Visual Inference For Iot Systems A Practical Approach

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Visual Inference For Iot Systems A Practical Approach

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Author : Delia Velasco-Montero
language : en
Publisher: Springer Nature
Release Date : 2022-01-28

Visual Inference For Iot Systems A Practical Approach written by Delia Velasco-Montero and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-28 with Technology & Engineering categories.

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

Visual Inference For Iot Systems A Practical Approach

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Author : Delia Velasco-Montero
language : en
Publisher:
Release Date : 2022

Visual Inference For Iot Systems A Practical Approach written by Delia Velasco-Montero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

New Industry 4 0 Advances In Industrial Iot And Visual Computing For Manufacturing Processes

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Author : Luis Norberto López de Lacalle
language : en
Publisher: MDPI
Release Date : 2020-03-18

New Industry 4 0 Advances In Industrial Iot And Visual Computing For Manufacturing Processes written by Luis Norberto López de Lacalle and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-18 with Technology & Engineering categories.

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Springer Handbook Of Augmented Reality

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Author : Andrew Yeh Ching Nee
language : en
Publisher: Springer Nature
Release Date : 2023-01-01

Springer Handbook Of Augmented Reality written by Andrew Yeh Ching Nee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.

The Springer Handbook of Augmented Reality presents a comprehensive and authoritative guide to augmented reality (AR) technology, its numerous applications, and its intersection with emerging technologies. This book traces the history of AR from its early development, discussing the fundamentals of AR and its associated science. The handbook begins by presenting the development of AR over the last few years, mentioning the key pioneers and important milestones. It then moves to the fundamentals and principles of AR, such as photogrammetry, optics, motion and objects tracking, and marker-based and marker-less registration. The book discusses both software toolkits and techniques and hardware related to AR, before presenting the applications of AR. This includes both end-user applications like education and cultural heritage, and professional applications within engineering fields, medicine and architecture, amongst others. The book concludes with the convergence of AR with other emerging technologies, such as Industrial Internet of Things and Digital Twins. The handbook presents a comprehensive reference on AR technology from an academic, industrial and commercial perspective, making it an invaluable resource for audiences from a variety of backgrounds.

Intelligent Systems

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Author : João Carlos Xavier-Junior
language : en
Publisher: Springer Nature
Release Date : 2022-11-18

Intelligent Systems written by João Carlos Xavier-Junior and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Computers categories.

The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.

Smart Applications And Sustainability In The Aiot Era

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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2024-12-26

Smart Applications And Sustainability In The Aiot Era written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Science categories.

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by smart infrastructures. Smart infrastructures gather Terabytes of data nowadays with no need for traditional control. The data automatically uploads to the cloud computing platform. The cloud analyses the data and generates the required output in visualization, graph, and action. A remote access network can be constructed dependent on either low-elevation or high-altitude stages. When associated with satellite and earthly frameworks, these stages empower a far-reaching access network with worldwide inclusion and diverse administration provisioning. Data analytics are used in agriculture, mining, waste management, energy, and military defenses. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT and smart infrastructures applications. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for smart and sustainable infrastructure-related devices.

Mobile Neural Network Framework In Practice

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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24

Mobile Neural Network Framework In Practice written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.

"Mobile Neural Network Framework in Practice" "Mobile Neural Network Framework in Practice" offers an in-depth and authoritative exploration of the rapidly evolving field of mobile deep learning, delivering a comprehensive roadmap from foundational concepts to advanced deployment and optimization. Tracing the historical evolution of neural networks for mobile devices, the book methodically introduces the architectural nuances of mobile processors, the diverse landscape of neural network frameworks, and the myriad application domains—ranging from vision and speech to augmented reality and healthcare. Concrete comparisons of cloud, edge, and on-device inference illuminate both the computational challenges and practical solutions for scalable, secure, and privacy-preserving mobile AI. The text provides an expert-level examination of the architectural design patterns that empower neural networks to run efficiently on mobile and embedded hardware. Detailed analyses cover compact and efficient model architectures such as MobileNet and SqueezeNet, sophisticated techniques for model pruning, quantization, and knowledge distillation, as well as operator fusion and graph optimization for runtime acceleration. Comprehensive tutorials on training, converting, and securely deploying models across multiple platforms—including TensorFlow Lite, PyTorch Mobile, Core ML, and ONNX—empower practitioners to tackle the critical issues of compatibility, performance, and reproducibility across devices. Beyond foundational frameworks and optimizations, the book ventures into emerging paradigms and real-world case studies, including federated learning, continual on-device personalization, multi-modal model fusion, and secure deployment strategies. It concludes with rigorous methodologies for testing, profiling, and automated integration, as well as forward-looking insights into next-generation mobile AI hardware and the regulatory, ethical, and research challenges on the horizon. Whether you are a research scientist, industry practitioner, or technology leader, "Mobile Neural Network Framework in Practice" is an essential resource for mastering the state-of-the-art in mobile-centric artificial intelligence.

Relational Calculus For Actionable Knowledge

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Author : Michel Barès
language : en
Publisher: Springer Nature
Release Date : 2022-01-21

Relational Calculus For Actionable Knowledge written by Michel Barès and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Computers categories.

This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of ‘relation’ and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.

Deep Learning In Action Image And Video Processing For Practical Use

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Author : Abdussalam Elhanashi
language : en
Publisher: Elsevier
Release Date : 2025-03-12

Deep Learning In Action Image And Video Processing For Practical Use written by Abdussalam Elhanashi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Computers categories.

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. - Provides step-by-step guidance on implementing deep learning techniques, specifically for video and image processing tasks in real-world scenarios - Emphasizes lightweight and efficient approaches to deep learning, ensuring that readers learn techniques that are suited to resource-constrained environments - Covers a wide range of real-world applications, such as object detection, image segmentation, video classification - Offers a comprehensive understanding of how deep learning can be leveraged across various domains - Encourages hands-on experience that can be applied to the concepts to existing projects

Mining Biomedical Text Images And Visual Features For Information Retrieval

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Author : Sujata Dash
language : en
Publisher: Elsevier
Release Date : 2024-11-15

Mining Biomedical Text Images And Visual Features For Information Retrieval written by Sujata Dash and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Science categories.

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides the reader with a broad coverage of the concepts, themes, and instrumentalities of the important and evolving area of biomedical text, images, and visual features towards information retrieval. It aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research.The book discusses topics such as internet of things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications.It is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work. - Describes many biomedical imaging techniques to detect diseases at the cellular level i.e., image segmentation, classification, or image indexing using a variety of computational intelligence and image processing approaches - Discusses how data mining techniques can be used for noise diminution and filtering MRI, EEG, MEG, fMRI, fNIRS, and PET Images - Presents text mining techniques used for clinical documents in the areas of medicine and Biomedical NLP Systems