Books in Computer vision and pattern recognition

1-10 of 76 results in All results

Quantified Automated Optical Inspection

• 1st Edition
• June 1, 2025
• Navid Asadizanjani + 1 more
• English
• eBook 978-0-443-24711-8

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Quantified Automated Optical Inspection: Fully enabling machine learning for enhanced hardware assurance outlines various inspection modalities, the growing popularity of machine learning (ML) techniques for enhanced AOI, critical bottlenecks in these approaches, and solutions that increase scalability, reliability, and accuracy of ML-based AOI techniques. As a result, readers will clearly see which trends must be updated to properly incorporate deep learning strategies given the constraints present in PCB analysis. These constraints include limited publicly available data, lack of rigor/consistency in ground truth collection, lack of result quantifiability, and limited diversity in fundamental ML approaches. Solution spaces will be explored such as enhanced generative models to quantify PCB component properties, verification against component datasheets, and codified recommendations for rigorous data aggregation and dissemination.

Digital Twin and Blockchain for Sensor Networks in Smart Cities

• 1st Edition
• March 3, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-30076-9

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• eBook 978-0-443-30077-6

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Big data from wireless sensor networks in the smart city can be integrated to accommodate the exchanging of real-time data between citizens, governments, and organisations. Blockchain technology can provide high security for large communications and transactions between many stakeholders in smart cities. Digital twins provide the use of physical models/wireless sensor networks/historical data of city operation to integrate big information under multi-discipline, multi-physical quantities, multi-scale, and multi-probability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twins and blockchain can be used in the functioning of the smart city. The book is divided into five sections. Section 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while section 2 describes their promising applications for managing the regular operations and services. Sections 3 and 4 deal with their applications for safe and healthy cities, respectively. The last section covers other promising applications and future perspectives of blockchain and digital twin in the urban environment.

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

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• eBook 978-0-443-34175-5

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Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Sections deal with promising applications for safe and healthy cities and current perspectives of blockchain and digital twins for future smart cities, helping us create happy, healthy, safe, and productive lives. 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.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.

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

• 1st Edition
• March 1, 2025
• Abdussalam Elhanashi + 1 more
• English
• Paperback 978-0-443-30078-3

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• eBook 978-0-443-30079-0

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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

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• eBook 978-0-443-34227-1

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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

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• eBook 978-0-443-30301-2

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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.

Advanced Sensors for Smart Healthcare

• 1st Edition
• January 23, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-24790-3

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• eBook 978-0-443-24791-0

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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.

Sensor Networks for Smart Hospitals

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

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• eBook 978-0-443-36371-9

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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.

Computational Knowledge Vision

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

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• eBook 978-0-443-21618-3

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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

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• eBook 978-0-443-27319-3

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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.