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  1. 1
    Location-Based Approach for Route Maintenance in Dynamic Source Routing Protocol

    Location-Based Approach for Route Maintenance in Dynamic Source Routing Protocol by Sjaugi, Muhammad Farhan

    Published 2008
    “…The proposed algorithms based on node location information that may be collected through Global Positioning System (GPS). …”
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  2. 2
    Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system

    Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nurul Amira, Mhd Rizal, Nor Maniha, Abd Ghani, Mohd Falfazli, Mat Jusof, Mohd Ashraf, Ahmad

    Published 2022
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  3. 3
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
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  4. 4
    Autonomous person-following telepresence robot using monocular camera and deep learning YOLO

    Autonomous person-following telepresence robot using monocular camera and deep learning YOLO by Mat Lazim, Izzuddin, Sakri, Ahmad Amin Firdaus, Mauzi, Suffian At-Tsauri, Sahrim, Musab, Ramli, Liyana, Noordin, Aminurrashid

    Published 2024
    “…For robot movement control, a region-based controller is proposed to enable the robot to move based on the detected person's location in the image captured by the camera. …”
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  5. 5
    High Accuracy Estimation Of Head Yaw Using Bounding Box Algorithm On A Vision Based System

    High Accuracy Estimation Of Head Yaw Using Bounding Box Algorithm On A Vision Based System by Tarmizi, Aine Ilina

    Published 2020
    “…In a face-to-face interaction, most applications use vision sensors such as camera as an input to the system. …”
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  6. 6
    Named entity recognition using a new fuzzy support vector machine.

    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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  7. 7
    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection

    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection by Sevamalai, Venantius Kumar

    Published 1998
    “…Industrial visual machine inspection system uses template or feature matching methods to locate or inspect parts or pattern on parts. These algorithms could not compensate for the change or variation on the inspected parts dynamically. …”
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  8. 8
    Autonomous Person-following Telepresence Robot Using Monocular Camera And Deep Learning Yolo

    Autonomous Person-following Telepresence Robot Using Monocular Camera And Deep Learning Yolo by Ahmad Amin Firdaus Sakri, Noor Hanis Izzuddin Mat Lazim, Suffian At-Tsauri Mauzi, Mus’ab Sahrim, Liyana Ramli, Aminurrashid Noordin

    Published 2024
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  9. 9
    Analysing machine learning models to detect disaster events using social media

    Analysing machine learning models to detect disaster events using social media by Faris Azni Azlan, Mr.

    Published 2023
    “…Social media is used as a medium for communication due to its wide reach and global audience. During disasters, people communicate via messages regarding similar or different types of emergencies in the same general location. …”
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  10. 10
    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region

    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region by Bhattacharya S., Ali T., Chakravortti S., Pal T., Majee B.K., Mondal A., Pande C.B., Bilal M., Rahman M.T., Chakrabortty R.

    Published 2025
    “…Effective planning and management of these locations are essential. In recent years, statistical methods and, increasingly, machine learning-based approaches have gained popularity for landslide susceptibility modeling. …”
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  11. 11
    Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm

    Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm by Muhammad Aznil, Ab Aziz, Mohammad Fadhil, Abas, Muhamad Abdul Hasib, Ali, Norhafidzah, Mohd Saad, Mohd Hisyam, Ariff, Mohamad Khairul Anwar, Abu Bashrin

    Published 2023
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  12. 12
    Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid

    Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid by Ariya Sinhalage Buddhika Eshan Karunarathne

    Published 2023
    “…This algorithm is capable of surmounting the aforementioned drawbacks especially premature convergence, through its reward-based dynamic leader assignment and self-learning strategies. …”
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  13. 13
    Precision agriculture for corn using reinforcement learning

    Precision agriculture for corn using reinforcement learning by Tan, Carlton

    Published 2024
    “…Beyond data access, RACKY incorporates a sophisticated reinforcement learning agent based on the Proximal Policy Optimization (PPO) algorithm within the SWATGym. …”
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  14. 14
    Development of predictive modeling and deep learning classification of taxi trip tolls

    Development of predictive modeling and deep learning classification of taxi trip tolls by Al-Shoukry, Suhad, M. Jawad, Bushra Jaber, Zalili, Musa, Sabry, Ahmad H.

    Published 2022
    “…Using a classification algorithm, it is possible to extract drop-off and pickup locations from taxi trip data and estimate if the tour would incur tolls. …”
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  15. 15
    Precision agriculture for corn using reinforcement learning

    Precision agriculture for corn using reinforcement learning by Tan, Carlton

    Published 2024
    “…Beyond data access, RACKY incorporates a sophisticated reinforcement learning agent based on the Proximal Policy Optimization (PPO) algorithm within the SWATGym. …”
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  16. 16
    Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar

    Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar by Ayub Ahmed, Omar

    Published 2022
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  17. 17
    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
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  18. 18
    Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study

    Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study by Daru, April Firman, Hirzan, Alauddin Maulana, Mahmod Attar Bashi, Zainab Senan, Fanani, Fajriannoor

    Published 2025
    “…To address this limitation, the present study proposes a self-learning model using reinforcement learning techniques, specifically the Q-Learning algorithm, to classify network intrusions based on learned behavioural patterns autonomously. …”
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  19. 19
    Modified damage location indices in beam-like structure: Analytical study

    Modified damage location indices in beam-like structure: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The modified algorithms are able to detect the damage wherever its location, applying even to cases of multi damage locations. …”
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  20. 20
    Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah

    Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah by Mohamad Izzudin , Hussein Shah

    Published 2018
    “…Damaged identification scheme is used to monitor and locate the damage on a structure. Vibration based damage identification scheme which utilise vibrational modal data is popular due to its non-destructive nature. …”
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