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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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  2. 2
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
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    Monograph
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  3. 3
    Daily streamflow forecasting using simplified rule-based fuzzy logic system

    Daily streamflow forecasting using simplified rule-based fuzzy logic system by Mohd Shafiek, Yaacob, Dr., Hishamuddin, Jamaluddin, Sobri, Harun

    Published 2011
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  4. 4
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization

    Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization by Lee, Jesee Kar Ming

    Published 2022
    “…The ANN model topology is designed using selection from the best training algorithm, transfer function, number of training runs (1000-5000), number of hidden layers (1-3) and nodes (5-15). …”
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  6. 6
    Sediment model for natural and man-made channels using general regression neural network

    Sediment model for natural and man-made channels using general regression neural network by Junaidah, Ariffin, Nurashikin, Ahmad Kamal, Muhamad Syahreen, Sa’adon, Mohd Nasir, Taib, Suhaimi, Abdul-Talib, Aminuddin, Abd-Ghani, Nor Azazi, Zakaria, Ahmad Shukri, Yahaya

    Published 2011
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  7. 7
    Revolutionizing video analytics: a review of action recognition using 3D

    Revolutionizing video analytics: a review of action recognition using 3D by Jeddah, Yunusa Mohammed, Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran, Ibrahim, Adamu Abubakar

    Published 2024
    “…Findings show that integrating 3D video with action recognition algorithms augments accuracy and detail while challenges in video action recognition such as long video features capturing, temporal context maintenance, computational costs management, variability handling, inadequate training data, domain adaptation, and benchmarking methods are addressed. …”
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  8. 8
    Classification model for chlorophyll content using CNN and aerial images

    Classification model for chlorophyll content using CNN and aerial images by Wagimin, Mohd Nazuan, Ismail, Mohammad Hafiz, Mohd Fauzi, Shukor Sanim, Seng, Chuah Tse, Abd Latif, Zulkiflee, Muharam, Farrah Melissa, Mohd Zaki, Nurul Ain

    Published 2024
    “…Chlorophyll content is usually used as a quantitative measurement of plant health. …”
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  9. 9
    A multivariate modeling for analysis of factors controlling the particle size and viscosity in palm kernel oil esters-based nanoemulsions

    A multivariate modeling for analysis of factors controlling the particle size and viscosity in palm kernel oil esters-based nanoemulsions by Rezaee, Malahat, Basri, Mahiran, Raja Abdul Rahman, Raja Noor Zaliha, Salleh, Abu Bakar, Chaibakhsh, Naz, Masoumi, Hamid Reza Fard

    Published 2014
    “…The effect of four independent variables namely water content, oil and surfactant (O/S) ratio, mixing rate and mixing time were considered as inputs of the network trained. …”
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  10. 10
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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  11. 11
    Predicting the optimum compositions of a parenteral nanoemulsion system loaded with azithromycin antibiotic utilizing the artificial neural network model

    Predicting the optimum compositions of a parenteral nanoemulsion system loaded with azithromycin antibiotic utilizing the artificial neural network model by S. Daood, Ghaidaa, Basri, Hamidon, Stanslas, Johnson, Fard Masoumi, Hamid Reza, Basri, Mahiran

    Published 2015
    “…To achieve the optimum topologies, the ANN was trained by Incremental Back-Propagation (IBP), Batch Back-Propagation (BBP), Quick Propagation (QP), and Levenberg–Marquardt (LM) algorithms for testing data set. …”
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  12. 12
    Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust

    Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust by Arshad, U., Taqvi, S.A.A., Buang, A.

    Published 2022
    “…The experimental data has been divided into the training set and testing set in the proportion of 85 (for training) and 15 (for testing) respectively. …”
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  13. 13
    Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust

    Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust by Arshad, U., Taqvi, S.A.A., Buang, A.

    Published 2022
    “…The experimental data has been divided into the training set and testing set in the proportion of 85 (for training) and 15 (for testing) respectively. …”
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  14. 14
    Fatigue Life Assessment of Polymer-Matrix Composites Under Variable Amplitude Loading Using Neural Networks

    Fatigue Life Assessment of Polymer-Matrix Composites Under Variable Amplitude Loading Using Neural Networks by Hidayat, Mas Irfan Purbawanto Hidayat

    Published 2009
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  15. 15
    Recommendation System Model For Decision Making in the E-Commerce Application

    Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

    Published 2024
    thesis::doctoral thesis
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  16. 16
    An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms

    An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

    Published 2015
    “…It is concluded that the resultant hybrid techniques can perform well if the variables provided to normalization by neighborhood model (MF and CF) do not have big differences in order for the hybrid normalization model to outperform every algorithm in comparison.…”
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  17. 17
    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail

    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

    Published 2015
    “…Back-propagation algorithm is a training method widely used in a multilayer perceptron Neural Network model. …”
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  18. 18
    Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics

    Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics by Irfan, S.A., Azli, N.M., Abdulkareem, F.A., Padmanabhan, E.

    Published 2021
    “…The PLS analysis has concluded that there is no linear relationship between the adsorption variation with shale fabric total organic content but may have some correlation with mineralogical configurations, such as clay and quartz content and compositions. …”
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  19. 19
    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption

    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption by Zamani, Seyed Ali

    Published 2015
    “…The input and output of the RSM design was used in artificial neural networks for training purpose. The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
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  20. 20
    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm

    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

    Published 2018
    “…In the next phase, the SVM classifier was trained to achieve the best classification using training data and test data integrated with selected features. …”
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