Titlebook: IoT Sensors, ML, AI and XAI: Empowering A Smarter World; Biswajeet Pradhan,Subhas Mukhopadhyay Book 2024 The Editor(s) (if applicable) and

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Non-invasive Stress Recognition Framework Using Consumer Internet of Things in Smart Healthcare Appg model. The performance evaluation against seven state-of-the-art stress recognition approaches demonstrates a 3% accuracy enhancement, highlighting the effectiveness of the proposed methodology. At the edge layer, a Support Vector Machine (SVM) model achieves a remarkable 97% accuracy, showcasing

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Explainable Multi-task Learning Approach for Skin Lesion Classification,assification accuracy. Importantly, the use of MTL facilitates a reduction in model complexity while achieving superior performance, making this approach both powerful and efficient. From a practical standpoint, the replicability of our MTL framework is a key advantage, providing a scalable model fo

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IoT Operational Intelligence,s networks to meet the needs of real-time domains. We establish that systems work efficiently and effectively with credible feedback from sensors. By customising the training of intelligent devices, we show how “edge” devices generate “actionable intelligence” at the edge to optimise workloads and r

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Offloading Strategies and Computing Paradigms in IoT: A Survey,eer-to-peer computing, providing a significant understanding of their contributions to optimizing computational resources in IoT systems. At last, we conclude this chapter by summarizing the key findings and insights, emphasizing the significance of the discussed offloading strategies and computing

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,Predicting Forest Canopy Height Using GEDI?LiDAR Based Machine Learning?Technique Over?Similipal?Bi aboveground carbon storage is the height of the canopy. These findings imply that incorporating various variables and data sources enhances canopy cover and height prediction accuracy when compared to using a single data source. The findings of this study may be useful in developing forest manageme

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IoT Sensors, ML, AI and XAI: Empowering A Smarter World

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A Prototype Design for Effective Traffic Navigation,es in real-time, which could help to improve road safety and reduce vehicle damage. Overall, this review provides an overview of the state-of-the-art in pothole detection and navigation and identifies areas for future research.