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  1. 1
    Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis

    Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis by Md Nor, Norazwan, Hussain, Mohd Azlan, Che Hassan, Che Rosmani

    Published 2015
    “…By decomposing the process data into multiple scales, MSKFDA analyse the dynamical data at different scales and then restructure scales that contained important information by inverse discrete wavelet transform (IDWT). …”
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  2. 2
    Re-refining of base oil from spent lubricant : a comparative study between laboratory and pilot scale study

    Re-refining of base oil from spent lubricant : a comparative study between laboratory and pilot scale study by Abdul Karim, Azila

    Published 2004
    “…The process simulation, which was carried out for the pilot scale study showed suitability to represent the pilot scale operation, where the data generated from the simulation was acceptable, with percentage error of +lo%.…”
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  3. 3
    A scaled experiment for verificaton of SPLINE interpolation technique for sea bed logging method

    A scaled experiment for verificaton of SPLINE interpolation technique for sea bed logging method by Daud, Hanita, Yahya, Noorhana, Asirvadam , Vijanth Sagayan, Nayan, M Yunus, Talib, Ahmad Muizuddin

    Published 2011
    “…This paper discusses on the use of Spline Interpolation with Mean Square Error (MSE) as tools to process data acquired from scaled down experiments that replicate sea bed logging environment. …”
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  4. 4
    Data-Based Modeling of a Nonexplicit Two-Time Scale Process via Multiple Time-Scale Recurrent Neural Networks

    Data-Based Modeling of a Nonexplicit Two-Time Scale Process via Multiple Time-Scale Recurrent Neural Networks by Jian, Ngiam Li, Zabiri, Haslinda, Ramasamy, Marappagounder

    Published 2022
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  5. 5
    Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre

    Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre by Samual, Joshua, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati, Abdullah, Azizol

    Published 2023
    “…Many organizations have converted their conventional processing data centre to a Cloud data centre. Cloud computing provides promising execution and storage, which leads to massive growth in processing demand by Cloud users. …”
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  6. 6
    Utilizing classical scaling for fault identification based on continuous-based process

    Utilizing classical scaling for fault identification based on continuous-based process by Mira Syahirah, Abd Wahit

    Published 2013
    “…This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). …”
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  7. 7
    Signal Processing Strategies in FT-NIR and FTIR Spectra of Palm Oils

    Signal Processing Strategies in FT-NIR and FTIR Spectra of Palm Oils by Rasaruddin, N.F, Hasan, M.N, Jaafar, M.Z, Mohd Ruah, M.E.N, Sim, S. F.

    Published 2014
    “…The utility and effectiveness of four data pre-processing which are column standardization, mean centre and combination of row scaling with column standardization and mean centre were applied. …”
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  8. 8
    A framework for data-driven fault detection and identification with multiscale kernel fisher discriminant analysis in chemical process systems / Norazwan Md Nor

    A framework for data-driven fault detection and identification with multiscale kernel fisher discriminant analysis in chemical process systems / Norazwan Md Nor by Norazwan , Md Nor

    Published 2018
    “…The proposed FDI frameworks were applied in three different chemical processes: the simulation of Tennessee Eastman process, the fed-batch penicillin fermentation process, and a real industrial data set of semiconductor etch process. …”
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  9. 9
    Simulation & data validation of small-scale LNG system

    Simulation & data validation of small-scale LNG system by Roslina, Sapuan

    Published 2008
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  10. 10
    Big Data Processing in Cloud Computing Environments

    Big Data Processing in Cloud Computing Environments by Noraziah, Ahmad, Fakhreldin, Mohammed Adam Ibrahim, Khalid, Adam, Mazlina, Abdul Majid

    Published 2017
    “…First, from the view of cloud data management and Big Data processing mechanisms, we present the key issues of Big Data. …”
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  11. 11
    Frequency scaling of rain attenuation

    Frequency scaling of rain attenuation by Ahmad, Sahadah

    Published 2007
    “…Many scaling models have been developed from theory, empirical data, various propagation experiments, or from both. …”
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  12. 12
    AHP-Borda count method in solving Multi-Criteria Decision Making (MCDM) problems using different judgement scales in AHP / Nurul Fatin Azara Zulkarnain, Farah Fakhira Mustafa and Nurfarahin Abd Ghani

    AHP-Borda count method in solving Multi-Criteria Decision Making (MCDM) problems using different judgement scales in AHP / Nurul Fatin Azara Zulkarnain, Farah Fakhira Mustafa and N... by Zulkarnain, Nurul Fatin Azara, Mustafa, Farah Fakhira, Abd Ghani, Nurfarahin

    Published 2018
    “…As a result, out of 10 I data computed by using linear and root square scale in AHP, only 52 judgments were consistent. …”
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  13. 13
    Augmented desirability function for multiple responses with contaminated data

    Augmented desirability function for multiple responses with contaminated data by Midi, Habshah, Ab. Aziz, Nasuhar

    Published 2018
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  14. 14
    Robust control charts for change points detection in presence of outliers

    Robust control charts for change points detection in presence of outliers by Ng, Kooi Huat

    Published 2012
    “…It is about adopting the M-Scale estimator into the proposed modified procedure in the estimation of process standard deviation. …”
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  15. 15
    Distinguishing data with and without hydrocarbon in scaled tank experiments using spline interpolation and normalized mean square error

    Distinguishing data with and without hydrocarbon in scaled tank experiments using spline interpolation and normalized mean square error by Daud, H., Sagayan, V.A., Razali, R., Talib, M.

    Published 2014
    “…This work applies spline Interpolation and Normalized Mean Square Error (NMSE) techniques to process data acquired from scaled tank experiments that replicates seabed logging (SBL) technique. …”
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  16. 16
    Efficient skyline query processing in incomplete graph databases using machine learning techniques

    Efficient skyline query processing in incomplete graph databases using machine learning techniques by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2025
    “…Skyline queries play a critical role in multi-criteria decision-making systems by retrieving non-dominated data points from large datasets. In recent years, the rapid growth of graph-structured data across various domains has introduced challenges in efficiently processing skyline queries over incomplete and large-scale graph databases. …”
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  17. 17
    Evaluation, modelling and control of ultrafiltration membrane water treatment systems / Chew Chun Ming

    Evaluation, modelling and control of ultrafiltration membrane water treatment systems / Chew Chun Ming by Chew , Chun Ming

    Published 2017
    “…In the second part of this research work, a pilot-scale UF system has been utilized to gather data for the process modelling. …”
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  18. 18
    Scale up study and comparison of three downstream processes of monoclonal antibody production using superpro designer

    Scale up study and comparison of three downstream processes of monoclonal antibody production using superpro designer by Kamarulnizal, Amrin

    Published 2010
    “…As a conclusion, the simulation of large scale production of mAb by using SPD are flow work for 20000 L of fermenter as upstream process and Inno Biologics Sdn. …”
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  19. 19
    SCALING UP OF LACTIC ACID FERMENTATION USING Enterococcus faecalis

    SCALING UP OF LACTIC ACID FERMENTATION USING Enterococcus faecalis by EIVO, KELVIN

    Published 2018
    “…Develop a large scale of LAF always became a huge challenge because of scarce data is available in large scale. …”
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    Final Year Project Report / IMRAD
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  20. 20
    A Scaled Experiment 2 for Verification of SPLINE Interpolation Technique for Sea Bed Logging Method

    A Scaled Experiment 2 for Verification of SPLINE Interpolation Technique for Sea Bed Logging Method by Daud, Hanita, Yahya, Noorhana, Asirvadam , Vijanth Sagayan, Talib, Ahmad Muizuddin

    Published 2011
    “…Magnetic field generated by EM source was detected by fluxgate magnetic field sensor and sent to data acquisition station. Data acquired from series of experiments were processed using Spline Interpolation Technique (degree of three) and Mean Square Error (MSE) were calculated between original data and interpolated data. …”
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