Internet of Things

Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic

Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic

Abstract The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of SARS-CoV-2, has terrified worldwide human health. Primarily, COVID-19 challenges can be categorized into (a) way of […]

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IoT-Based Energy Efficiency inSmart HomesbySmartLighting Solutions

IoT – Based Energy Efficiency in Smart Homes by Smart Lighting Solutions

Abstract Smart home systems have achieved great popularity in recent years as they increase the comfort and quality of life. Significant developments on the Internet of Things have captured the

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Performance Analysis of Distributed and Scalable Deep Learning(DL)

Performance Analysis of Distributed and Scalable Deep Learning(DL)

Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning

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IoT, big data and artificial intelligence in agriculture and food industry

IoT, big data and artificial intelligence in agriculture and food industry

Abstract Internet of things (IoT) results in a massive amount of streaming data, often referred to as “big data”, which brings new opportunities to monitor agricultural and food processes. Besides

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Research on the Application of Face Recognition Technology in Public Service of Smart City

Research on the Application of Face Recognition Technology in Public Service of Smart City

Abstract In order to realize the application of face recognition technology in the public service of smart cities, this paper proposes a novel application method of face recognition technology based

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Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Abstract The intelligent industrial environment developed with the support of the new generation network physics system (CPS) can realize the high concentration of information resources. In order to carry out

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An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection

An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection

Abstract Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each

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