Multimodal And Tensor Data Analytics For Industrial Systems Improvement


Multimodal And Tensor Data Analytics For Industrial Systems Improvement
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Multimodal And Tensor Data Analytics For Industrial Systems Improvement


Multimodal And Tensor Data Analytics For Industrial Systems Improvement
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Author : Nathan Gaw
language : en
Publisher: Springer
Release Date : 2024-06-02

Multimodal And Tensor Data Analytics For Industrial Systems Improvement written by Nathan Gaw and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-02 with Mathematics categories.


This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare. Advancements in sensing technologies and the shift toward the Internet of Things (IoT) has transformed and will continue to transform data analytics by producing new requirements and more complex forms of data. The abundance of data creates an unprecedented opportunity to design more efficient systems and make near-optimal operational decisions. On the other hand, the structural complexity and heterogeneity of the generated data pose a significant challenge to extracting useful features and patterns for making use of the data and facilitating decision-making. Therefore, continual research is needed to develop new statistical and analytical methodologies that overcome these data challenges and turn them into opportunities.



Multimodal And Tensor Data Analytics For Industrial Systems Improvement


Multimodal And Tensor Data Analytics For Industrial Systems Improvement
DOWNLOAD

Author : Nathan Gaw
language : en
Publisher: Springer Nature
Release Date :

Multimodal And Tensor Data Analytics For Industrial Systems Improvement written by Nathan Gaw and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Multimodal Analytics For Next Generation Big Data Technologies And Applications


Multimodal Analytics For Next Generation Big Data Technologies And Applications
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Author : Kah Phooi Seng
language : en
Publisher: Springer
Release Date : 2019-07-18

Multimodal Analytics For Next Generation Big Data Technologies And Applications written by Kah Phooi Seng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-18 with Computers categories.


This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.



Deep Neural Networks For Multimodal Imaging And Biomedical Applications


Deep Neural Networks For Multimodal Imaging And Biomedical Applications
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Author : Annamalai Suresh
language : en
Publisher: Medical Information Science Reference
Release Date : 2020

Deep Neural Networks For Multimodal Imaging And Biomedical Applications written by Annamalai Suresh and has been published by Medical Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.


The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.



Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images


Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images
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Author : Yuhui Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-23

Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images written by Yuhui Zheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Science categories.




Scientific And Technical Aerospace Reports


Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1975

Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Aeronautics categories.


Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.



Data Analytics And Management


Data Analytics And Management
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Author : Ashish Khanna
language : en
Publisher: Springer Nature
Release Date : 2021-01-04

Data Analytics And Management written by Ashish Khanna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.


This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.



Icdsmla 2021


Icdsmla 2021
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-02-06

Icdsmla 2021 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Technology & Engineering categories.


This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.



Intelligent Systems Design And Applications


Intelligent Systems Design And Applications
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2019-04-11

Intelligent Systems Design And Applications written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-11 with Technology & Engineering categories.


This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.



Bio Inspired Physiological Signal S And Medical Image S Neural Processing Systems Based On Deep Learning And Mathematical Modeling For Implementing Bio Engineering Applications In Medical And Industrial Fields


Bio Inspired Physiological Signal S And Medical Image S Neural Processing Systems Based On Deep Learning And Mathematical Modeling For Implementing Bio Engineering Applications In Medical And Industrial Fields
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Author : Francesco Rundo
language : en
Publisher: Frontiers Media SA
Release Date : 2021-12-31

Bio Inspired Physiological Signal S And Medical Image S Neural Processing Systems Based On Deep Learning And Mathematical Modeling For Implementing Bio Engineering Applications In Medical And Industrial Fields written by Francesco Rundo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Medical categories.