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  1. 1
    Using artificial intelligence search in solving the camera placement problem

    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
    “…Following the coverage modeling, an optimization method needs to be used to locate the optimal poses and/or camera positions. …”
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  2. 2
    B-spline curve fitting with different parameterization methods

    B-spline curve fitting with different parameterization methods by Kheng, Jia Shen

    Published 2020
    “…However, there is an issue in many fields which is to construct an optimal curve with the given data points. Therefore, a comparison is made between the parameterization methods in this research in order to determine the optimal method for the B-spline curve fitting. …”
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    Final Year Project / Dissertation / Thesis
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  3. 3
    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…This research undertakes a comprehensive exploration aimed at optimizing cancer therapy by integrating mathematical modelling and advanced optimization methodologies. …”
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    Thesis
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  4. 4
    Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems

    Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2018
    “…Based on visual sensor parameters information, and the features of the area to be monitored, this paper uses a deterministic modeling approach to model the sensor coverage in a 2-D space. …”
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  5. 5
    Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems

    Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2018
    “…Based on visual sensor parameters information, and the features of the area to be monitored, this paper uses a deterministic modeling approach to model the sensor coverage in a 2-D space. …”
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  6. 6
    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    Published 2025
    “…The central purpose of this research is to significantly increase the predictability of these milestone dates, thereby eliminating the risks associated with high and dynamic fluctuations in schedules. The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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  7. 7
    An adaptive HMM based approach for improving e-Learning methods

    An adaptive HMM based approach for improving e-Learning methods by Deeb B., Hassan Z., Beseiso M.

    Published 2023
    “…The model proposed in this research is based on clustering of students using K-means algorithm and the course of content delivery is adaptively characterized for each student using Hidden Markov Models. …”
    Conference Paper
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  8. 8
    Design and development of intelligent 3d model recognition and inspection system in die stamping industry

    Design and development of intelligent 3d model recognition and inspection system in die stamping industry by Suryana, Nanna, Widodo, Wahyono Sapto, Hussin, Burairah, Mohd. Yusoh, Zeratul Izzah, Akbar, Habibullah

    Published 2012
    “…To overcome this problem, cost-effective appearance-based method is proposed to replace traditional method which based on model of object. …”
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    Technical Report
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  9. 9
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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    Thesis
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  10. 10
    Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri

    Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri by Basri, Katrul Nadia

    Published 2023
    “…Model 2 of CNN has maximum performance of validation in terms of accuracy, precision, sensitivity and specificity but the calibration model requires more optimization. …”
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  11. 11
    Edge assisted crime prediction and evaluation framework for machine learning algorithms

    Edge assisted crime prediction and evaluation framework for machine learning algorithms by Adhikary, Apurba, Murad, Saydul Akbar, Munir, Md Shirajum, Choong Seon, Hong Seong

    Published 2022
    “…A maximum accuracy of 81% is obtained for Decision Tree algorithm during the prediction of crime. …”
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    Conference or Workshop Item
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  12. 12
    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying

    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

    Published 2019
    “…Based on the final denoised images, the model has proven its reliability, in terms of both visual quality and quantitative evaluation. …”
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  13. 13
    Enhancing unity-based AR with optimal lossless compression for digital twin assets

    Enhancing unity-based AR with optimal lossless compression for digital twin assets by Hlayel, Mohammed, Hairulnizam, Mahdin, Hayajneh, Mohammad, AlDaajeh, Saleh H., Siti Salwani, Yaacob, Mazidah, Mat Rejab

    Published 2024
    “…Experimental results show a detailed comparison among these compression algorithms, which can give insights and help choose the best method according to the compression ratio, decompression speed, and resource usage. …”
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  14. 14
    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    “…All the models are compared and discussed based on the results obtained. …”
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  15. 15
    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh

    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

    Published 2020
    “…These methods present a robust system that enables fully automated identification and removal of artifacts from EEG signals, without the need of visual inspection or arbitrary thresholding. …”
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  16. 16
    Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization

    Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization by Nader Ibrahim Namazi, Sameer Alshehri, Rawan Bafail, Bader Huwaimel, Amal M. Alsubaiyel, Ali H. Alamri, Ahmed D. Alatawi, Hossam Kotb, Mohd Sani Sarjadi, Md. Lutfor Rahman, Mohammed A.S. Abourehab

    Published 2022
    “…We used a dataset that has 32 sample points to make solubility models. …”
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  17. 17
    An enhanced sequential exception technique for semantic-based text anomaly detection

    An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

    Published 2019
    “…Practically, this study contributes to topic modelling and concept coherence for the purpose of visualizing information, knowledge sharing and optimized decision making.…”
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  18. 18
    Hierarchical extreme learning machine based reinforcement learning for goal localization

    Hierarchical extreme learning machine based reinforcement learning for goal localization by AlDahoul, Nouar, Htike, Zaw Zaw, Akmeliawati, Rini

    Published 2017
    “…Different deep Reinforcement models have already been used to localize a goal but most of them take long time to learn the model. …”
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    Proceeding Paper
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  19. 19
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  20. 20
    Deep Reinforcement Learning For Control

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…In essence, the method is to use a reward-based learning environment to watch how the agent makes decisions. …”
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    Monograph
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