Browsing Technological University of the Shannon: Midlands Midwest by Author "Alsamhi, Saeed H."
Now showing items 1-12 of 12
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Block-chain empowered multi-robot collaboration to fight COVID-19 and future pandemics
Alsamhi, Saeed H.; Lee, Brian (IEEE, 2021-03-25)This conceptual paper overviews how blockchain technology is involving the operation of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising technology for providing many tasks ... -
Blockchain for decentralized multi-drone to combat COVID-19
Alsamhi, Saeed H.; Lee, Brian; Guizani, Mohsen; Kumar, N.; Qiao, Yuansong; Liu, Xuan (Wiley, 2021-03-17)Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ... -
Blockchain-empowered digital twins collaboration: smart transportation use case.
Sahal, Radhya; Alsamhi, Saeed H.; Brown, Kenneth N.; O'Shea, Donna; McCarthy, Connor; Guizani, Mohsen (2021-09-09)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 manufacturing, providing up-to-date operational data representation ... -
Collaboration of drone and Internet of public safety things in smart cities: an overview of Qos and network performance optimization.
Alsamhi, Saeed H.; Ma, Ou; Ansari, M. Samar; Gupta, Sachin Kumar (MDPI, 2019-01-27)This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless communication services for ... -
Digital twins collaboration for automatic erratic operational data detection in industry 4.0
Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Brown, Kenneth N.; Ali, Muhammad Intizar (MDPI, 2021-04-02)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 parallel journey from design and development to production and ... -
Green internet of things using UAVs in B5G networks: a review of applications and strategies
Alsamhi, Saeed H.; Afghah, Fatemeh; Sahal, Radhya; Hawbani, Ammar; Al-qaness, Mohammad A. A.; Lee, Brian; Guizani, Mohsen (Elsevier, 2021-04-03)Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ... -
Green IoT for eco-friendly and sustainable smart cities: future directions and opportunities
Almalki, Faris A.; Alsamhi, Saeed H.; Sahal, Radhya; Hassan, Jahan; Hawbani, Ammar; Rajput, N.S.; Saif, Abdu; Morgan, Jeff; Breslin, John (Springer, 2021-08-17)The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such ... -
Industry 4.0 towards Forestsry 4.0: fire dection use case
Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Ali, Muhammad Intizar (MDPI, 2021-01-20)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 efficient and sustainable forest management. Environmental ... -
A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs
Almalki, Faris A.; Soufiene, Ben Othman; Alsamhi, Saeed H.; Sakli, Hedi (MDPI, 2021-05-24)When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This ... -
Machine learning for smart environments in B5G networks: connectivity and QoS
Alsamhi, Saeed H.; Almalki, Faris, A.; Al-Dois, Hatem; Othman, Soufiene Ben; Hassan, Jahan; Hawbani, Anmar; Sahal, Radyah; Lee, Brian; Saleh, Hager (Hindawi, 2021-09-20)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 dynamism and uncertainty complicate this landscape dramatically and ... -
OPCNN-FAKE: Optimized convolutional neural network for fake news detection
Saleh, Hager; Alharbi, Abdullah; Alsamhi, Saeed H. (IEEE, 2021-09-14)Recently, there is a rapid and wide increase in fake news, de ned as provably incorrect information spread with the goal of fraud. The spread of this type of misinformation is a severe danger to social cohesiveness and ... -
A reliable and energy efficient dual prediction data reduction approach to WSNs based on Kalman filter
Wang, Haibin; Yemeni, Zaid; Ismael, Waleed M.; Hawbani, Ammar; Alsamhi, Saeed H. (Wiley, 2021-07-29)Wireless sensor networks (WSNs) are critically resource-constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is ...