoT) is a major technical breakthrough that provides basic services with additional functionalities, benefits, and implementations in terms of secure, seamless, and autonomous computing environment. The amalgamation of Blockchain and IoT provides benefits in terms of improved and efficient qualities such as interoperability, reliability, scalability, privacy, and security of IoT.The main objective of this book is to provide academicians, researchers, and practitioners a common platform for understanding current state-of-the-art development in techniques/ technologies from Blockchain and its integration with IoT. All the aspects such as theoretical and practical contributions, simulated works, review, and case studies will be available to the reader which will provide them with a comprehensive guideline to extend the state-of-the-art by developing novel methods for providingsolutions for the Blockchain of things. This book:Covers comprehensive and deep understanding of usage of Blockchain for powering up IoT systems.Discusses the latest advancements in architecture, key technologies, security, privacy, service models, and frameworks for Blockchain of things.Covers Blockchain consensus algorithms specialized for IoT architectures.Illustrates key case studies based on inherent integration of Blockchain and IoT in various application domains.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.* Presents cognitive modeling in machine consciousness and human cognition.* Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.* Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.* Explains the foundation, framework, and applications of cognition based smart computing in a single volume.* Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

In recent years, Internet of Things (IoT) has reshaped the whole tech-industry into a smart industry with a capability of intelligent decision- making. However, security, privacy, and interoperability of the connected devices are still the challenges faced by the IoT industry. Blockchain capabilities can help in addressing these challenges. The convergence of Blockchain and IoT named as Blockchain of Things (BCoT) is a major technical breakthrough that provides basic services with additional functionalities, benefits, and implementations in terms of secure, seamless, and autonomous computing environment. The amalgamation of Blockchain and IoT provides benefits in terms of improved and efficient qualities such as interoperability, reliability, scalability, privacy, and security of IoT.The main objective of this book is to provide academicians, researchers, and practitioners a common platform for understanding current state-of-the-art development in techniques/ technologies from Blockchain and its integration with IoT. All the aspects such as theoretical and practical contributions, simulated works, review, and case studies will be available to the reader which will provide them with a comprehensive guideline to extend the state-of-the-art by developing novel methods for providingsolutions for the Blockchain of things. This book: Covers comprehensive and deep understanding of usage of Blockchain for powering up IoT systems. Discusses the latest advancements in architecture, key technologies, security, privacy, service models, and frameworks for Blockchain of things. Covers Blockchain consensus algorithms specialized for IoT architectures. Illustrates key case studies based on inherent integration of Blockchain and IoT in various application domains.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.* Presents cognitive modeling in machine consciousness and human cognition.* Covers artificial intelligence (AI) and its applications in machine self-learning, human-computer interaction, natural language (NL) processing, cognitive models, and architectures.* Discusses machine learning (ML) and cognitive computing for mobile communications, and wireless networks.* Explains the foundation, framework, and applications of cognition based smart computing in a single volume.* Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.