Deep Learning in Edge and Cloud-Based IoT Systems
close menu
Bookswagon
search
My Account
Home > Computer hardware > Interrelated smart technologies > Deep Learning in Edge and Cloud-Based IoT Systems
Deep Learning in Edge and Cloud-Based IoT Systems

Deep Learning in Edge and Cloud-Based IoT Systems


     0     
5
4
3
2
1



International Edition


X
About the Book

The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, IoT technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more.

About the Author :
Uzair Bhatti (Senior Member, IEEE) was born in 1986. He received his Ph.D. degree in Information and Communication Engineering from Hainan University, Haikou, China. In 2021, he completed his postdoctoral research in Earth Observation and Remote Sensing at Nanjing, China. He is currently serving as an Associate Professor in the School of Information and Communication Engineering, Hainan University. Dr. Bhatti has published more than 300 research papers in internationally recognized journals and conferences. In addition, he is the inventor of 22 patents and has served as both Principal Investigator (PI) and participant in several national and provincial research-funded projects in China. He has also edited eight books and conference proceedings published by Springer Nature, Taylor & Francis, and IGI Global. His research interests include Artificial Intelligence, Intelligent Systems, Remote Sensing, Medical Image Analysis, Geographic Information Systems (GIS), and Machine Learning. He has served as a Session Chair at numerous IEEE conferences, including PRAI, DLCV, and IEEE FIT, and has also acted as an Editor and Guest Editor for several SCI- and EI-indexed journals


Best Sellers


Product Details
  • ISBN-13: 9798260006160
  • Publisher: Igi Global Scientific Publishing
  • Publisher Imprint: Igi Global Scientific Publishing
  • Height: 254 mm
  • No of Pages: 284
  • ISBN-10: 8260006162
  • Publisher Date: 30 Jul 2026
  • Binding: Paperback
  • Language: English
  • Width: 178 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Deep Learning in Edge and Cloud-Based IoT Systems
Igi Global Scientific Publishing -
Deep Learning in Edge and Cloud-Based IoT Systems
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.

Deep Learning in Edge and Cloud-Based IoT Systems

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

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    Your IP: 216.73.217.62 IN