Search Results - "Hameed, Aroosa"

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario by Hameed, Aroosa, Violos, John, Leivadeas, Aris

“…As the number of Internet of Things (IoT) devices and applications increases, the capacity of the IoT access networks is considerably stressed. This can create…”
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Privacy-Preserved Ranking of Industrial Sensing Services Using Topological Information by Hameed, Aroosa, Usman, Muhammad, Maqbool, Onaiza

“…The sensing-as-a-service paradigm has realized a number of contemporary industrial Internet-of-things applications. In this article, we have considered an…”
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A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means by Tsanakas, Stylianos, Hameed, Aroosa, Violos, John, Leivadeas, Aris

“…In this article we study how we can transfer knowledge between mobility models that represent different locations and means of transport. Specifically, we…”
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Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain by Danish, Syed Muhammad, Hameed, Aroosa, Ranjha, Ali, Srivastava, Gautam, Zhang, Kaiwen

“…The increased charging demand resulting from the rapid development of electric vehicles (EVs) poses various challenges to the stable operation of the…”
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FeD-TST: Federated Temporal Sparse Transformers for QoS prediction in Dynamic IoT Networks by Hameed, Aroosa, Violos, John, Santi, Nina, Leivadeas, Aris, Mitton, Nathalie

“…Internet of Things (IoT) applications generate tremendous amounts of data streams which are characterized by varying Quality of Service (QoS) indicators. These…”
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Toward QoS Prediction Based on Temporal Transformers for IoT Applications by Hameed, Aroosa, Violos, John, Leivadeas, Aris, Santi, Nina, Grunblatt, Remy, Mitton, Nathalie

“…Internet of Things (IoT) devices generate a tremendous amount of time series data that is extremely dynamic, heterogeneous and time dependent. Such types of…”
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Towards QoS Prediction based on Temporal Transformers for IoT Applications by Hameed, Aroosa, Violos, John, Leivadeas, Aris, Santi, Nina, Grünblatt, Rémy, Mitton, Nathalie

“…Internet of Things (IoT) devices generate a tremendous amount of time series data that is extremely dynamic, heterogeneous and time dependent. Such types of…”
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IoT Traffic Multi-Classification Using Network and Statistical Features in a Smart Environment by Hameed, Aroosa, Leivadeas, Aris

“…As the number of Internet of Things (IoT) devices and applications increases, the capacity of the IoT access networks is considerably stressed. This can create…”
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A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment by Hameed, Aroosa, Violos, John, Santi, Nina, Leivadeas, Aris, Mitton, Nathalie

“…The success of Internet of Things (IoT) has significantly increased the volume of data generated by various smart applications. However, as many of these…”
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Sum-of-the-Parts Valuation-Based Scheduling of Parallel Applications over Global Grid by Hameed, Aroosa, Usman, Muhammad

“…Grid schedulers efficiently map grid jobs to resources over the global grid network. The existing double auction-based meta-schedulers productively schedule…”
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An Unsupervised Machine Learning Approach for IoT Device Categorization by Sawadogo, Faical, Violos, John, Hameed, Aroosa, Leivadeas, Aris

“…Internet of Things (IoT) along with the advances in the recently emerged Edge Computing environment, have allowed the introduction of new and very diverse…”
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Blockchain-as-a-Service: Architecture, Opportunities and Challenges by Danish, Syed Muhammad, Srivastava, Gautam, Nourmohammadi, Reza, Ashraf, Nouman, Ranjha, Ali, Hameed, Aroosa

“…Blockchains are usually managed by blockchain nodes, which maintain a copy of all the blockchain's data and participate in validating transactions and reaching…”
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