Urbanization has led to increased traffic congestion and air pollution, primarily from vehicle emissions, posing risks to public health and the environment. Existing traffic management systems are inefficient in integ...
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In recent years, deep learning based malicious traffic detection (MTD) systems have demonstrated remarkable success. However, their effectiveness tend to decrease because most malicious traffic datasets are suffered f...
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Cross-channel unlabeled sensing addresses the problem of recovering a multi-channel signal from measurements that were shuffled across channels. This work expands the cross-channel unlabeled sensing framework to signa...
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Today, all countries have a socio-economic concern about the healthcare services. Advanced healthcare systems leverage technology, such as the Internet of Things (IoT), to enhance quality and reduce costs. IoT integra...
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It is quite challenging to monitor goods quality or security issues due to the intricacy of a tracking system, particularly for the fundamental farming food supply chains that contribute to making up everyday feeds of...
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We developed a simple and eco-friendly fabrication method of a suspended 1D nanoheater for ultralow power thermal conductivity detector (TCD)-type gas sensors. The nanoheater was fabricated through selective metal dep...
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Improving the precision of GPS/IMU localisation in autonomous cars is crucial for ensuring safe and efficient navigation. Several research studies have concentrated on enhancing the precision of localisation systems b...
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data generated by industrial systems such as District Heating (DH) often lack meaningful labels for supervised Machine Learning (ML) methods in anomaly detection. Consequently, unsupervised and semi-supervised ML meth...
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The development of intelligent industrial applications is being driven globally by advancements in the next generation of Internet of Things (IoT) technologies. At the same time, artificial intelligence (AI) technolog...
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Ensuring data quality in decision-making is essential, as it directly impacts the reliability of insights and business decisions based on data. data quality measuring can be resource-intensive, and it is challenging t...
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