Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing (Aap Advances in Artificial Intelligence and Robotics)

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Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing (Aap Advances in Artificial Intelligence and Robotics)

Rana, Arun Kumar (EDT)/ Gupta, Rashmi (EDT)/ Sharma, Sharad (EDT)

ウェブストア価格 ¥41,395（本体¥37,632）
Apple Academic Press Inc.（2024/11発売）
外貨定価 US$ 200.00
ポイント 376pt

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製本 Hardcover:ハードカバー版／ページ数 250 p.
言語 ENG
商品コード 9781774916421
DDC分類 006.42

Full Description

This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems.

The book is divided into sections that deal with

Artificial intelligence and machine learning in medicine and healthcare
Intelligent decision-making and analysis technology
Machine learning and deep learning for agriculture
Artificial intelligence and machine learning for security solutions
Automation in image processing

Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.

PART 1: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MEDICINE AND HEALTH CARE 1. AI- and IoT-Based Medical Imaging Technology for Healthcare Applications: Future Research 2. Early Diagnosis of Cyanotic Congenital Heart Disease Using Deep Learning 3. AI- and IoT-Based Smart Healthcare with Image Processing 4. Cyber-Physical Systems in Medical Science PART 2: INTELLIGENT DECISION-MAKING AND ANALYSIS TECHNOLOGY 5. Significance of ML and NLP in Sentiment Analysis 6. Intelligent Innovative Systems: Experience on a Multidisciplinary Outlook on Current Challenges and Contingencies 7. The Usage of Cloud Computing and IoT in Artificial Intelligence 8. Blockchain-Based Model to Preserve Authenticity of Judicial Evidence PART 3: MACHINE LEARNING AND DEEP LEARNING FOR AGRICULTURE 9. Applications of Machine Learning and Deep Learning Techniques in Agriculture for Weeds and Crop Disease Detection and Classification PART 4: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SECURITY SOLUTIONS 10. Video Image Identification and Verification Using a Preliminary Score Approach for Authentication and Security Enhancement 11. Machine Learning and Cyber Defense: Hype versus Reality 12. An Effectual Investigation on Security and Privacy in Vehicular Ad-Hoc Networks with Preventive Measures PART 5: AUTOMATION IN IMAGE PROCESSING 13. Automation of Image Processing with Artificial Intelligence and Pattern Recognition Methods