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Books in Computer vision and pattern recognition

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    • Smart City Computational Paradigms

      • 1st Edition
      • March 1, 2026
      • Mohit Kumar + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 7 2 6 9
      • eBook
        9 7 8 0 4 4 3 2 7 7 2 7 6
      The smart city paradigm combines smart homes, smart healthcare, smart transportation, smart industry, smart environment, and smart energy to ensure sustainability, well-being and comfortable living within the urban environment for the city's citizens. IoT enables computational intelligence to leverage the power of data analytics, machine learning, and artificial intelligence to extract meaningful insights from the vast amount of data generated by IoT devices. This synergy empowers connected devices to collect, process, and analyze data in real-time, enabling informed decision-making and predictive insights. Through adaptive algorithms and edge computing, the system can autonomously respond to changing conditions, optimize resource usage, and enhance energy efficiency. Security and anomaly detection mechanisms ensure the integrity of the IoT network, while human-machine interaction capabilities, facilitated by natural language processing, enable intuitive communication. This convergence of computational intelligence and IoT not only transforms data into actionable knowledge but also fosters the development of autonomous, efficient, and adaptive systems across diverse domains, ranging from smart cities to healthcare and industrial applications. The integration of computational intelligence with IoT enhances the capabilities of connected systems, making them smarter, more efficient, and better equipped to handle the complexities of the modern world. Smart City Computational Paradigms describes the connections between these state-of-the-art technologies and provides a comprehensive overview for readers interested in advanced technologies, identifying mentioned challenges and proposed solutions as well as developed framework. It covers the underlying theory, design techniques, classification, taxonomy and analytical tools, focusing primarily on the real time applications, uncertainty solutions and approaches with hands-on demonstration for decision making outcomes.

    • Signal Processing Roadmap

      • 1st Edition
      • March 1, 2026
      • Pushan Kumar Dutta + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 7 2 5
      • eBook
        9 7 8 0 4 4 3 3 3 1 7 3 2
      Signal Processing Roadmap: Technologies, Applications, and Future Directions presents a comprehensive exploration of innovative and advanced signal processing techniques, catering to the needs of engineers, researchers, and technologists. The book offers critical evaluations of the latest methods that drive intelligent and reliable measurement and monitoring solutions across diverse applications. Backed by practical examples, it demonstrates the real-world impact of signal processing in areas such as the Internet of Things, biomedical devices, and more. Through its forward-looking approach, the book aims to consolidate current advancements while pointing toward future opportunities and challenges in the field.In addition to covering uncertainty modeling and key signal processing considerations, the book delves into the latest developments in hybrid information system modeling, emphasizing its practical uses in fields like finance, healthcare, and engineering. Readers will find detailed case studies that illustrate how these models address complex, real-world problems. The text also thoroughly reviews foundational theories related to non-linear optimization, fuzzy sets, and rough sets.

    • Adaptive AI in Sensor Informatics

      • 1st Edition
      • January 1, 2026
      • Karthik Ramamurthy + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 1 2 9
      • eBook
        9 7 8 0 4 4 3 3 6 4 1 3 6
      Adaptive AI in wireless sensor networks is crucial for ensuring user understanding and confidence in AI outputs across fields such as healthcare, environmental monitoring, smart cities, and industrial automation. It enables compliance with regulations specific to these domains and encourages the design of user-centric AI systems that align with human values and operational requirements. Adaptive AI in Sensor Informatics: Methods, Applications, and Implications delves into the need for efficiency, interpretability, and reliability in Adaptive AI systems that are designed specifically for wireless sensor networks and related domains. It sheds light on how Adaptive AI can provide decisions made by AI models, facilitating effective collaboration between humans and AI within the context of wireless sensor networks. The book serves as a comprehensive guide for academics, professionals, and students interested in the intersection of adaptive AI and wireless sensor networks. It examines the challenges and opportunities inherent in deploying Adaptive AI in these contexts and offers practical insights into methods, approaches, and best practices for developing and deploying AI models that are both understandable and reliable within wireless sensor networks.

    • Feature Extraction and Image Processing for Computer Vision

      • 5th Edition
      • September 25, 2025
      • Mark Nixon + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 6 8 6 4
      • eBook
        9 7 8 0 4 4 3 3 6 6 8 7 1
      Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

    • Quaternion-Based Sparse Image Processing

      • 1st Edition
      • July 2, 2025
      • Satya Prakash Yadav + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 2 4 4 6
      • eBook
        9 7 8 0 4 4 3 2 9 2 4 5 3
      Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

    • Deep Learning in Action: Image and Video Processing for Practical Use

      • 1st Edition
      • March 12, 2025
      • Abdussalam Elhanashi + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 7 8 3
      • eBook
        9 7 8 0 4 4 3 3 0 0 7 9 0
      Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

    • Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City

      • 1st Edition
      • February 28, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 7 4 8
      • eBook
        9 7 8 0 4 4 3 3 4 1 7 5 5
      In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Dig... Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.

    • Digital Twin and Blockchain for Sensor Networks in Smart Cities

      • 1st Edition
      • February 25, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 7 6 9
      • eBook
        9 7 8 0 4 4 3 3 0 0 7 7 6
      Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.

    • Blockchain and Digital Twin for Smart Healthcare

      • 1st Edition
      • February 12, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 3 0 0 5
      • eBook
        9 7 8 0 4 4 3 3 0 3 0 1 2
      The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.

    • Blockchain and Digital Twin for Smart Hospitals

      • 1st Edition
      • February 1, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 2 2 6 4
      • eBook
        9 7 8 0 4 4 3 3 4 2 2 7 1
      Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.

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