Titlebook: Internet of Things; 5th The Global IoT S Aurora González-Vidal,Ahmed Mohamed Abdelgawad,Lat Conference proceedings 2022 The Editor(s) (if a

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Assessing Efficiency Benefits of Edge Intelligencece rewards for accuracy and cost and thus improve selection of best deep learning algorithms and platforms. Recognition and training efficiency universally compare deep learning based on energy consumption measurements for inference and deep learning, on recognition gradients, and on number of class

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Wi-Monitor: Wi-Fi Channel State Information-Based Crowd Counting with Lightweight and Low-Cost IoT Dy accurate privacy-conscious method. However, the problem with CSI-based crowd counting is the size and cost of the CSI collecting tool. Most studies benefiting from CSI collection use laptops with specific Network Interface Cards (NICs). The size and cost of the laptops restrict the practicability

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Blockchain for Economy of Scale in Wind Industry: A Demo Casein technology. This study includes investigation on mapping of supply chain and commodity products related end-to-end life cycle associated data and operational events. Furthermore, identification and blueprinting of the requirements have been pursued for enabling traceability at various stages of t

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Sleep Stage Detection on a Wearable Headband Using Deep Neural Networksan IoT structure for capturing data. As well as an algorithm that can detect Sleep Stages using EOG data from our device. Previous attempts at classifying sleep always use data from double-channel EOG data. Initially, we used a labelled sleep dataset from the University of Wisconsin to train our neu

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