Skip to main content
Elsevier
View Cart
My account

Books in Computer vision and pattern recognition

BooksJournals

    • 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.

    • Computational Intelligence in Surveillance Systems Using Image Processing

      • 1st Edition
      • March 1, 2026
      • Jay Kumar Pandey + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 0 8 2
      • eBook
        9 7 8 0 4 4 3 3 6 4 0 9 9
      Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.

    • 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 explores cutting-edge and emerging signal-processing techniques across various measurement and monitoring applications, serving as an authoritative reference for engineers, researchers, and technologists. It critically analyses key signal processing considerations like uncertainty modelling that enable more intelligent and reliable next-generation measurement systems, backed by real-world implementation examples in areas ranging from Internet of Things devices to complex biomedical equipment. The book will provide an overview of the latest research in the hybrid information system modelling field, with a particular emphasis on practical applications in various fields. This includes case studies and examples of how these models have been used to solve problems in finance, healthcare, engineering, and other related fields. Additionally, the book reviews the theories and concepts related to non-linear optimization, fuzzy sets, and rough sets. Overall, Signal Processing Roadmap: Technologies, Applications, and Future Directions deals with the dual goals of consolidating the state-of-the-art and charting the future directions across the exciting applications where signal processing will continue playing a pivotal role in building intelligent, reliable, and efficient systems of the future.

    • Feature Extraction and Image Processing for Computer Vision

      • 5th Edition
      • September 22, 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.

    • Advances in Image Processing, Reliability, and Artificial Intelligence

      • 1st Edition
      • November 16, 2025
      • Mario J. Divan + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 2 6 6 0
      • eBook
        9 7 8 0 4 4 3 3 4 2 6 7 7
      Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.

    • 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.

    • 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.

    • 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.

    • Sensor Networks for Smart Hospitals

      • 1st Edition
      • January 17, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 3 7 0 2
      • eBook
        9 7 8 0 4 4 3 3 6 3 7 1 9
      Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.

Related subjects

Document and text processing