Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems With Applications in EHealth, HCI, Information Retrieval and Pervasive Technologies 1st edition by Ilias Maglogiannis, Kostas Karpouzis, Manolis Wallace, John Soldatos – Ebook PDF Instant Download/Delivery. 1586037803 978-1586037802
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Product details:
ISBN 10: 1586037803
ISBN 13: 978-1586037802
Author: Ilias Maglogiannis, Kostas Karpouzis, Manolis Wallace, John Soldatos
The ever expanding abundance of information and computing power enables researchers and users to tackle highly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information, based on user preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of this book is to provide insights on how today’s computer engineers can implement AI in real world applications. Overall, the field of artificial intelligence is extremely broad. In essence, AI has found applications, in one way or another, in every aspect of computing and in most aspects of modern life.Consequently, it is not possible to provide a complete review of the field in the framework of a single book, unless if the review is broad rather than deep. In this book we have chosen to present selected current and emerging practical applications of AI, thus allowing for a more detailed presentation of topics. The book is organized in four parts: General Purpose Applications of AI; Intelligent Human-Computer Interaction; Intelligent Applications in Signal Processing and eHealth; and, Real world AI applications in Computer Engineering.
Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems With Applications in EHealth, HCI, Information Retrieval and Pervasive Technologies 1st Table of contents:
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Introduction to Artificial Intelligence in Computer Engineering
- Overview of AI in computer engineering
- Historical background and evolution of AI techniques
- Current trends and challenges
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Artificial Intelligence in EHealth
- AI applications in healthcare
- Machine learning for medical diagnosis and personalized treatment
- AI in health data management and predictive analytics
- Case studies of AI in healthcare systems
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AI in Human-Computer Interaction (HCI)
- Cognitive computing and interaction models
- Intelligent user interfaces and adaptive systems
- AI-driven assistive technologies for accessibility
- Real-world applications in smart environments
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AI in Information Retrieval
- AI techniques for search engines and recommendation systems
- Natural language processing (NLP) in information retrieval
- AI for improving search accuracy and user experience
- Case studies in content management and personalized search
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AI in Pervasive and Ubiquitous Technologies
- AI applications in the Internet of Things (IoT)
- Pervasive computing and smart environments
- AI in autonomous systems (e.g., drones, self-driving cars)
- Privacy and ethical considerations in pervasive AI
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AI Algorithms and Techniques
- Machine learning models (supervised, unsupervised, reinforcement learning)
- Deep learning and neural networks
- Natural language processing
- Data mining and knowledge discovery
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Real-World Case Studies and Applications
- Case studies of successful AI implementations
- Challenges and opportunities in real-world AI deployments
- Future directions for AI in various fields
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Ethical, Social, and Legal Implications of AI
- Ethical considerations in AI applications
- Privacy concerns and data protection
- Regulation and policy development for AI technologies
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