Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
Home > Computing and Information Technology > Information technology: general topics > Social and ethical aspects > Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)
Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)

Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers — Big Data and Cloud Computing – and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0. By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

Table of Contents:
1. Big Data Based on Fuzzy Time-Series Forecasting for Stock Index Prediction. 2. Big Data-Based Time-Series Forecasting Using FbProphet for Stock Index. 3. The Impact Of Artificial Intelligence and Big Data in the Postal Sector. 4. Advances in Cloud Technologies and Future Trends. 5. Reinforcement of the Multi-Cloud Infrastructure with Edge Computing. 6. Study and Investigation of PKI-Based Blockchain Infrastructure. 7. Stock Index Forecasting Using Stacked Long Short-Term Memory (LSTM): Deep Learning and Big Data. 8. A Comparative Study and Analysis of Time-Series and Deep Learning Algorithms for Bitcoin Price Prediction. 9. Machine Learning for Healthcare. 10. Transfer Learning and Fine-Tuning-Based Early Detection of Cotton Plant Disease. 11. Recognition of Facial Expressions of Infrared Images for Lie Detection with the Use of Support Vector Machines. 12. Support Vector Machines for the Classification of Remote Sensing Images: A Review. 13. A Study on Data Cleaning of Hydrocarbon Resources under Deep Sea Water Using Imputation Technique-Based Data Science Approaches.

About the Author :
Dr. Sheetal S. Zalte-Gaikwad is an assistant professor in Computer Science Department at Shivaji University, Kolhapur, India. She pursued a Bachelor of Computer Science from Pune University, India, in 2002 and a Master of Computer Science from Pune, India, in the year 2004. She earned her Ph.D. in Mobile Adhoc Network at Shivaji University. She has 14 years of teaching experience in computer science. She has published 20+ research papers in reputed international journals and conferences, including IEEE, and it's also available online. She has also authored book chapters with Springer. Her research areas are MANET, VANET, Blockchain Security. Dr. Indranath Chatterjee is working as a Professor in the Department of Computer Engineering at Tongmyong University, Busan, South Korea. He received his Ph. D. in Computational Neuroscience from the Department of Computer Science, University of Delhi, India. His research areas include Computational Neuroscience, Schizophrenia, Medical Imaging, fMRI, and Machine learning. He has authored and edited 8 books on Computer Science and Neuroscience published by renowned international publishers. He has published numerous research papers in international journals and conferences. He is a recipient of various global awards in neuroscience. He is currently serving as a Chief Section Editor of a few renowned international journals, a member of the Editorial board of various international journals, and an Advisory board member in various "Open-Science" organizations worldwide. He is presently working on several projects for government & non-government organizations as PI/co-PI, related to medical imaging and machine learning for a broader societal impact, collaborating with several universities globally. He is an active professional member of the Association of Computing Machinery (ACM, USA), Organization of Human Brain Mapping (OHBM, USA), Federations of European Neuroscience Society (FENS, Belgium), Association for Clinical Neurology and Mental Health (ACNM, India), The Korean Society of Brain and Neural Science (KSBNS, Korea), and International Neuroinformatics Coordinating Facility (INCF, Sweden). Dr. Rajanish. K. Kamat is Dean of Computer Science and Technology, Shivaji University, Kolhapur, India. He received both B.Sc. and M.Sc. in Electronics with distinction in 1991 and 1993. Further, he completed his Mphil and Ph.D. in electronics at Goa university. Presently, he is working with the Department of Electronics and Department of Computer Science at Shivaji University, Kolhapur. He has published more than 150+ research papers in reputed international journals, including IEEE, and authored 12 books with Springer, CRC Press, and IGI global USA.


Best Sellers


Product Details
  • ISBN-13: 9781000784282
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1000784282
  • Publisher Date: 21 Nov 2022
  • Binding: Digital (delivered electronically)
  • Series Title: Innovations in Big Data and Machine Learning


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)
Taylor & Francis Ltd -
Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0: (Innovations in Big Data and Machine Learning)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!