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  1. 1
    Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment

    Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment by Kesavan Prabagaran, Premkumar

    Published 2017
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    Thesis
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  2. 2
    Comparative analysis of segmented correlation trimmed mean algorithm for locating random and static partial discharges in power cables

    Comparative analysis of segmented correlation trimmed mean algorithm for locating random and static partial discharges in power cables by Asfarina Abu Bakar, Chai Chang Yii, Chin Kui Fern, Yoong Hou Pin, Muhammad Nur Afnan Uda, Liau Chung Fan, Teddy Goh Khian Teck, Markus Diantoro

    Published 2024
    “…Recently segmented correlation trimmed mean (SCTM) algorithm had been applied to double-end PD measurement method. …”
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  3. 3
    Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim

    Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim by Abdul Rahim, Nur Azimah

    Published 2018
    “…For most face recognition algorithms, partial occlusions affect the performance of the algorithm. …”
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  4. 4
    Detection of multiple outliners in linear regression using nonparametric methods

    Detection of multiple outliners in linear regression using nonparametric methods by Adnan, Robiah

    Published 2004
    “…New Algorithms for Computing the Least Trimmed Squares Regression Estimator. …”
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    Monograph
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  5. 5
    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
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  6. 6
    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The predictive performance of these algorithms are evaluated using Australian electricity demand data. …”
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  7. 7
    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The predictive performance of these algorithms are evaluated using Australian electricity demand data. …”
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  8. 8
    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The predictive performance of these algorithms are evaluated using Australian electricity demand data. …”
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  9. 9
    Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

    Examining performance of aggregation algorithms for neural network-based electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2015
    “…The outputs from NN models are combined by three different aggregation algorithms. These aggregation algorithms comprise of a simple average, trimmed mean, and a Bayesian model averaging. …”
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  10. 10
    Isolated digit speech recognition in Malay language using Neuro-Fuzzy approach

    Isolated digit speech recognition in Malay language using Neuro-Fuzzy approach by Sabah, R., Ainon, R.N.

    Published 2009
    “…To recognize the Malay speech digits, the endpoint detection algorithm is used to trim the silent duration in speech sample, the Mel Frequency Cepstral Coefficient technique is used to extract speech features, the subtractive clustering algorithm is applied to identify the fuzzy inference system, and the Adaptive Neuro Fuzzy Inference System (ANFIS) is used as a modern classification technique to train in identifying the features of speech. …”
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  11. 11
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  12. 12
    Next generation sequencing-data analysis for cellulose- and xylan-degrading enzymes from POME metagenome

    Next generation sequencing-data analysis for cellulose- and xylan-degrading enzymes from POME metagenome by Benbelgacem, Farah Fadwa, Mohd Noor Mat Isa, Abdelrahim, Muhammad Alfatih Muddathir, Afidalina Tumian, Bellag, Oualid Abdelkader, Adibah Parman, Ibrahim Ali Noorbatcha, Hamzah Mohd Salleh

    Published 2018
    “…First, the quality of 64,821,599 reverse and forward sequences of 101 bp length raw data was tested using Fastqc and SOLEXA. Then, raw data filtering was carried out by trimming low quality values and short reads and the vector sequences were removed and again the output was checked and the trimming was repeated until a high quality read sets was obtained. …”
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  13. 13
    Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches

    Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches by Liew, S.Y., Wong, E.S.K.

    Published 2009
    “…In the second algorithm, the search tree is carefully trimmed down in order to reduce complexity and overheads. …”
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  14. 14
    Cuckoo Search Approach for Cutting Stock Problem

    Cuckoo Search Approach for Cutting Stock Problem by Shair, Ezreen Farina, Khor, Shen Young, Abdullah, Abdul Rahim, Jaafar, Hazriq Izzuan, Saharuddin, Nur Zawani, Zainal Abidin, Amar Faiz

    Published 2015
    “…Cuckoo Search Algorithm is selected because it is a new algorithm and outperforms many algorithms. …”
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  15. 15
    Identifying multiple outliers in linear regression : Robust fit and clustering approach

    Identifying multiple outliers in linear regression : Robust fit and clustering approach by Adnan, Robiah, Setan, Halim, Mohammad, Mohd. Nor

    Published 2001
    “…This research provides a clustering based approach for determining potential candidates for outliers.This is a modification of the method proposed by Serbert et.al (1998).It is based on using the single linkage clustering algorithm to group the standardized predicted and residual values of data set fit by least trimmed of squares (LTS).…”
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  16. 16
    Investigating feed mix problem approaches: An overview and potential solution

    Investigating feed mix problem approaches: An overview and potential solution by Abd Rahman, Rosshairy, Chooi, Leng Ang, Ramli, Razamin

    Published 2010
    “…Additionally, this paper introduce an enhance algorithm which is deemed suitable to deal with all the issues arise. …”
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  17. 17
    Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting

    Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting by HASSAN, SAIMA

    Published 2013
    “…The output of the aggregation algorithms of NNs ensemble were analyzed and compared with each other and with the individual NN models used in NNs ensemble. …”
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  18. 18
    NGS-data analysis for netagenome cellulose- and Xylan- degrading enzymes finding

    NGS-data analysis for netagenome cellulose- and Xylan- degrading enzymes finding by Ibrahim Ali, Noorbatcha, Hamzah, Mohd. Salleh

    Published 2017
    “…First, the quality of 64.821.599 reverse and forward sequences of 101bp length raw data was identified using Fastqc. Then, raw data filtering was done by trimming low quality values and short reads and the vector sequences were removed and again the output was checked and the trimming was repeated until a high quality read sets was obtained. …”
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    Proceeding Paper
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  19. 19
    Dynamic robust bootstrap method based on LTS estimators

    Dynamic robust bootstrap method based on LTS estimators by Midi, Habshah, Uraibi, Hassan Sami, Al-Talib, Bashar Abdul Aziz Majeed

    Published 2009
    “…In this paper, we propose a robust bootstrap algorithm based on Least Trimmed of Squares (LTS) estimator which will be unaffected in the presence of outliers. …”
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  20. 20
    VIDEO LOCALIZATION USING ARRAY OF MICORPHONES

    VIDEO LOCALIZATION USING ARRAY OF MICORPHONES by SALIH OSMAN, YASIR

    Published 2009
    “…The system is been developed for closed room localization but it can also be extended to outdoor applications by using suitable sensors and suitable cameras, in video discussions the system can be used in conferences and in parliament halls where such a system can be used as an automatic cameraman.…”
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    Final Year Project
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