Moustafa W Mourad's Books

Facial Plastic & Reconstructive Surgery

Concepts, Questions, Answers

By: Sami P Moubayed,Moustafa W Mourad,Antoni Riera March

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Facial Plastic & Reconstructive Surgery

Concepts, Questions, Answers

By: Sami P Moubayed,Moustafa W Mourad,Antoni Riera March

This book is a comprehensive guide to facial plastic and reconstructive surgery for surgeons and trainees. Divided into five sections, the text begins with an overview of basic techniques, analgesia and conscious sedation, and legal and psychosocial issues. The next section covers rhinoplasty, both aesthetic and medical, and section three discusses various aesthetic facial surgery procedures including browplasty, liposuction and scar revision. The following section examines non-surgical procedures such as chemical peels, Botox and fillers, and the book concludes with a section on reconstructive surgery including Mohs surgery, local flaps and grafts, cleft lip and palate, and craniomaxillofacial trauma. A question bank of more than 1000 questions and answers is included to assist revision and exam preparation. Authored by recognised experts from Canada and the USA, chapters feature multiple images and diagrams, as well as key points boxes for quick reference. Key points Comprehensive guide to facial plastic and reconstructive surgery Covers basic techniques, rhinoplasty, aesthetic facial surgery, non-surgical procedures, and reconstructive surgery Features a question bank of more than 1000 questions and answers Recognised author team from Canada and USA

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Page Count

319

Publisher

Jaypee Brothers Medical Publishers

Published Date

ISBN 10

9352702921

ISBN 13

9789352702923

Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

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Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

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Page Count

273

Publisher

Springer Nature

Published Date

ISBN 10

3030890252

ISBN 13

9783030890254

Deep Learning Approaches for Security Threats in IoT Environments

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash

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Deep Learning Approaches for Security Threats in IoT Environments

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash

Deep Learning Approaches for Security Threats in IoT Environments An expert discussion of the application of deep learning methods in the IoT security environment In Deep Learning Approaches for Security Threats in IoT Environments, a team of distinguished cybersecurity educators deliver an insightful and robust exploration of how to approach and measure the security of Internet-of-Things (IoT) systems and networks. In this book, readers will examine critical concepts in artificial intelligence (AI) and IoT, and apply effective strategies to help secure and protect IoT networks. The authors discuss supervised, semi-supervised, and unsupervised deep learning techniques, as well as reinforcement and federated learning methods for privacy preservation. This book applies deep learning approaches to IoT networks and solves the security problems that professionals frequently encounter when working in the field of IoT, as well as providing ways in which smart devices can solve cybersecurity issues. Readers will also get access to a companion website with PowerPoint presentations, links to supporting videos, and additional resources. They’ll also find: A thorough introduction to artificial intelligence and the Internet of Things, including key concepts like deep learning, security, and privacy Comprehensive discussions of the architectures, protocols, and standards that form the foundation of deep learning for securing modern IoT systems and networks In-depth examinations of the architectural design of cloud, fog, and edge computing networks Fulsome presentations of the security requirements, threats, and countermeasures relevant to IoT networks Perfect for professionals working in the AI, cybersecurity, and IoT industries, Deep Learning Approaches for Security Threats in IoT Environments will also earn a place in the libraries of undergraduate and graduate students studying deep learning, cybersecurity, privacy preservation, and the security of IoT networks.

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Page Count

388

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119884144

ISBN 13

9781119884149

Facial Plastic & Reconstructive Surgery

Concepts, Questions, Answers

By: Sami P Moubayed,Moustafa W Mourad,Antoni Riera March

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Facial Plastic & Reconstructive Surgery

Concepts, Questions, Answers

By: Sami P Moubayed,Moustafa W Mourad,Antoni Riera March

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

319

Publisher

Jaypee Brothers Medical Publishers

Published Date

ISBN 10

9352702921

ISBN 13

9789352702923

Book's by Moustafa W Mourad

Facial Plastic & Reconstructive Surgery

Facial Plastic & Reconstructive Surgery

Deep Learning Techniques for IoT Security and Privacy

Deep Learning Techniques for IoT Security and Privacy

Deep Learning Approaches for Security Threats in IoT Environments

Deep Learning Approaches for Security Threats in IoT Environments

Facial Plastic & Reconstructive Surgery

Facial Plastic & Reconstructive Surgery

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