Description: FASTSHIPPING HASSLEFREERETURNS SECUREPAYMENT EXCELLENTSERVICE Description ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A practical overview of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology. Publisher : Wiley Language : English Hardcover : 864 pages ISBN-10 : 1119790298 ISBN-13 : 978-1119790297 Item Weight : 3.88 pounds Dimensions : 7.01 x 2.04 x 10 inches SHIPPING Shipping All items fast! The majority of orders are shipped using USPS Priority Mail and UPS Ground if requested. There is an option at checkout to add a Signature of Delivery for extra security & peace of mind. This means you need to sign for your parcel. If you are not home, the courier will take it to your local post office for collection. We also offer expedited shipments upon request, we will quote the shipment and let you know of the estimated cost. If agreed we will process the order and add the shipping charge to your invoice. All items ordered by 3 PM EST will be shipped same day. We also are partnered with Ebay using the Global Shipping Program. We will ship internationally to any country that is a part of the program. 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Price: 188.75 USD
Location: Philadelphia, Pennsylvania
End Time: 2024-10-23T17:22:27.000Z
Shipping Cost: 5.99 USD
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Book Title: Artificial Intelligence and... HARDCOVER
Topic: Artificial Intelligence and... HARDCOVER
Original Language: English
Unit Quantity: 1
ISBN: 1119790298
Number of Pages: 864 Pages
Language: English
Publication Name: Artificial Intelligence and Quantum Computing for Advanced Wireless Networks
Publisher: Wiley & Sons, Incorporated, John
Subject: Optical Data Processing, Intelligence (Ai) & Semantics, General, Programming Languages / Python
Item Height: 2 in
Publication Year: 2022
Item Weight: 62.1 Oz
Type: Textbook
Subject Area: Computers, Science
Item Length: 10 in
Author: Savo G. Glisic, Beatriz Lorenzo
Item Width: 7 in
Format: Hardcover