Search Results - "Alsamhi, Saeed"

Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry by Sahal, Radhya, Alsamhi, Saeed H, Brown, Kenneth N

“…Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the…”
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Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities by Alsamhi, Saeed H., Ma, Ou, Ansari, Mohammad Samar, Almalki, Faris A.

“…Smart cities contain intelligent things which can intelligently automatically and collaboratively enhance life quality, save people's lives, and act a…”
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A survey on recent optimal techniques for securing unmanned aerial vehicles applications by Syed, Farheen, Gupta, Sachin Kumar, Alsamhi, Saeed, Rashid, Mamoon, Liu, Xuan

“…Unmanned aerial vehicles (UAVs) or Drones technology has a huge potential for supporting different efficient solutions for the smart applications in our world…”
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Industry 4.0 towards Forestry 4.0: Fire Detection Use Case by Sahal, Radhya, Alsamhi, Saeed H, Breslin, John G, Ali, Muhammad Intizar

“…Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for…”
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ESSENT: an arithmetic optimization algorithm with enhanced scatter search strategy for automated test case generation by Li, Xiguang, Feng, Baolu, Sun, Yunhe, Hawbani, Ammar, Hammod Alsamhi, Saeed, Zhao, Liang

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Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case by Sahal, Radhya, Alsamhi, Saeed H., Brown, Kenneth N., O’Shea, Donna, McCarthy, Conor, Guizani, Mohsen

“…Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed…”
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Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities by Tallat, Raiha, Hawbani, Ammar, Wang, Xingfu, Al-Dubai, Ahmed, Zhao, Liang, Liu, Zhi, Min, Geyong, Zomaya, Albert Y., Hamood Alsamhi, Saeed

“…This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying…”
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Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization by Alsamhi, Saeed, Ma, Ou, Ansari, M., Gupta, Sachin

“…This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in…”
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Routing protocols classification for underwater wireless sensor networks based on localization and mobility by Ismail, A. S., Wang, XingFu, Hawbani, Ammar, Alsamhi, Saeed, Abdel Aziz, Samah

“…Underwater wireless sensor network (UWSN) is a new technolog that can be used for various purposes, including ocean tracking and underwater exploration,…”
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Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case by Sahal, Radhya, Alsamhi, Saeed H., Brown, Kenneth N., O’Shea, Donna, Alouffi, Bader

“…Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial…”
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An improved YOLO-based road traffic monitoring system by Al-qaness, Mohammed A. A., Abbasi, Aaqif Afzaal, Fan, Hong, Ibrahim, Rehab Ali, Alsamhi, Saeed H., Hawbani, Ammar

“…The growing population in large cities is creating traffic management issues. The metropolis road network management also requires constant monitoring, timely…”
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A reliable and energy efficient dual prediction data reduction approach for WSNs based on Kalman filter by Wang, Haibin, Yemeni, Zaid, Ismael, Waleed M., Hawbani, Ammar, Alsamhi, Saeed H.

“…Wireless sensor networks (WSNs) are critically resource‐constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and…”
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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Hamood Alsamhi, Saeed, Hawbani, Ammar, Shvetsov, Alexey V., Kumar, Santosh

“…The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards a more resilient future, particularly concerning…”
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Multisensory Metaverse-6G: A New Paradigm of Commerce and Education by ALSAMH, Mohammed H., Hawbani, Ammar, Kumar, Santosh, Hamood Alsamhi, Saeed

“…Multisensory Metaverse applications ignite a revolution across industries, captivating audiences with immersive experiences. With the impending release of 6G…”
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Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS by Alsamhi, Saeed H., Almalki, Faris A., Al-Dois, Hatem, Ben Othman, Soufiene, Hassan, Jahan, Hawbani, Ammar, Sahal, Radyah, Lee, Brian, Saleh, Hager

“…The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of…”
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Blockchain for decentralized multi‐drone to combat COVID‐19 and future pandemics: Framework and proposed solutions by Alsamhi, Saeed Hamood, Lee, Brian, Guizani, Mohsen, Kumar, Neeraj, Qiao, Yuansong, Liu, Xuan

“…Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID‐19) due to the transport of goods, medical supplies to a given…”
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Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0 by Sahal, Radhya, Alsamhi, Saeed H., Breslin, John G., Brown, Kenneth N., Ali, Muhammad Intizar

“…Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a…”
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Early MTS Forecasting for Dynamic Stock Prediction: A Double Q-Learning Ensemble Approach by Kumar, Santosh, Alsamhi, Mohammed H., Kumar, Sunil, Shvetsov, Alexey V., Hamood Alsamhi, Saeed

“…Multivariate time series (MTS) forecasting is a rapidly expanding field with diverse and futuristic applications. However, traditional statistical learning…”
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POWER: probabilistic weight-based energy-efficient cluster routing for large-scale wireless sensor networks by Farooq, Muhammad Umar, Wang, Xingfu, Hawbani, Ammar, Khan, Asad, Ahmed, Adeel, Alsamhi, Saeed, Qureshi, Bushra

“…Cluster-based routing has been regarded as an appealing technique with limited resources for wireless sensor networks (WSNs) where dynamic clustering is a…”
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Machine Learning-Assisted Adaptive Modulation for Optimized Drone-User Communication in B5G by Gopi, Sudheesh, Magarini, Maurizio, Alsamhi, Saeed, Shvetsov, Alexey

“…The fundamental issue for Beyond fifth Generation (B5G) is providing a pervasive connection to heterogeneous and various devices in smart environments…”
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