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  1. 1

    Reinforcement learning in risk management for pharmaceutical construction projects: frontiers, challenges, and improvement strategies by Junjia, Yin, Jiawen, Liu, Alias, Aidi Hizami, Haron, Nuzul Azam, Abu Bakar, Nabilah

    Published 2025
    “…Therefore, this paper reviews the practical applications of six algorithms—Deep Q-Network (DQN), Deep Deterministic Policy Gradient (DDPG), and Proximity Policy Optimization (PPO)—in construction safety, temperature control, resource scheduling, and automated equipment optimization, validating the potential of reinforcement learning to effectively manage dynamic risks through adaptive learning. …”
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    Article
  2. 2

    Construction Noise Prediction Using Stochastic Deep Learning by Ooi, Wei Chien

    Published 2022
    “…The deep learning model was trained with stochastic data to predict the noise levels emitted from the construction site. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF)... by Pradhan, Biswajeet, Mohammad Zare, Pourghasemi, Hamid Reza, Vafakhah, Mahdi

    Published 2013
    “…Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data that was not used during the model construction) using area under the curve (AUC) method. …”
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    Article
  4. 4

    Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

    Published 2024
    “…Shield machines, like earth pressure balance and slurry machines, are pivotal in modern tunnel construction. However, twin tunnel construction in urban areas commonly faces surface settlement (SS) issues, which threaten nearby structures. …”
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    Thesis
  5. 5

    Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system by Maseer, Ziadoon Kamil

    Published 2022
    “…In this study, the Deep Belief Network algorithm was optimized and constructed to design an effective NIDS anomaly model. …”
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    Thesis
  6. 6

    Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0 by Chong, Agnes Wen Lin

    Published 2023
    “…In this project, Fornell-Larker parameters are used to test the measurement algorithm for the research's discriminant validity. 380 valid questionnaires returnedback and conducted the calculation of the algorithm's assessment to constructs' validity and realibility assessment, discriminant validity using HTMTand Fornell-Larker approaches. …”
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    Final Year Project / Dissertation / Thesis
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    Enhancement Of Static Code Analysis Malware Detection Framework For Android Category-Based Application by Aminordin, Azmi

    Published 2021
    “…In increasing the reliability, the results obtained are then validated by using statistical analysis procedure which each machine learning classification algorithm are iterate 50 times. …”
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    Thesis
  9. 9

    Deep learning for EEG data analysis by Cheah, Kit Hwa

    Published 2018
    “…The convolutional neural network (CNN) model constructed in this project has achieved a validation accuracy of 75±1% using the same EEG dataset. …”
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    Final Year Project / Dissertation / Thesis
  10. 10

    A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction by Hammid, Ali Thaeer, M. H., Sulaiman, Awad, Omar I.

    Published 2018
    “…The objective of this study, first, a firefly algorithm (FA) based on the k-fold cross-validation of BPNN has been suggested to predict data for keeping rapid learning and prevents the exponential increase in operating parts. …”
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  11. 11

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Iris data set has been taken from UCO machine learning to assist in testing phase. The validity of the result for this web tool will be determined by the average score of the silhouette method. …”
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    Thesis
  12. 12

    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

    Published 2023
    “…The classifiers are validated and evaluated using accuracy, precision, recall, and f1-score along with 10-folds cross validation. …”
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    Final Year Project Report / IMRAD
  13. 13

    A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

    Published 2017
    “…A prototype of the proposed architecture was built and validated which the focus is towards determining the decision algorithm precision and measuring the video assimilation. …”
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    Thesis
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    Polytechnic science lecturers’ intention to use ICT as a tool in northeast Nigeria: a smart PLS approach by Yohanna, G., Md Yunos, Jailani, Mohamad, Marlina, Ruth, J. Y.

    Published 2017
    “…Although the Nigerian government has provided computers for teaching and learning, they are underutilised. A survey was conducted to validate items recorded in past studies. …”
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    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

    Published 2014
    “…From the construction of DuriO, 21 durian characteristics are produced in Webpage analysis phase. …”
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    Thesis
  18. 18

    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

    Published 2021
    “…Feature selection methods such as Boruta, Random Forest (RF), Elastic Net (EN), Recursive Feature Elimination (RFE), learning vector quantization (LVQ), Genetic Algorithm (GA), Cluster Dendrogram (CD), Support Vector Machine (SVM) and Logistic Regression (LR) were combined with RF, SVM, LR, and EN classifiers for 30-day mortality prediction. …”
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    Article
  19. 19

    Digital media-enhanced cultural brand development: creative strategies for urban identity construction by Wei, Zhang, Mastika, Lamat

    Published 2025
    “…A mixed-methods approach incorporated stakeholder surveys (n=420) across four participant groups, systematic analysis of 800 social media posts, examination of 35 institutional platforms, and comparative analysis of 12 international cities, utilizing an AI-enhanced analytical pipeline with natural language processing, computer vision, and machine learning algorithms. Five core creative strategy elements were empirically validated: digital storytelling integration, community-centered content creation, heritage-digital synthesis, interactive cultural experiences, and dynamic community feedback systems. …”
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  20. 20

    A deep learning Lora-based indoor localization technique by Aqqad, Kamilia, Aqqad, Karmel, Khdeir, Naeema, Zabade, Raha, Ghanem, Wasel, Lwas, Ali Kadhim, Al-Rimawi, Ashraf, Habaebi, Mohamed Hadi, Zyoud, Alhareth Mohammed

    Published 2026
    “…The collected dataset is used to train the deep learning model. To increase accuracy, techniques like data augmentation and cross-validation were included. …”
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    Proceeding Paper