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Full Description
The book covers the strategies and frameworks for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applications.
Covers the essence of human-computer interaction in healthcare applications, along with possibilities with generative artificial intelligence.
Discusses quality use of human cognition for the design and development of information processing systems from an industry perspective with human-computer interaction-based technologies.
Presents the strategies or framework for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applications.
Explains security and privacy issues in designing and developing of cyber-physical systems applications for healthcare and smart cities.
Explores emerging trends, challenges, and opportunities in the fields of augmented reality interfaces, affective computing, and ethical considerations in human-computer interaction design.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.
Contents
Chapter 1: Issues and Challenges: Towards a Secure Metaverse Chapter 2: Intelligent Systems - The Role of Wireless Positioning in Autonomous Vehicles Chapter 3: Advanced Encryption Techniques for Wireless Networks: A Comparative Study Chapter 4: Enhancing Security and Threat Detection through Machine Learning Models Chapter 5: Privacy-Preserving Federated Learning for Securing the IoT Based Edge Devices in Human Computer Interaction Applications Chapter 6: Blockchain-Enabled IoT for Green Finance: Fostering Eco-Conscious Behavior and Financial Innovation Chapter 7: Comparative Analysis of Advanced Transformer Architectures for Online Rumor Veracity Detection Chapter 8: Nearest Neighbour Search with Applications in Medical Image Manipulation Chapter 9: Emotional Anatomy of Fake News: Leveraging Sentiment and Explainable AI for Misinformation Detection Chapter 10: A Comprehensive Review of Deep Learning, Traditional Methods, and Gen AI Techniques for lung nodule segmentation Chapter 11: MERDiff-ODE: Redefining Multimodal Emotion Recognition with Diffusion Models in Healthcare Chapter 12: A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms Chapter 13: Leafy Vegetables Growth Analysis using Machine Learning at Different pH and TDS Levels for Hydroponics Chapter 14: Detecting Newly Emerging Apple Blotch Leaf Miner (ABLM) using Deep Learning Approach Chapter 15: Cognitive Intelligent Duct Systems for Providing Cooling Comfort as per the Climate Chapter 16: AI-Driven BookSwap Connect Chapter 17: Bridging the Gaps: An Extensive Survey on Knowledge Distillation for Computer Vision
