Search Results - "Alsamhi, Saeed Hamood"

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  1. 1

    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

    Published in IEEE Communications surveys and tutorials (01-04-2024)
    “…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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    Journal Article
  2. 2

    Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Hamood Alsamhi, Saeed, Hawbani, Ammar, Shvetsov, Alexey V., Kumar, Santosh

    Published in Advances in human-computer interaction (25-10-2023)
    “…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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  3. 3

    Multisensory Metaverse-6G: A New Paradigm of Commerce and Education by ALSAMH, Mohammed H., Hawbani, Ammar, Kumar, Santosh, Hamood Alsamhi, Saeed

    Published in IEEE access (2024)
    “…Multisensory Metaverse applications ignite a revolution across industries, captivating audiences with immersive experiences. With the impending release of 6G…”
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  4. 4

    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

    Published in IEEE access (2024)
    “…Multivariate time series (MTS) forecasting is a rapidly expanding field with diverse and futuristic applications. However, traditional statistical learning…”
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  5. 5

    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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  6. 6

    OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection by Saleh, Hager, Alharbi, Abdullah, Alsamhi, Saeed Hamood

    Published in IEEE access (2021)
    “…Recently, there is a rapid and wide increase in fake news, defined as provably incorrect information spread with the goal of fraud. The spread of this type of…”
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  7. 7

    Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0 by Srivastava, Rupal, Alsamhi, Saeed Hamood, Murray, Niall, Devine, Declan

    Published in Sensors (Basel, Switzerland) (01-09-2022)
    “…Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to medical…”
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  8. 8

    Blockchain Meets Federated Learning in Healthcare: A Systematic Review with Challenges and Opportunities by Myrzashova, Raushan, Alsamhi, Saeed Hamood, Shvetsov, Alexey V., Hawbani, Ammar, Wei, Xi

    Published in IEEE internet of things journal (15-08-2023)
    “…Recently, innovations in the Internet-of-Medical- Things (IoMT), information and communication technologies, and Machine Learning (ML) have enabled smart…”
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  9. 9

    A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques by Kumar, Santosh, Chaube, Mithilesh Kumar, Alsamhi, Saeed Hamood, Gupta, Sachin Kumar, Guizani, Mohsen, Gravina, Raffaele, Fortino, Giancarlo

    “…•A novel multimodal framework is proposed for COVID-19 patients early diagnosis and accurate prediction using DL techniques.•Chest X-ray images and cough-based…”
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  10. 10

    Drones' Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy by Alsamhi, Saeed Hamood, Almalki, Faris A., Afghah, Fatemeh, Hawbani, Ammar, Shvetsov, Alexey V., Lee, Brian, Song, Houbing

    “…Edge Intelligence is an emerging technology which has attracted significant attention. It applies Artificial Intelligence (AI) closer to the network edge for…”
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  11. 11

    LSB‐XOR technique for securing captured images from disaster by UAVs in B5G networks by Syed, Farheen, Alsamhi, Saeed Hamood, Gupta, Sachin Kumar, Saif, Abdu

    Published in Concurrency and computation (30-05-2024)
    “…Summary Recently, unmanned aerial vehicles (UAV) technology has been utilized to monitor and capture images from disasters to analyze, process, and take action…”
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  12. 12

    Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review by Hazmy, Asa Ibnu, Hawbani, Ammar, Wang, Xingfu, Al-Dubai, Ahmed, Ghannami, Aiman, Yahya, Ali Abdullah, Zhao, Liang, Alsamhi, Saeed Hamood

    Published in IEEE sensors journal (15-02-2024)
    “…Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved productivity and efficiency. However, adopting Agriculture 4.0…”
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  13. 13

    UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation by Alsamhi, Saeed Hamood, Shvetsov, Alexey V., Kumar, Santosh, Shvetsova, Svetlana V., Alhartomi, Mohammed A., Hawbani, Ammar, Rajput, Navin Singh, Srivastava, Sumit, Saif, Abdu, Nyangaresi, Vincent Omollo

    Published in Drones (Basel) (01-07-2022)
    “…Disasters are crisis circumstances that put human life in jeopardy. During disasters, public communication infrastructure is particularly damaged, obstructing…”
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  14. 14

    Securing IoT Data: FDUP-RDIC-A Fully Decentralized Approach for Privacy-Preserving and Efficient Data Integrity by Peng, Su, Kumar, Neeraj, Alsamhi, Saeed Hamood, He, Qiang, Zhao, Liang

    Published in IEEE internet of things journal (15-10-2024)
    “…By the limitations of storage capacity and computing power, Internet of Things (IoT) devices may prefer to outsource their valuable and sensitive data to cloud…”
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  15. 15

    An IoT-Enabled E-Nose for Remote Detection and Monitoring of Airborne Pollution Hazards Using LoRa Network Protocol by Kumar, Kanak, Chaudhri, Shiv Nath, Rajput, Navin Singh, Shvetsov, Alexey V, Sahal, Radhya, Alsamhi, Saeed Hamood

    Published in Sensors (Basel, Switzerland) (19-05-2023)
    “…Detection and monitoring of airborne hazards using e-noses has been lifesaving and prevented accidents in real-world scenarios. E-noses generate unique…”
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  16. 16

    Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0 by Alsamhi, Saeed Hamood, Shvetsov, Alexey V., Kumar, Santosh, Hassan, Jahan, Alhartomi, Mohammed A., Shvetsova, Svetlana V., Sahal, Radhya, Hawbani, Ammar

    Published in Drones (Basel) (01-07-2022)
    “…Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications in the Beyond Fifth Generation (B5G)…”
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  17. 17

    Leveraging Machine Learning for Cybersecurity Resilience in Industry 4.0: Challenges and Future Directions by Yu, Jia, Shvetsov, Alexey V., Hamood Alsamhi, Saeed

    Published in IEEE access (2024)
    “…Industry 4.0, where the convergence of digital technology impacts industrial operations and processes, is characterized by cybersecurity resilience. Therefore,…”
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  18. 18

    Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm by Chaudhri, Shiv Nath, Rajput, Navin Singh, Alsamhi, Saeed Hamood, Shvetsov, Alexey V, Almalki, Faris A

    Published in Sensors (Basel, Switzerland) (15-04-2022)
    “…Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial…”
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  19. 19

    Federated Learning Meets Blockchain in Decentralized Data Sharing: Healthcare Use Case by Alsamhi, Saeed Hamood, Myrzashova, Raushan, Hawbani, Ammar, Kumar, Santosh, Srivastava, Sumit, Zhao, Liang, Wei, Xi, Guizan, Mohsen, Curry, Edward

    Published in IEEE internet of things journal (01-06-2024)
    “…In the era of data-driven healthcare, the amalgamation of blockchain and federated learning (FL) introduces a paradigm shift toward secure, collaborative, and…”
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  20. 20

    A Dynamic Opportunistic Routing Protocol for Asynchronous Duty-Cycled WSNs by Wang, Xingfu, Zhou, Wenkang, Hawbani, Ammar, Liu, Ping, Zhao, Liang, Alsamhi, Saeed Hamood

    Published in IEEE transactions on sustainable computing (01-07-2023)
    “…Opportunistic routing (OR) is widely adopted in Wireless Sensor Networks (WSNs) running asynchronous duty-cycled MAC protocols. In conventional routing, where…”
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