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Machine Learning for Cyber Physical System: Advances and Challenges by Janmenjoy

Description: Machine Learning for Cyber Physical System: Advances and Challenges by Janmenjoy Nayak, Bighnaraj Naik, Vimal S., Margarita Favorskaya Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. Publisher Description This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. Details ISBN 3031540379 ISBN-13 9783031540370 Title Machine Learning for Cyber Physical System: Advances and Challenges Author Janmenjoy Nayak, Bighnaraj Naik, Vimal S., Margarita Favorskaya Format Hardcover Year 2024 Pages 406 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:159794186; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 220.48 USD

Location: Fairfield, Ohio

End Time: 2024-11-27T07:52:02.000Z

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Machine Learning for Cyber Physical System: Advances and Challenges by Janmenjoy

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783031540370

Book Title: Machine Learning for Cyber Physical System: Advances and Challeng

Number of Pages: Xvi, 406 Pages

Language: English

Publication Name: Machine Learning for Cyber Physical System: Advances and Challenges

Publisher: Springer

Subject: Engineering (General), Intelligence (Ai) & Semantics, Electronics / General

Publication Year: 2024

Type: Textbook

Author: Bighnaraj Naik

Item Length: 9.3 in

Subject Area: Computers, Technology & Engineering

Item Width: 6.1 in

Series: Intelligent Systems Référence Library

Format: Hardcover

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