AI-Enabled 6G Networks and Applications - Deepak Gupta
3x

AI-Enabled 6G Networks and Applications - Deepak Gupta

Hurry! 1 items left!
Price
$90.23
Collect 270 Everyday Rewards points
Score 3x points on every order
Ends 11:59pm 03/12/2024. Exclusions & T&Cs apply
Log in to MyDeal to link your card
Shipping
Free Shipping
 
24-48 hour dispatch
Quantity
Maximum item limit (1) has been reached.
 
AI-Enabled 6G Networks and Applications - Deepak Gupta Book
  • Author: Deepak Gupta
  • Publisher: Wiley; 1st edition
  • Cover Type: Hardcover
  • Pages: 176 pages
  • Language: English
  • Genre: Computers & Internet, Computer Science
  • Genre Class: Computers, Artificial, Intelligence
  • AI-ENABLED 6G NETWORKS AND APPLICATIONSProvides authoritative guidance on utilizing AI techniques in 6G network design and optimizationWritten and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks. Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum managementDescribes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy managementIdentifies and provides solutions to problems in current 4G/5G networks and emergent 6G architecturesDiscusses privacy and security issues in IoT-enabled 6G NetworksExamines the use of machine learning to achieve closed-loop optimization and intelligent wireless communicationAI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.

    P> From the Publisher Deepak Gupta, Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing. Mahmoud Ragab, PhD., Associate Professor, Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt. Romany Fouad Mansour, PhD., Associate Professor, Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics _and Evolutionary Computation. Aditya Khamparia, Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Punjab, India. His teaching and research focuses on machine learning, deep learning, educational technologies, and computer vision. Ashish Khanna, Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning. From the Back Cover Provides authoritative guidance on utilizing AI techniques in 6G network design and optimizationWritten and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks. Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum managementDescribes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy managementIdentifies and provides solutions to problems in current 4G/5G networks and emergent 6G architecturesDiscusses privacy and security issues in IoT-enabled 6G NetworksExamines the use of machine learning to achieve closed-loop optimization and intelligent wireless communicationAI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering. About the Author: Deepak Gupta, Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing. Mahmoud Ragab, PhD., Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt. Romany Fouad Mansour, PhD., Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics and Evolutionary Computation. Aditya Khamparia, Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Amethi, India. His teaching and research focus on machine learning, deep learning, educational technologies, and computer vision. Ashish Khanna, Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning.

    GTIN: 9781119812647

    Shipping Details

    • We ship across Australia, including major cities like: Sydney, Melbourne, Perth, Brisbane, Adelaide, Canberra, Newcastle and the Gold Coast
    Refund Guarantee Icon
    Shop with peace of mind
    All marketplace products are covered by our MyDeal Refund Guarantee Learn More

    Estimated Delivery Time Frame: 5 - 10 business days

    Have a question about this product? Click here
    Secure ways to pay at checkout
    Buy Now, Pay Later
    From $10/week with
    Zip
    4 interest-free instalments of $22.56 (excluding shipping) by AfterPay
    Pay in 4 interest-free payments of $22.56 with PayPal
    Sold & shipped by AUGOODS
    cashback icon
    gold Seller
    A seller's rating is an overall score calculated from performance metrics. Learn More
    93.75%
    Proudly growing a MyDeal Forest
    Proudly growing a MyDeal Forest
    By purchasing from MyDeal, you’re helping us plant 7.8 hectares of trees per year with Greenfleet. Learn More

    More from this brand

    Reference ID: 11715355

    Reviews (0) Add Review

    No reviews yet