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  1. 1
    Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data

    Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data by Terence Chia Yi Kai, Agus Saptoro, Zulfan Adi Putra, King Hann Lim, Wan Sieng Yeo, Jaka Sunarso

    Published 2025
    “…Deep learning algorithms were widely used among all the data-driven algorithms. …”
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  2. 2
    Deep learning optimisation algorithms for snatch theft detection / Nurul Farhana Mohamad Zamri ...[et al.]

    Deep learning optimisation algorithms for snatch theft detection / Nurul Farhana Mohamad Zamri ...[et al.] by Mohamad Zamri, Nurul Farhana, Md Tahir, Nooritawati, Megat Ali, Megat Syahirul Amin, Khirul Ashar, Nur Dalila

    Published 2022
    “…Learning algorithms related to deep learning use bells and whistles, called hyperparameters. …”
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  3. 3
    An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines

    An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines by Bala, A., Ismail, I., Ibrahim, R., Sait, S.M., Oliva, D.

    Published 2020
    “…Hence, in this work, we design an improved Grasshopper Optimization Algorithm (GOA) based ESN. The proposed technique uses a new solution representation with a simplified attraction and repulsion mechanisms to enhance performance. …”
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  4. 4
    Enhancing indoor positioning accuracy with WLAN and WSN: a QPSO hybrid algorithm with Surface tessellation

    Enhancing indoor positioning accuracy with WLAN and WSN: a QPSO hybrid algorithm with Surface tessellation by Scavino, Edgar, Abd Rahman, Mohd Amiruddin, Farid, Zahid, Ahmad, Sadique, Asim, Muhammad

    Published 2024
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  5. 5
    The Vision of 5G and Cell-Free Communication Networks in Malaysia

    The Vision of 5G and Cell-Free Communication Networks in Malaysia by Mahdi M.N., Mohamed K.S., Ahmad A.R., Subhi M.A.

    Published 2023
    Conference Paper
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  6. 6
    Class binarization with self-adaptive algorithm to improve human activity recognition

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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  7. 7
    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm

    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

    Published 2024
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  8. 8
    Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment

    Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment by Xing, Wan

    Published 2025
    “…By comparing them with the benchmark models in terms of recognition accuracy, precision, computational complexity, storage space, and other metrics, the superiority of our proposed algorithm is proved. Furthermore, we have delineated the path for subsequent study and enhancement.…”
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  9. 9
    Wifi-based location-independent human activity recognition and localization using deep learning

    Wifi-based location-independent human activity recognition and localization using deep learning by Abuhoureyah, Fahd Saad Amed

    Published 2024
    “…Third, recognizing the capability of location independence, we propose a novel locationindependent HAR using a self-learning CSI-based technique for wireless sensor networks. …”
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  10. 10
    Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures

    Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures by Khan, F.S., Mohd, M.N.H., Zulkifli, S.A.B.M., Abro, G.E.M., Kazi, S., Soomro, D.M.

    Published 2022
    “…The algorithm is designed to take the input from 3D hand gestures and integrate with the Deep Deterministic Policy Gradient (DDPG) to receive the best reward and take actions according to 3D hand gestures input. …”
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  11. 11
    Development of a smart edge device for fire detection

    Development of a smart edge device for fire detection by Ng, Wei Yuan

    Published 2023
    “…This project proposes a smart edge fire detection system that overcomes the limitations of conventional fire warning systems by utilizing deep learning models and edge computing. The system is based on an object detection model for fire detection using the Improved YOLOv5s algorithm, which integrates BiFPN and an additional prediction layer for detecting small targets of fire. …”
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  12. 12
    Wearable Sensor Feature Fusion for Human Activity Recognition (HAR) : A Proposed Classification Framework

    Wearable Sensor Feature Fusion for Human Activity Recognition (HAR) : A Proposed Classification Framework by Norfadzlan, Yusup, Adnan Shahid, Khan, Izzatul Nabila, Sarbini, Nurul Zawiyah, Mohamad

    Published 2022
    “…The deep learning model Long-Short Term Memory based Deep Recurrent Neural Network (LSTM-DRNN) will be used to extract deep features. …”
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    Proceeding
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  13. 13
    Smart object detection using deep learning algorithm and jetson nano for blind people

    Smart object detection using deep learning algorithm and jetson nano for blind people by Tan, Mei Yan, Anis Farihan, Mat Raffei, Mohd Arfian, Ismail

    Published 2021
    “…Therefore, this project develops a smart object detection using deep learning algorithm and jetson nano to improve object detection for blind people. …”
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  14. 14
    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke

    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

    Published 2019
    “…This is further worsen by the use of single sensors modality and machine learning algorithms. …”
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  15. 15
    Deep learning in face recognition for attendance system: an exploratory study / Mochamad Azkal Azkiya Aziz, Shahrinaz Ismail and Noormadinah Allias

    Deep learning in face recognition for attendance system: an exploratory study / Mochamad Azkal Azkiya Aziz, Shahrinaz Ismail and Noormadinah Allias by Aziz, Mochamad Azkal Azkiya, Ismail, Shahrinaz, Allias, Noormadinah

    Published 2022
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  16. 16
    Heart Attack Prediction with Deep Learning

    Heart Attack Prediction with Deep Learning by Syasya Putri binti Mohamad Razauddin

    Published 2023
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  17. 17
    A comprehensive review on multi robot task assignment and path planning: operational constraints, challenges, and potentials of deep reinforcement learning

    A comprehensive review on multi robot task assignment and path planning: operational constraints, challenges, and potentials of deep reinforcement learning by Al Mahmud, Suaib, Mohd Ibrahim, Azhar, Khan, Mazbahur Rahman

    Published 2026
    “…This paper presents a comprehensive review on task assignment and path planning of MRS by dedicating a specific focus on operational constraints, and explores the potentials of Deep Reinforcement Learning (DRL) to address them. …”
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  18. 18
    Synchronization algorithm for remote heterogeneous database environment

    Synchronization algorithm for remote heterogeneous database environment by Imam, A.A., Basri, S.B., Ahmad, R.B.

    Published 2015
    “…In this paper, we proposed a model and a unique algorithm to synchronize data between heterogeneous databases, in order to provide alternative synchronization paths, concurrency in operation and bidirectional mode of data exchange. …”
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  19. 19
    Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

    Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Al-Garadi, Mohammed Ali

    Published 2019
    “…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
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  20. 20
    Student attendance system using facial recognition based on deep learning / Syahila Aina Haris and Zulfikri Paidi

    Student attendance system using facial recognition based on deep learning / Syahila Aina Haris and Zulfikri Paidi by Haris, Syahila Aina, Paidi, Zulfikri

    Published 2023
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