Proceedings Of Academia Industry Consortium For Data Science

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Proceedings of Academia-Industry Consortium for Data Science

Author : Gaurav Gupta
Publisher : Springer Nature
ISBN 13 : 9811668876
Total Pages : 415 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Academia-Industry Consortium for Data Science by : Gaurav Gupta

Download or read book Proceedings of Academia-Industry Consortium for Data Science written by Gaurav Gupta and published by Springer Nature. This book was released on 2022-02-01 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 – 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.

Recent Trends and Best Practices in Industry 4.0

Author : Abhinav Sharma
Publisher : CRC Press
ISBN 13 : 1000964388
Total Pages : 449 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Recent Trends and Best Practices in Industry 4.0 by : Abhinav Sharma

Download or read book Recent Trends and Best Practices in Industry 4.0 written by Abhinav Sharma and published by CRC Press. This book was released on 2023-11-03 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4.0 (e.g., 'smart machines'). They use modern control systems, have embedded software systems, can be addressed via IoT (the Internet of Things), and may use extensive data analytics and/or articifical inteligence systems to operate autonomously. The aim of this book is to provide detailed insights into the state of art techniques in AI, IoT, Blockchain technology and associated technologies which play a vital role in the implementation of a successful project for upcoming and practicing engineers. Owing to its multidisciplinary nature, Industry 4.0 is not a single topic but a combination of a multitude of technologies from different domains. Keeping this in mind the book includes the following topics: Artificial intelligence Internet of things Blockchain technology Digital manufacturing Robotics Cybersecurity The book will be a comprehensive guide to academicians and engineers who want to align with recent trends of fourth industrial revolution.

Proceedings on International Conference on Data Analytics and Computing

Author : Anupam Yadav
Publisher : Springer Nature
ISBN 13 : 981993432X
Total Pages : 391 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings on International Conference on Data Analytics and Computing by : Anupam Yadav

Download or read book Proceedings on International Conference on Data Analytics and Computing written by Anupam Yadav and published by Springer Nature. This book was released on 2023-09-09 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China, held during May 28–29, 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are postgraduate students, researchers and academic professionals.

Blockchain and Deep Learning for Smart Healthcare

Author : Akansha Singh
Publisher : John Wiley & Sons
ISBN 13 : 111979174X
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Blockchain and Deep Learning for Smart Healthcare by : Akansha Singh

Download or read book Blockchain and Deep Learning for Smart Healthcare written by Akansha Singh and published by John Wiley & Sons. This book was released on 2024-01-04 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: BLOCKCHAIN and DEEP LEARNING for SMART HEALTHCARE The book discusses the popular use cases and applications of blockchain technology and deep learning in building smart healthcare. The book covers the integration of blockchain technology and deep learning for making smart healthcare systems. Blockchain is used for health record-keeping, clinical trials, patient monitoring, improving safety, displaying information, and transparency. Deep learning is also showing vast potential in the healthcare domain. With the collection of large quantities of patient records and data, and a trend toward personalized treatments. there is a great need for automated and reliable processing and analysis of health information. This book covers the popular use cases and applications of both the above-mentioned technologies in making smart healthcare. Audience Comprises professionals and researchers working in the fields of deep learning, blockchain technology, healthcare & medical informatics. In addition, as the book provides insights into the convergence of deep learning and blockchain technology in healthcare systems and services, medical practitioners as well as healthcare professionals will find this essential reading.

Parallel and Distributed Computing, Applications and Technologies

Author : Hiroyuki Takizawa
Publisher : Springer Nature
ISBN 13 : 3031299272
Total Pages : 526 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Hiroyuki Takizawa

Download or read book Parallel and Distributed Computing, Applications and Technologies written by Hiroyuki Takizawa and published by Springer Nature. This book was released on 2023-04-07 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2022, which took place in Sendai, Japan, during December 7-9, 2022. The 24 full papers and 16 short papers included in this volume were carefully reviewed and selected from 95 submissions. The papers are categorized into the following topical sub-headings: Heterogeneous System (1; HPC & AI; Embedded systems & Communication; Blockchain; Deep Learning; Quantum Computing & Programming Language; Best Papers; Heterogeneous System (2); Equivalence Checking & Model checking; Interconnect; Optimization (1); Optimization (2); Privacy; and Workflow.

Artificial Intelligence-Augmented Digital Twins

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3031434900
Total Pages : 673 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence-Augmented Digital Twins by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence-Augmented Digital Twins written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2024-01-19 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.

Digital Technologies and Applications

Author : Saad Motahhir
Publisher : Springer Nature
ISBN 13 : 3031298608
Total Pages : 1021 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on 2023-04-27 with total page 1021 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as artificial intelligence, Internet of Things, embedded systems, network technology, digital transformation, and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare, etc. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Intelligent Systems Design and Applications

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3031355075
Total Pages : 614 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2023-07-04 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

Data Intelligence and Cognitive Informatics

Author : I. Jeena Jacob
Publisher : Springer Nature
ISBN 13 : 9811960046
Total Pages : 901 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Data Intelligence and Cognitive Informatics by : I. Jeena Jacob

Download or read book Data Intelligence and Cognitive Informatics written by I. Jeena Jacob and published by Springer Nature. This book was released on 2022-12-02 with total page 901 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Data Science and Intelligent Applications

Author : Ketan Kotecha
Publisher : Springer Nature
ISBN 13 : 9811544743
Total Pages : 556 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Science and Intelligent Applications by : Ketan Kotecha

Download or read book Data Science and Intelligent Applications written by Ketan Kotecha and published by Springer Nature. This book was released on 2020-06-17 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.

Advances in Data Science and Information Engineering

Author : Robert Stahlbock
Publisher : Springer
ISBN 13 : 9783030717032
Total Pages : 922 pages
Book Rating : 4.7/5 (17 download)

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Book Synopsis Advances in Data Science and Information Engineering by : Robert Stahlbock

Download or read book Advances in Data Science and Information Engineering written by Robert Stahlbock and published by Springer. This book was released on 2021-08-19 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Proceedings of Data Analytics and Management

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811662851
Total Pages : 850 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Data Analytics and Management by : Deepak Gupta

Download or read book Proceedings of Data Analytics and Management written by Deepak Gupta and published by Springer Nature. This book was released on 2021-11-21 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. 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.

Data Science and Emerging Technologies

Author : Yap Bee Wah
Publisher : Springer Nature
ISBN 13 : 9819702933
Total Pages : 574 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Data Science and Emerging Technologies by : Yap Bee Wah

Download or read book Data Science and Emerging Technologies written by Yap Bee Wah and published by Springer Nature. This book was released on with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science – Analytics and Applications

Author : Peter Haber
Publisher : Springer Nature
ISBN 13 : 3658362952
Total Pages : 101 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Data Science – Analytics and Applications by : Peter Haber

Download or read book Data Science – Analytics and Applications written by Peter Haber and published by Springer Nature. This book was released on 2022-03-29 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use cases. The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies. The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track. Among the topics of interest are: Artificial Intelligence and Machine Learning Implementation of data mining processes Agile Data Science and Visualization Case Studies and Applications for Agile Data Science --- Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle. Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werden können. Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch. Zu den Themen, die sie interessieren, gehören unter anderem: Künstliche Intelligenz und Maschinelles Lernen Implementierung von Data-Mining-Prozessen Agile Datenwissenschaft und Visualisierung Fallstudien und Anwendungen für Agile Datenwissenschaft

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Roundtable on Data Science Postsecondary Education

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 030967770X
Total Pages : 223 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Roundtable on Data Science Postsecondary Education by : National Academies of Sciences, Engineering, and Medicine

Download or read book Roundtable on Data Science Postsecondary Education written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-10-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

Leveraging Data Science for Global Health

Author : Leo Anthony Celi
Publisher : Springer Nature
ISBN 13 : 3030479943
Total Pages : 471 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Leveraging Data Science for Global Health by : Leo Anthony Celi

Download or read book Leveraging Data Science for Global Health written by Leo Anthony Celi and published by Springer Nature. This book was released on 2020-07-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.