Titlebook: 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023”; New Trends in Artifi Mohamed Ridda Laouar,Val

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https://doi.org/10.1007/978-3-663-12983-7thods. An Electrocardiogram (ECG) signal is one of the biological signals that can be used to detect OSA. This review provides a comprehensive overview of the use of deep learning techniques, such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks for OSA detection fr

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,Anpassung des Übergangsgeldes,nd agriculture. The use of one single UAV may lead to some efficiency-related issues such as energy limits, absence of covering, natural difficulties, etc. the Flaying Ad Hoc Networks (FANET) are used to ensure communication for UAVs swarms instead of using a single UAV to communicate with Ground st

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Kredite an Handelsgesellschaften,rs (VAEs). Owing to the substantial increase in smart meter deployment, real-time data becomes crucial for analyzing electricity consumption patterns and identifying anomalies. Existing anomaly detection approaches often lack adaptability to dynamic environments and suffer from false positives, part

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https://doi.org/10.1007/978-3-663-13895-2k, where energy consumption is considered one of the major challenges of communication protocol options. Hierarchical data routing in Wireless Sensor Networks (WSNs) represents a distinct category of routing protocols. This category includes approaches that implement a reorganization of the physical

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