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  1. 1
    Integration of image processing algorithm and deep learning approaches to monitor ginger plant

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…Following the successful detection and segmentation of the plants, another YOLOv8 based model was further developed to segment individual leaves from detected plant. …”
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  2. 2
    Integration of image processing algorithm and deep learning approaches to monitor ginger plant

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…Following the successful detection and segmentation of the plants, another YOLOv8 based model was further developed to segment individual leaves from detected plant. …”
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  3. 3
    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm

    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm by Talib, Nihad Hasan

    Published 2020
    “…The solution strategy started in its initial input and process to find effective stations that can serve the railway monitoring system well. The researcher developed a new clustering model to separate the necessary data from unnecessary data, and specified the suitable primary stations. …”
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  4. 4
    A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus

    A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus by Megat Yunus, Puteri Nor Ashikin

    Published 2023
    “…Three models were developed based on different sets of inputs. …”
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  5. 5
    Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman

    Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman by Osman, Mohamad Shaiful

    Published 2010
    “…This research is made for a system with fully integrated facilities for analyzing , monitoring and controlling of batch plant based on graph theory, batch modelling by means of Petri net algorithm and theory, control and configuration of SCADA system. …”
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  6. 6
    Voltage equalization control algorithm for monitoring and balancing of series connected lithium-ion battery

    Voltage equalization control algorithm for monitoring and balancing of series connected lithium-ion battery by Hoque M.M., Hannan M.A., Mohamed A.

    Published 2023
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  7. 7
    Stock price monitoring system

    Stock price monitoring system by Ng, Chun Ming

    Published 2024
    “…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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  8. 8
    Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System

    Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System by Gerasimova, Yuliya, Sidi, Fatimah, Abdullah, Lili Nurliyana, Ivel, Victor, Moldakhmetov, Sayat

    Published 2026
    “…The article describes the principles of developing a preprocessing algorithm for electro cardio signals in an in-house wireless automated Holter cardiac activity monitoring system. …”
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  9. 9
    Detection and Monitoring of Power Line Corridor from Satellite Imagery Using RetinaNet and K-Mean Clustering

    Detection and Monitoring of Power Line Corridor from Satellite Imagery Using RetinaNet and K-Mean Clustering by Haroun F.M.E., Deros S.N.M., Din N.M.

    Published 2023
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  10. 10
    Monitoring the impacts of drought on land use/cover: a developed object-based algorithm for NOAA AVHRR time series data

    Monitoring the impacts of drought on land use/cover: a developed object-based algorithm for NOAA AVHRR time series data by Mokhtari, Ahmad, Mansor, Shattri, Mahmud, Ahmad Rodzi, Mohd Shafri, Helmi Zulhaidi

    Published 2011
    “…As a novel idea in this study, it developed a new object-based classification algorithm for AVHRR (Advanced Very High Resolution Radiometer) data. …”
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  11. 11
    Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee

    Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee by Chong , Hue Yee

    Published 2023
    “…An effective condition monitoring model is helpful to reduce the frequency of unexpected breakdown incidents and thus, facilitate in maintenance. …”
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  12. 12
    Car dealership web application

    Car dealership web application by Yap, Jheng Khin

    Published 2022
    “…Tree SHAP, which was implemented by third-party SHAP Python library, were used in model monitoring and made the models interpretable. …”
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  13. 13
    Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring

    Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring by Mat-Noh, Maziyah, Zain, Zainah Md, Pebrianti, Dwi, Irawan, Addie, Daud, Mohd Razali

    Published 2016
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  14. 14
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  15. 15
    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator

    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin

    Published 2011
    “…The fuzzy models are trained applying locally linear model tree algorithm followed by a meta-heuristic nature inspired algorithm called bat algorithm. …”
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  16. 16
    A multi-scale dual-stage model for PV array fault detection, classification, and monitoring technique

    A multi-scale dual-stage model for PV array fault detection, classification, and monitoring technique by Siti Nor Azlina, Mohd Ghazali, Muhamad Zahim, Sujod

    Published 2022
    “…This paper proposes a low-cost model for a multi-scale dual-stage photovoltaic fault detection, classification, and monitoring technique developed through MATLAB/Simulink. …”
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  17. 17
    Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok

    Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok by Bachok, Mohd Fatruz

    Published 2019
    “…Development of the predictive model is according to the most frequent cause of windstorm in the country, applicable observational data, existing severe weather monitoring system and a current widely used machinelearning model in forecasting. …”
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  18. 18
    Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal

    Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal by Mohd Fadhlan, Mohd Yusof

    Published 2021
    “…Therefore, this particular work aims to investigate the characteristics of acoustic sound signal from PW Fiber laser, develop an appropriate signal processing algorithm to suppress the effect of noise on the extracted sound features, and develop an empirical model for weld depth estimation. …”
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  19. 19
    Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)

    Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD) by Gilani Mohamed, Mohamed Ahmed

    Published 2022
    “…Current research focuses mostly on early diagnosis and does not include disease monitoring. Monitoring is critical since it allows doctors to assess the disease development of Alzheimer's patients quantitatively. …”
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  20. 20
    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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