Search Results - "Tabatabai, Shadha"

Utilizing Machine Learning Models to Predict the Car Crash Injury Severity among Elderly Drivers by Al Mamlook, Rabia Emhamed, Abdulhameed, Tiba Zaki, Hasan, Raed, Al-Shaikhli, Hasnaa Imad, Mohammed, Ihab, Tabatabai, Shadha

“…Car crash can cause serious and severe injuries that impact people every day. Those injuries could be especially damaging for elderly drivers of age 60 or…”
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Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning by Mohammed, Ihab, Tabatabai, Shadha, Al-Fuqaha, Ala, Bouanani, Faissal El, Qadir, Junaid, Qolomany, Basheer, Guizani, Mohsen

“…Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer…”
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Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud by Tabatabai, Shadha, Mohammed, Ihab, Al-Fuqaha, Ala, Qadir, Junaid

“…The Internet of Things (IoT) revolution and the development of smart communities have resulted in increased demand for bandwidth due to the rise in network…”
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Management of Data Brokers in Support of Smart Community Applications by Tabatabai, Shadha Muhi Noor

“…The widespread use of smart devices has led to the Internet of Things (IoT) revolution. Big data generated by billions of devices must be analyzed to make…”
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Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure by Mohammed, Ihab, Tabatabai, Shadha, Al-Fuqaha, Ala, Qadir, Junaid

“…Interest in smart cities is rapidly rising due to the global rise in urbanization and the wide-scale instrumentation of modern cities. Due to the considerable…”
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Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data by Tabatabai, Shadha, Mohammed, Ihab, Qolomany, Basheer, Albaseer, Abdullatif, Ahmad, Kashif, Abdallah, Mohamed, Al-Fuqaha, Ala

“…Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning (ML) in a distributed manner without directly accessing private…”
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Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data by Tabatabai, Shadha, Mohammed, Ihab, Qolomany, Basheer, Albasser, Abdullatif, Ahmad, Kashif, Abdallah, Mohamed, Al-Fuqaha, Ala

“…Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning (ML) in a distributed manner without directly accessing private…”
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Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud by Tabatabai, Shadha, Mohammed, Ihab, Al-Fuqaha, Ala, Qadir, Junaid

“…The Internet of Things (IoT) revolution and the development of smart communities have resulted in increased demand for bandwidth due to the rise in network…”
Get full text

Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure by Mohammed, Ihab, Tabatabai, Shadha, Al-Fuqaha, Ala, Qadir, Junaid

“…Interest in smart cities is rapidly rising due to the global rise in urbanization and the wide-scale instrumentation of modern cities. Due to the considerable…”
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Managing a cluster of IoT brokers in support of smart city applications by Tabatabai, Shadha, Mohammed, Ihab, Al-Fuqaha, Ala, Salahuddin, Mohammad A.

“…Publish/subscribe brokers enable the efficient dissemination of events to a large number of subscribers in support of smart city applications. These events…”
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Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning by Mohammed, Ihab, Tabatabai, Shadha, Al-Fuqaha, Ala, Bouanani, Faissal El, Qadir, Junaid, Qolomany, Basheer, Guizani, Mohsen

“…Machine Learning (ML), and Deep Learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques however suffer…”
Get full text