Search Results - (( iot applications among algorithm ) OR ( based application learning algorithm ))*

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  1. 1
    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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  2. 2
    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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  3. 3
    Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics

    Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Shatat, Abdallah Saleh Ali, Akhtar, Md. Mobin, Rizwanullah, Mohammed, Mohamed, Sara Saadeldeen Ibrahim

    Published 2024
    “…Likewise, in this paper, a machine learning-based big data analytics model is developed for predictingmulti-diseases to provide a better decision support system for various healthcare applications. …”
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  4. 4
    Efficient and scalable ant colony optimization based WSN routing protocol for IoT

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
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  5. 5
    An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar

    An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

    Published 2021
    “…Conventional AR-IoT applications only specialize in the localized area for the on-site application and not applicable for a remote monitoring system. …”
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  6. 6
    Extended RECTANGLE Algorithm Using 3D Bit Rotation to Propose a New Lightweight Block Cipher for IoT

    Extended RECTANGLE Algorithm Using 3D Bit Rotation to Propose a New Lightweight Block Cipher for IoT by Zakaria, Abdul Alif, Azni, A. H., Ridzuan, Farida, Zakaria, Nur Hafiza, Daud, Maslina

    Published 2024
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  7. 7
    Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications

    Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications by Rafique, Majid

    Published 2025
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  8. 8
    Genetic algorithm based adaptive offloading for improving IoT device communication efficiency

    Genetic algorithm based adaptive offloading for improving IoT device communication efficiency by Hussain, Azham, Manikanthan, S. V., Padmapriya, T., Nagalingam, Mahendran

    Published 2019
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  9. 9
    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway

    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

    Published 2023
    “…In the vast nature of the Internet of Things (IoT) network, UAVs could work as Aerial Gateway (AG) for communications among low-powered and distributed ground IoT Devices (IDs). …”
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  10. 10
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The proposed algorithm improved the response time, delay, number of offloaded tasks, throughput, and energy consumption of the IoT requests. …”
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  11. 11
    Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020

    Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020 by Olanrewaju, Rashidah Funke Olanrewaju, Anwar, Farhat, Khan, Burhan Ul Islam

    Published 2019
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  12. 12
    Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications

    Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications by IZZAH NILAMSYUKRIYAH, BUANG, Kartinah, Zen, Syahrul Nizam, Junaini

    Published 2025
    “…Abstract: The proliferation of Internet of Things (IoT) applications has significantly increased the demand for communication protocols that are both resilient and energy-efficient. …”
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  13. 13
    Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area

    Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area by Lim , Yen Ruen

    Published 2017
    “…In conclusion, the SHA-3 with smaller area and higher performance has been designed and is possible to cater the needs of IoT application.…”
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  14. 14
    Grouping based radio frequency identification anti-collision protocols for dense internet of things application

    Grouping based radio frequency identification anti-collision protocols for dense internet of things application by Umelo, Nnamdi H., Noordin, Nor K., A. Rasid, Mohd Fadlee, Geok, Tan K., Hashim, Fazirulhisyam

    Published 2022
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  15. 15
    E4ML: Educational Tool for Machine Learning

    E4ML: Educational Tool for Machine Learning by Sainin, Mohd Shamrie, Siraj, Fadzilah

    Published 2003
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  16. 16
    Clustering ensemble learning method based on incremental genetic algorithms

    Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

    Published 2012
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  17. 17
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
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  18. 18
    Propose a New Machine Learning Algorithm based on Cancer Diagnosis

    Propose a New Machine Learning Algorithm based on Cancer Diagnosis by Ali, Mohammed Hasan, Kohbalan, Moorthy, Anad, Mohammed Morad, Mohammed, Mohammed Abdulameer

    Published 2018
    “…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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  19. 19
    Routing protocols performance on 6LoWPAN IoT networks

    Routing protocols performance on 6LoWPAN IoT networks by Abdul Razak, Siti Fatimah, Pei, Siang Chia, Kamis, Noor Hisham, Yogarayan, Sumendra, S. M. M Yassin, S. M. Warusia Mohamed, Abdollah, Mohd Faizal

    Published 2025
    “…The result also shows that RPL is the most power efficient protocol among the scenarios compared to LOADng and AODV. …”
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  20. 20
    A modified generalized RBF model with EM-based learning algorithm for medical applications

    A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

    Published 2006
    “…In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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