Search Results - (( iot applications learning algorithms ) OR ( based application system algorithm ))

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  1. 1
    IOT-based fertigation system / Mohamad Amir Furqan Darus

    IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

    Published 2024
    “…This abstract outlines an IoT-based fertigation system, focusing on key components like the ESP32 (ESPDuino-32), MDD3A Cytron motor driver, EC sensor, and water pump, and emphasizes its advantages.The IoT system incorporates various sensors, including those for soil moisture, temperature, humidity, nutrients, and Ph. …”
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  2. 2
    Intrusion detection system for the internet of things based on blockchain and multi-agent systems

    Intrusion detection system for the internet of things based on blockchain and multi-agent systems by Liang, Chao, Shanmugam, Bharanidharan, Azam, Sami, Karim, Asif, Islam, Ashraful, Zamani, Mazdak, Kavianpour, Sanaz, Idris, Norbik Bashah

    Published 2020
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  3. 3
    Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system

    Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system by Balla, Asaad, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Mubarak, Sinil

    Published 2022
    “…These methods could be hardware-based, such as Intrusion Detection Systems (IDS), software-based, or managerial-based. …”
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  4. 4
    Development of IoT-based automated dynamic emergency response system against fire incidents in academic building

    Development of IoT-based automated dynamic emergency response system against fire incidents in academic building by Al-Hady, Syed Mohammed Zakaria, Islam, Md Rafiqul, Rashid, Muhammad Mahbubur

    Published 2023
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  5. 5
    Smart agriculture: precision farming through sensor-based crop monitoring and control system

    Smart agriculture: precision farming through sensor-based crop monitoring and control system by Mohamad Hakhrani, Asyful Azhim, Abdul Hamid, Syamsul Bahrin

    Published 2024
    “…Consequently, this project endeavours to develop a system that seamlessly integrates both IoT and machine learning components, culminating in an advanced system capable of real-time crop monitoring and growth prediction. …”
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  6. 6
    Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment

    Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

    Published 2022
    “…Here, the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model. …”
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  7. 7
    IoT alarm system: detecting & preventing microsleep events

    IoT alarm system: detecting & preventing microsleep events by Azhar, Ahmad Mirza, Awang, Norkhushaini

    Published 2024
    “…Node-RED, a powerful visual programming tool used for developing IoT applications, facilitated the creation of an intuitive and informative dashboard.…”
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  8. 8
    Energy consumption optimization in the smart homes

    Energy consumption optimization in the smart homes by Shah, Asadullah

    Published 2021
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  9. 9
    Deep reinforcement learning online offloading for SWIPT multiple access edge computing network

    Deep reinforcement learning online offloading for SWIPT multiple access edge computing network by Teckchai, Tiong, Ismail Saad, Tze, Kenneth Kin Teo, Herwansyah Lago

    Published 2021
    “…In this paper, a SWIPT-based MEC system is proposed, comprising a multi-antenna access point (AP), multiple single antenna low power IoT devices and a MEC server. …”
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  10. 10
    Trust-aware authentication and authorization for IoT: a federated machine learning approach

    Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

    Published 2024
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  11. 11
    Internet of Things (IoT) applications for estrus detection and management in precision livestock farming: a review

    Internet of Things (IoT) applications for estrus detection and management in precision livestock farming: a review by Ashraf, Arselan, Nisa, Syed Qamrun, Ashraf, Afreen, Gunawan, Teddy Surya, Sophian, Ali

    Published 2026
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  12. 12
    Software agent as an effective tool for managing the Internet of thing data complexity

    Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

    Published 2017
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  13. 13
    Smart attendance system with Iot based face recognition using deep learning approach

    Smart attendance system with Iot based face recognition using deep learning approach by Seah, You

    Published 2023
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  14. 14
    Implementing server-side federated learning in an edge-cloud framework for precision aquaculture

    Implementing server-side federated learning in an edge-cloud framework for precision aquaculture by Ng, Bryan Jing Hong

    Published 2025
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  15. 15
    A question-centric review on DRL-based optimization for UAV-assisted MEC sensor and IoT applications, challenges, and future directions

    A question-centric review on DRL-based optimization for UAV-assisted MEC sensor and IoT applications, challenges, and future directions by Ahmed Amodu, Oluwatosin, Raja Mahmood, Raja Azlina, Althumali, Huda, Jarray, Chedia, Adnan, Mohd Hirzi, Bukar, Umar Ali, Abdullah, Nor Fadzilah, Nordin, Rosdiadee, Ahmad Zukarnain, Zuriati

    Published 2025
    “…This paper aims to answer twelve important research questions relating to the research on DRL for Mobile Edge Computing (MEC)-based UAV-assisted sensor and IoT applications from 47 systematically selected articles. …”
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  16. 16
    Selective of IoT applications for water quality monitoring in Malaysia

    Selective of IoT applications for water quality monitoring in Malaysia by Zainuddin, Ahmad Anwar, Amir Hussin, Amir 'Aatieff, Annas, Ammar Haziq, Bharudin, Mohamad Syafiq Asyraf, Abdul Rajat @ Abdul Razak, Alin Farhain, Mahazir, Muhammad Nur Badri, Ahmad Puzi, Asmarani, Handayani, Dini Oktarina Dwi, Abdul Raziff, Abdul Rafiez

    Published 2024
    “…Our disease detection system utilizes real-time sensors, machine learning algorithms, and IoT technology to swiftly identify pathogen indicators. …”
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  17. 17
    Double Deep RL-based strategy for UAV-assisted energy harvesting optimization in disaster-resilient IoT networks

    Double Deep RL-based strategy for UAV-assisted energy harvesting optimization in disaster-resilient IoT networks by Elmadina, Nahla Nur, Saeed, Rashid A, Saeid, Elsadig, Ali, Elmustafa Sayed, Nafea, Ibtehal, Ahmed, Mayada A, Mokhtar, Rania A, Khalifa, Othman Omran

    Published 2024
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  18. 18
    Face reidentification system to track factory visitors using OpenVINO

    Face reidentification system to track factory visitors using OpenVINO by Wong, Yiek Heng

    Published 2020
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  19. 19
    Adaptive security architecture for protecting RESTful web services in enterprise computing environment

    Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

    Published 2018
    “…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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  20. 20
    Adaptive security architecture for protecting RESTful web services in enterprise computing environment

    Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

    Published 2018
    “…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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