Search Results - (( course evaluation tree algorithm ) OR ( panel application a algorithm ))

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    An artificial intelligence approach to monitor student performance and devise preventive measures by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

    Published 2023
    “…We developed a set of prediction models with distinct machine learning algorithms. Decision tree triumph over other models and thus is further transformed into easily explicable format. …”
    Article
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    A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

    Published 2023
    “…Educational Data Mining tools, specifically Machine learning classifiers, appear supportive to develop prediction models which forecast students� final outcome in a course. This research evaluates the effectiveness of machine learning classifiers to monitor students� academic progress and informs the instructor about the students at the risk of producing unsatisfactory final result in a course. …”
    Conference Paper
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    Optimisation of tilt angles for fixed PV Panel via computational algorithm by Tang, Hong Wei

    Published 2022
    “…Therefore, this Final Year Project (FYP) proposes and develops a computational algorithm to calculate the annual energy generation at different tilt angles of the PV panel and determine the optimum tilt angles of the PV panel at various locations in Malaysia under local weather conditions. …”
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    Final Year Project / Dissertation / Thesis
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    Solar panel tracker model using PIC16F877A by Noor Kamal, Noralif Khairrurijaal

    Published 2005
    “…This paper presents an application of a solar panel tracker module that measures the output voltage of solar panel in Photovoltaic (PV) application and tracks the sun's movement in order to get optimum exposure of the sun's irradiance. …”
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    Student Project
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    An early warning system for students at risk using supervised machine learning by Yam, Zheng Hong, Mohd Norshahriel, Abd Rani, Nabilah Filzah, Mohd Radzuan, Lim, Huay Yen, Sarasvathi, Nagalingam

    Published 2024
    “…According to the research, 52% of students who sign up for a course would never read the course materials. Furthermore, throughout the course of five years, the dropout rate reached a stunning 96%. …”
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    Article
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    Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes by Wiliani, Ninuk, T.K.A, Rahman, Ramli, Suzaimah

    Published 2024
    “…The findings indicate that the GNB algorithm surpasses BNB, with a mean average precision (mAP) of 39.83% with an 85:15 training-test ratio, whereas BNB reaches a maximum mAP of 29.25% at a 90:10 ratio. …”
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    Journal
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    Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah by Nurul Habibah, Abdul Rahman

    Published 2024
    “…Particularly, the decision tree is identified as the most accurate predictive model, having a 0.60 accuracy value. …”
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    Thesis
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    Arduino solar tracker with blynk / Muhammad Azim Hafizi Azlan by Azlan, Muhammad Azim Hafizi

    Published 2024
    “…The Arduino board serves as the main control unit, coordinating panel movements and allowing online or mobile application-based remote monitoring and control. …”
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    Student Project
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    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…The project will implement automated detection and disease management recommendation algorithms while evaluating the functionality and usability of the designed application. …”
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    Thesis
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    Leveraging data lake architecture for predicting academic student performance by Abdul Rahim, Shameen Aina, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, Nurlankyzy, Appak Yessirkep

    Published 2024
    “…In addition to forecasting the student performance, appropriate machine learning algorithms such as Support Vector Classifier, Naive Bayes, and Decision Trees are used to build prediction models by using the data lake's scalability and parallel processing capabilities. …”
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    Article
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    Experimental Parameters Study Of Micro-Perforated Panel And The Application On Vacuum Cleaner by Ting, Kin Choon

    Published 2017
    “…At the last of the paper, the parameter of MPP was optimized tuned by simulated annealing algorithm. Then, the optimized MPP sound absorber was applied to a small utility vacuum cleaner with power 1800W in order to prove the MPP in real life application and the results showed that the overall noise level reduced by 2.2dB(A) which is 2.69% from the overall operating noise of vacuum cleaner.…”
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    Monograph