Books in Computer vision and pattern recognition

1-10 of 75 results in All results

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

• 1st Edition
• March 3, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-34174-8

  9 7 8 - 0 - 4 4 3 - 3 4 1 7 4 - 8
• eBook 978-0-443-34175-5

  9 7 8 - 0 - 4 4 3 - 3 4 1 7 5 - 5

The global smart cities market size was valued at USD 1,226.9 billion in 2022 and is expected to register a compound annual growth rate (CAGR) of 25.8% from 2023 to 2030. Firstly and visually, a smart city is a city that has no traffic jams. In the smart cities, both information and communication technologies are integrated for exchanging real-time data between their citizens, governments, and organisations. Blockchain has been considered as the key driver for development of smart cities. Blockchain technology can provide high security for large communications and transactions between many stakeholders in the smart cities. In addition, digital twins are also considered as the starting key for construction of smart cities. Digital twin refers to a simulation of physical products in virtual space. This simulation makes full use of physical models/wireless sensor networks/ historical data of city operation to integrate big information (digital twin cities) under multi-discipline, multi-physical quantities, multi-scale, and multi-probability. Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Section 1 deals with their promising applications for safe and healthy cities, respectively. Section 2 covers other promising applications and current perspectives of blockchain and digital twin for future smart cities. Together with its companion volume, Digital Twin, Blockchain, and Sensor Networks in the City, this book will help us make sense of the vast amount of data around the city, and will guide us to use that data to create happy, healthy, safe and productive lives.

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

• 1st Edition
• March 1, 2025
• English
• Paperback 978-0-443-30078-3

  9 7 8 - 0 - 4 4 3 - 3 0 0 7 8 - 3
• eBook 978-0-443-30079-0

  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.

Blockchain and Digital Twin for Smart Hospitals

• 1st Edition
• February 3, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-34226-4

  9 7 8 - 0 - 4 4 3 - 3 4 2 2 6 - 4
• eBook 978-0-443-34227-1

  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 1, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-30300-5

  9 7 8 - 0 - 4 4 3 - 3 0 3 0 0 - 5
• eBook 978-0-443-30301-2

  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.

Sensor Networks for Smart Hospitals

• 1st Edition
• January 23, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-36370-2

  9 7 8 - 0 - 4 4 3 - 3 6 3 7 0 - 2
• eBook 978-0-443-36371-9

  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.

Advanced Sensors for Smart Healthcare

• 1st Edition
• January 1, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-24790-3

  9 7 8 - 0 - 4 4 3 - 2 4 7 9 0 - 3
• eBook 978-0-443-24791-0

  9 7 8 - 0 - 4 4 3 - 2 4 7 9 1 - 0

Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.

Computational Knowledge Vision

• 1st Edition
• August 19, 2024
• Wenbo Zheng + 1 more
• English
• Paperback 978-0-443-21619-0

  9 7 8 - 0 - 4 4 3 - 2 1 6 1 9 - 0
• eBook 978-0-443-21618-3

  9 7 8 - 0 - 4 4 3 - 2 1 6 1 8 - 3

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference.Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision–computational knowledge vision.

Iris and Periocular Recognition using Deep Learning

• 1st Edition
• June 12, 2024
• Ajay Kumar
• English
• Paperback 978-0-443-27318-6

  9 7 8 - 0 - 4 4 3 - 2 7 3 1 8 - 6
• eBook 978-0-443-27319-3

  9 7 8 - 0 - 4 4 3 - 2 7 3 1 9 - 3

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

Intelligent Fractal-Based Image Analysis

• 1st Edition
• May 27, 2024
• Soumya Ranjan Nayak + 3 more
• English
• Paperback 978-0-443-18468-0

  9 7 8 - 0 - 4 4 3 - 1 8 4 6 8 - 0
• eBook 978-0-443-18469-7

  9 7 8 - 0 - 4 4 3 - 1 8 4 6 9 - 7

Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlights the relevance of related application areas for advanced as well as novice-user application. The book presents core concepts, methodological aspects, and advanced feature opportunities, focusing on major, real-time applications in engineering and health science. It will appeal to researchers, data scientists, industry professionals, and graduate students.Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis.

Intelligent Algorithms

• 1st Edition
• May 25, 2024
• Han Huang + 1 more
• English
• Paperback 978-0-443-21758-6

  9 7 8 - 0 - 4 4 3 - 2 1 7 5 8 - 6
• eBook 978-0-443-21759-3

  9 7 8 - 0 - 4 4 3 - 2 1 7 5 9 - 3

Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization.The content of each chapter is supported by papers published in top journals. The book's authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.