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Author : Dr. A Sharada
Publisher : Archers & Elevators Publishing House
ISBN 13 : 8119385489
Total Pages : 90 pages
Book Rating : 4.1/5 (193 download)
Download or read book Stress Detection Based On Multi Modal Data written by Dr. A Sharada and published by Archers & Elevators Publishing House. This book was released on with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Amit Kumar Singh
Publisher : Elsevier
ISBN 13 : 0443132348
Total Pages : 444 pages
Book Rating : 4.4/5 (431 download)
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
Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)
Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.
Author : Lutz Jäncke
Publisher : Frontiers Media SA
ISBN 13 : 2889711749
Total Pages : 154 pages
Book Rating : 4.8/5 (897 download)
Download or read book Cognitive Neuroscience Editor's Pick 2021 written by Lutz Jäncke and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guido P. H. Band
Publisher : Frontiers Media SA
ISBN 13 : 2889633527
Total Pages : 169 pages
Book Rating : 4.8/5 (896 download)
Download or read book Psychophysiological Contributions to Traffic Safety written by Guido P. H. Band and published by Frontiers Media SA. This book was released on 2020-01-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Masaaki Kurosu
Publisher : Springer Nature
ISBN 13 : 3031604288
Total Pages : 278 pages
Book Rating : 4.0/5 (316 download)
Download or read book Human-Computer Interaction written by Masaaki Kurosu and published by Springer Nature. This book was released on with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Maria Lapina
Publisher : Springer Nature
ISBN 13 : 3031721713
Total Pages : 357 pages
Book Rating : 4.0/5 (317 download)
Download or read book AISMA-2024: International Workshop on Advanced Information Security Management and Applications written by Maria Lapina and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mohamed Tabaa
Publisher : Springer Nature
ISBN 13 : 3031473663
Total Pages : 216 pages
Book Rating : 4.0/5 (314 download)
Download or read book New Technologies, Artificial Intelligence and Smart Data written by Mohamed Tabaa and published by Springer Nature. This book was released on 2023-11-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the 10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023. After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topics of data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.
Author : Hua Xu
Publisher : Springer Nature
ISBN 13 : 9819957761
Total Pages : 278 pages
Book Rating : 4.8/5 (199 download)
Download or read book Multi-Modal Sentiment Analysis written by Hua Xu and published by Springer Nature. This book was released on 2023-11-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
Author : Michael Kipp
Publisher : Springer Science & Business Media
ISBN 13 : 3642047920
Total Pages : 231 pages
Book Rating : 4.6/5 (42 download)
Download or read book Multimodal Corpora written by Michael Kipp and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", this expanded collection presents a comprehensive review of the current research in the field.
Author : B. Vinoth Kumar
Publisher : Springer Nature
ISBN 13 : 3031205413
Total Pages : 359 pages
Book Rating : 4.0/5 (312 download)
Download or read book Smart Computer Vision written by B. Vinoth Kumar and published by Springer Nature. This book was released on 2023-02-27 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.
Author : Shuihua Wang
Publisher : Springer Nature
ISBN 13 : 3031335457
Total Pages : 349 pages
Book Rating : 4.0/5 (313 download)
Download or read book IoT and Big Data Technologies for Health Care written by Shuihua Wang and published by Springer Nature. This book was released on 2023-05-23 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022. The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781728153759
Total Pages : pages
Book Rating : 4.1/5 (537 download)
Download or read book 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) written by IEEE Staff and published by . This book was released on 2020-07-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Computing emerges as an integral part of almost all the modern industries like Software Engineering, Computer Engineering, and Information technology It is evident from the recent computing applications that it can easily encompass the design and development of various hardware and software architectures to be capable of structuring, managing and processing a different kind of information available in the emerging intelligent system architectures With its ability to transform information, there exists a various number of smart computing applications like cloud computing, edge computing, ubiquitous computing, quantum computing, and social computing Despite the hype, some areas of computing still need some research exploration
Author : Neeta Verma
Publisher : Bentham Science Publishers
ISBN 13 : 9815305131
Total Pages : 339 pages
Book Rating : 4.8/5 (153 download)
Download or read book Prediction in Medicine: The Impact of Machine Learning on Healthcare written by Neeta Verma and published by Bentham Science Publishers. This book was released on 2024-10-11 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management. The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation.
Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036511385
Total Pages : 550 pages
Book Rating : 4.0/5 (365 download)
Download or read book Emotion and Stress Recognition Related Sensors and Machine Learning Technologies written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.
Author : Andreas K. Maier
Publisher : Springer Nature
ISBN 13 : 3031476794
Total Pages : 200 pages
Book Rating : 4.0/5 (314 download)
Download or read book Machine Learning for Multimodal Healthcare Data written by Andreas K. Maier and published by Springer Nature. This book was released on 2023-11-25 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.
Author : Renu Rameshan
Publisher : Springer
ISBN 13 : 9811300208
Total Pages : 570 pages
Book Rating : 4.8/5 (113 download)
Download or read book Computer Vision, Pattern Recognition, Image Processing, and Graphics written by Renu Rameshan and published by Springer. This book was released on 2018-04-25 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.
