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  1. 1
    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

    Published 2015
    “…This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. …”
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  2. 2
    iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems

    iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems by Azad, Saiful, Mahmud, Mufti, Kamal Zuhairi, Zamli, Kaiser, M. Shamim, Jahan, Sobhana, Razzaque, Md Abdur

    Published 2024
    “…An aid to this is the association rule learning (ARL) paradigm, whose models are computationally inexpensive and do not require a long training time. Therefore, this paper proposes an ARL-based intelligent Behavioural Trust Model (iBUST) for securing the CPPS. …”
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  3. 3
    An intelligent hybrid short-term load forecasting model for smart power grids

    An intelligent hybrid short-term load forecasting model for smart power grids by Raza, M.Q., Nadarajah, M., Hung, D.Q., Baharudin, Z.

    Published 2017
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  4. 4
    Leveraging artificial intelligence in modern supply chains

    Leveraging artificial intelligence in modern supply chains by Ng, Qiao Ying

    Published 2025
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  5. 5
    Energy management scheduling for microgrids in the virtual power plant system using artificial neural networks

    Energy management scheduling for microgrids in the virtual power plant system using artificial neural networks by Abdolrasol M.G.M., Hannan M.A., Suhail Hussain S.M., Ustun T.S., Sarker M.R., Ker P.J.

    Published 2023
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  6. 6
    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
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  7. 7
    IOT Based Smart Wastewater Treatment Model for Industry 4.0 Using Artificial Intelligence

    IOT Based Smart Wastewater Treatment Model for Industry 4.0 Using Artificial Intelligence by Singh, D.N., Murugamani, C., Kshirsagar, P.R., Tirth, V., Islam, S., Qaiyum, S., Suneela, B., Al Duhayyim, M., Waji, Y.A.

    Published 2022
    “…To anticipate COD levels in influential and effluent areas, two ANN-based techniques have been presented. The proper structure for the neural network models was identified via a variety of training and model testing methods. …”
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  8. 8
    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models

    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

    Published 2024
    “…This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detecting skin diseases. …”
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  9. 9
    Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control

    Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control by Ullah, I., Fayaz, M., Aman, M., Kim, D.

    Published 2022
    “…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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  10. 10
    Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control

    Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control by Ullah, I., Fayaz, M., Aman, M., Kim, D.

    Published 2022
    “…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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  11. 11
    Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control

    Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control by Ullah, I., Fayaz, M., Aman, M., Kim, D.

    Published 2022
    “…To this end, several models are proposed in the literature that is based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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  12. 12
    Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

    Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings by Homod R.Z., Gaeid K.S., Dawood S.M., Hatami A., Sahari K.S.

    Published 2023
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  13. 13
    A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier

    A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier by Jaafar, Haryati, Ibrahim, Salwani, Ramli, Dzati Athiar

    Published 2015
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  14. 14
    Deep learning based human presence detection

    Deep learning based human presence detection by Venketaramana, Balachandran, Muhammad Nur Aiman, Shapiee, Ahmad Fakhri, Ab. Nasir, Mohd Azraai, Mohd Razman, Anwar P. P., Abdul Majeed

    Published 2020
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  15. 15
    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
    “…Reviews include systems using IoT and AI-based models, along with analysis of different federated learning algorithms such as FedSGD, FedAvg, and FedProx, and privacypreserving methods such as DA, SA, HE and CKKS encryption. …”
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  16. 16
    System identification of nonlinear autoregressive models in monitoring dengue infection

    System identification of nonlinear autoregressive models in monitoring dengue infection by Abdul Rahim, H., Ibrahim, F., Taib, M.N.

    Published 2010
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  17. 17
    Power of alignment: exploring the effect of face alignment on ASD diagnosis using facial images

    Power of alignment: exploring the effect of face alignment on ASD diagnosis using facial images by Alam, Mohammad Shafiul, Rashid, Muhammad Mahbubur, Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdous

    Published 2024
    “…This research paves the way for a data-centric approach that can be applied to medical datasets in order to improve the efficacy of deep neural network algorithms used to develop smart medical devices for the benefit of mankind…”
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  18. 18
    Smart cashierless checkout system for retail using machine vision

    Smart cashierless checkout system for retail using machine vision by Lee, Ren Yi

    Published 2022
    “…This project was performed in 2 parts where the first stage involved an image synthesis algorithm to automatically produce visually realistic product images using Generative Adversarial Network (GAN). …”
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  19. 19
    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review by YEJIAO, WANG, KAMALUDIN, HAZALILA, MOHAMMED ALDUAIS, NAYEF ABDULWAHAB, MOHD SAFAR, NOOR ZURAIDIN, ZHONGCHAO, HAO

    Published 2024
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  20. 20
    Blockchain for Healthcare Medical Records Management System with Sharing Control

    Blockchain for Healthcare Medical Records Management System with Sharing Control by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Zabidi, Suriza Ahmad

    Published 2021
    “…This is achieved using trained algorithms that provide an intelligent decision strategy based on Convolutional Neural Networks (CNN) to automatically extract high-level semantic information from electronic medical records and then perform automatic diagnosis. …”
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