Search Results - (( course validation study algorithm ) OR ( early identification swarm algorithm ))

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  1. 1

    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation by Illias, Hazlee Azil, Wee, Zhao Liang

    Published 2018
    “…In this work, a hybrid support vector machine (SVM) with modified evolutionary particle swarm optimisation (EPSO) algorithm was proposed to determine the transformer fault type. …”
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    Article
  2. 2

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.…”
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    Thesis
  3. 3

    Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

    Published 2025
    “…Key contributions include a comparative analysis of evolutionary, swarm intelligence, physics-based, human-inspired algorithms, and hybrid approaches benchmarked on classification datasets. …”
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    Article
  4. 4

    Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail by Basri, Siti Nor Ba, Khozaid, Nur Su’aidah, Ismail, Farhana Hazwani

    Published 2023
    “…Different colours are allocated to each vertex using graph colouring techniques such as the vertices algorithm or the edges algorithm, ensuring that clashing courses and lecturers are assigned different time slots. …”
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    Student Project
  5. 5

    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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    Conference or Workshop Item
  6. 6

    Using algorithmic taxonomy to evaluate lecturer workload by Hashim, Ruhil Hayati, Abdul Hamid, Jamaliah, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Mohayidin, Mohd Ghazali

    Published 2006
    “…The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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    Article
  7. 7

    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hassan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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    Conference or Workshop Item
  8. 8

    Flash floods prediction using real time data: an implementation of ANN-PSO with less false alarm by Khan, Talha Ahmed, Shaikh, Faraz Ahmed, Khan, Sheroz, Abdul Kadir, Kushsairy, Mohd Su'ud, Mazliham, Shahid, Zeeshan, Yahya, Muhammad

    Published 2019
    “…Results have proved that proposed AI based technique for the early identification of flash floods and hurricanes have worked more accurate and performancewise better than the ongoing techniques. …”
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    Proceeding Paper
  9. 9

    Impact of external forces on the quality of digital elevation model derived from drone technology by Isola, Ajibola Ismaila, Mansor, Shattri, Shafri, Helmi, Pradhan, Biswajeet, Mansor, Yaakob

    Published 2019
    “…To achieve the research objective, an experiment was carried out using a fixed-wing drone that was flown over a Golf course at the Universiti Putra Malaysia. The drone with an on-board camera captured photos of the study area at a predefined regular time interval. …”
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    Article
  10. 10

    Technologization of Educational Standards and the Triple Hegemony of Cultural Inequality: Perspectives from Digital Education Internationalization by LiPeng, Wang, Wai Yie, Leong, Feng, Yang Yang

    Published 2025
    “…By introducing the Cultural Alienation Index (CAI), the study quantifies digital cultural inequality and validates its explanatory power through cross-regional cases. …”
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    Article
  11. 11

    Jobs Visualization and Salary Prediction System Based on Jobstreet Malaysia / Khyrina Airin Fariza Abu Samah ... [et al.] by Abu Samah, Khyrina Airin Fariza, Wirakarnain, Nurqueen Sayang Dinnie, Deraman, Noor Afni, Johari, Siti Nor Amalina, Moketar, Nor Aıza, Hasrol Jono, Mohd Nor Hajar

    Published 2021
    “…The extracted Jobstreet’s data runs the pre-processing, develops the model, and runs on real-world data. Linear Regression algorithm was used to predict the salary and tested using mean absolute error to validate the prediction. …”
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    Conference or Workshop Item
  12. 12
  13. 13

    Deep learning-based recommendation system to address challenges in providing electronic services by AL Hinai, Turki Abdullah Masood, Al Kulaibi, Juma, Al Husaini, Mohammed Abdulla Salim, Al Husaini, Yousuf Nasser, Habaebi, Mohamed Hadi

    Published 2026
    “…Furthermore, 10-fold cross-validation was employed to assess model generalizability, yielding accuracy scores ranging from 0.88 to 0.92, with Fold 4 scoring 0.89623. …”
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    Proceeding Paper
  14. 14

    Cryptanalysis on the modulus N=p2q and design of rabin-like cryptosystem without decryption failure by Asbullah, Muhammad Asyraf

    Published 2015
    “…Moreover, for the purpose of empirical evidences, some parameters are chosen in the course of the process to validate the efficiency in terms of algorithmic running time and memory consumptions. …”
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    Thesis
  15. 15

    Development Of Finite Element Codes For Shear Wall Analysis by Paknahad, Masoud

    Published 2008
    “…However, this would not serve the objectives of the research investigator. In this study, new elements have been developed, modified constitutive law has been proposed, new computational algorithm has been utilised. …”
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    Thesis