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Book Synopsis Pervasive Computing Technologies for Healthcare by : Hadas Lewy
Download or read book Pervasive Computing Technologies for Healthcare written by Hadas Lewy and published by Springer Nature. This book was released on 2022-03-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 full and 7 short papers were selected from 74 submissions and are organized in 3 main tracks: hospitality and community care, homecare and medical education. The COVID 19 pandemic was challenging all dimensions of Pervasive Health (PH) and traditional ways of monitoring, diagnosing, treating and communicating changed dramatically.
Book Synopsis Data Fusion Techniques and Applications for Smart Healthcare by : Amit Kumar Singh
Download or read book Data Fusion Techniques and Applications for Smart Healthcare written by Amit Kumar Singh and published by Elsevier. This book was released on 2024-03-12 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, x-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI. Another typical source of variability is the existence of data from different time points, such as pre and post treatment, for instance. These large and highly diverse amounts of information need to be organized and mined in an appropriate way so that meaningful information can be extracted. New multimodal data fusion techniques are able to combine salient information into one single source to ensure better diagnostic accuracy and assessment. Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. This book can be used as a reference for practicing engineers, scientists, and researchers. It will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications. - Presents broad coverage of applied case studies using data fusion techniques to mine, organize, and interpret medical data - Investigates how data fusion techniques offer a new solution for dealing with massive amounts of medical data coming from diverse sources and multiple formats - Focuses on identifying challenges, solutions, and new directions that will be useful for graduate students, researchers, and practitioners from government, academia, industry, and healthcare
Book Synopsis Data-Driven Innovation for Intelligent Technology by : Hiram Ponce
Download or read book Data-Driven Innovation for Intelligent Technology written by Hiram Ponce and published by Springer Nature. This book was released on with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Explainable Machine Learning for Multimedia Based Healthcare Applications by : M. Shamim Hossain
Download or read book Explainable Machine Learning for Multimedia Based Healthcare Applications written by M. Shamim Hossain and published by Springer Nature. This book was released on with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Human Computer Interaction by : Madhusudan Singh
Download or read book Intelligent Human Computer Interaction written by Madhusudan Singh and published by Springer Nature. This book was released on 2021-02-05 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12615 + 12616 constitutes the refereed proceedings of the 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020, which took place in Daegu, South Korea, during November 24-26, 2020. The 75 full and 18 short papers included in these proceedings were carefully reviewed and selected from a total of 185 submissions. The papers were organized in topical sections named: cognitive modeling and systems; biomedical signal processing and complex problem solving; natural language, speech, voice and study; algorithms and related applications; crowd sourcing and information analysis; intelligent usability and test system; assistive living; image processing and deep learning; and human-centered AI applications.
Book Synopsis Pattern Recognition and Image Analysis by : Aythami Morales
Download or read book Pattern Recognition and Image Analysis written by Aythami Morales and published by Springer Nature. This book was released on 2019-09-21 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.
Book Synopsis Handbook of Biometric Anti-Spoofing by : Sébastien Marcel
Download or read book Handbook of Biometric Anti-Spoofing written by Sébastien Marcel and published by Springer Nature. This book was released on 2023-02-23 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous editions, this thoroughly updated third edition has been considerably revised to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering recent technologies like Vision Transformers, and review of competition series; examines methods for PAD in iris recognition systems, the use of pupil size measurement or multiple spectra for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as recent progress on detection of 3D facial masks and the use of multiple spectra with Deep Neural Networks; presents an analysis of PAD for automatic speaker recognition (ASV), including a study of the generalization to unseen attacks; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and face anti-spoofing; provides analyses of PAD in finger-vein recognition, in signature biometrics, and in mobile biometrics; includes coverage of international standards in PAD and legal aspects of image manipulations like morphing.This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics. This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.
Book Synopsis Intelligent Human Computer Interaction by : Hakimjon Zaynidinov
Download or read book Intelligent Human Computer Interaction written by Hakimjon Zaynidinov and published by Springer Nature. This book was released on 2023-04-10 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Human Computer Interaction, IHCI 2022, held in Tashkent, Uzbekistan, during October 20–22, 2022. The 47 full papers and 13 short papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: Bio-inspired Computing; Cognitive computing; Human Centered AI; Intelligent Technology for Post-Covid and Web Frameworks.
Book Synopsis Computer Vision – ECCV 2022 by : Shai Avidan
Download or read book Computer Vision – ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Book Synopsis Intelligent Computing by : Kohei Arai
Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2021-07-05 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.
Download or read book Image Analysis written by Rikke Gade and published by Springer Nature. This book was released on 2023-04-26 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023. The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.
Book Synopsis Pro-poor Growth: Policy and Evidence by : Lukas Menkhoff
Download or read book Pro-poor Growth: Policy and Evidence written by Lukas Menkhoff and published by Duncker & Humblot. This book was released on 2006-12-11 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: The embarrassing living conditions of more than one billion poor people in developing countries in combination with the increasing gap of living standards between the poor and the rich, has provided a strong motivation for development policy to change this situation. From its beginning, policy has aimed for stimulating economic growth in order to improve living conditions for everyone. The endurance of poverty, however, has motivated to extend the traditional »growth is good for the poor« by a more targeted policy that combines growth with a particular emphasis on improving the situation of the poor. This is exactly the objective of »pro-poor growth«, a term that became popular during the late 1990s and which seemed to dominate the stage with the propagation of the Millennium Development Goals, including its goal to halve poverty by 2015. This volume contains six papers that address various core issues of pro-poor growth policies. These papers were presented at the annual meeting of the Research Committee Development Economics (Ausschuss Entwicklungsländer des Vereins für Socialpolitik) in 2005. Papers were lively discussed at the meeting and later on improved by comments from anonymous referees. All authors have done extensive research in the field of pro-poor growth, including field studies. Accordingly, their contributions - reflecting this knowledge and proficiency - pick up recent developments in the field. The discussion of most appropriate pro-poor growth policies is an ongoing process which has been documented by a growing literature. The value added of the present volume is obviously not to be more comprehensive than others but rather to continue the line of work by bringing some recent research findings - with a focus on policy relevance and empirical substantiation - to a broader audience.
Book Synopsis Advances in Computer Entertainment Technology by : Adrian David Cheok
Download or read book Advances in Computer Entertainment Technology written by Adrian David Cheok and published by Springer. This book was released on 2018-03-02 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017, held in London, UK, in December 2017. The 59 full papers presented were selected from a total of 229 submissions. ACE is by nature a multi-disciplinary conference, therefore attracting people across a wide spectrum of interests and disciplines including computer science, design, arts, sociology, anthropology, psychology, and marketing. The main goal is to stimulate discussion in the development of new and compelling entertainment computing and interactive art concepts and applications. The chapter 'eSport vs irlSport' is open access under a CC BY 4.0 license via link.springer.com.
Book Synopsis Body Sensor Networking, Design and Algorithms by : Saeid Sanei
Download or read book Body Sensor Networking, Design and Algorithms written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2020-04-30 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to advances in the industry, the text looks at cooperative networks, noninvasive and implantable sensor microelectronics, wireless sensor networks, platforms, and optimization—to name a few. Each chapter provides essential information needed to understand the current landscape of technology and mechanical developments. It covers subjects including Physiological Sensors, Sleep Stage Classification, Contactless Monitoring, and much more. Among the many topics covered, the text also includes additions such as: Over 120 figures, charts, and tables to assist with the understanding of complex topics Design examples and detailed experimental works A companion website featuring MATLAB and selected data sets Additionally, readers will learn about wearable and implantable devices, invasive and noninvasive monitoring, biocompatibility, and the tools and platforms for long-term, low-power deployment of wireless communications. It’s an essential resource for understanding the applications and practical implementation of BSN when it comes to elderly care, how to manage patients with chronic illnesses and diseases, and use cases for rehabilitation.
Book Synopsis Computer Vision – ACCV 2020 by : Hiroshi Ishikawa
Download or read book Computer Vision – ACCV 2020 written by Hiroshi Ishikawa and published by Springer Nature. This book was released on 2021-02-25 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
Book Synopsis Oxygen Transport to Tissue XLIV by : Felix Scholkmann
Download or read book Oxygen Transport to Tissue XLIV written by Felix Scholkmann and published by Springer Nature. This book was released on 2023-10-16 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge papers and perspectives on the transport of oxygen to tissues by scientists in a multitude of disciplines such as biochemistry, engineering, mathematics, medicine, physics, physiology, veterinary and complementary medicine. The book is composed of the following 6 parts: Brain Oxygenation and Function, Tumor Oxygenation and Metabolism, Muscle Oxygenation and Sports Medicine, Cell Metabolism and Tissue Oxygenation, Methodology of O2 Measurements, and Special Topics. The articles in this book have been presented at the 49th annual meeting of the International Society on Oxygen Transport to Tissue (ISOTT 2022). Academics, clinical and industry researchers, engineers, as well as graduate students who are interested in oxygen transport to tissue will find this book a great reference and a useful learning resource.
Book Synopsis Computer Vision – ACCV 2022 by : Lei Wang
Download or read book Computer Vision – ACCV 2022 written by Lei Wang and published by Springer Nature. This book was released on 2023-02-22 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.
