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  1. 1
    Artificial neural network and inverse solution method for assisted history matching of a reservoir model

    Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

    Published 2017
    “…In the inverse solution method of training a neural network architecture, the training input and output data are set to be historical and reservoir data, respectively. …”
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  2. 2
    Ontology matching: in search of challenges ahead

    Ontology matching: in search of challenges ahead by Farooqui, N.K., Noordin, Mohamad Fauzan, Muhammad, AbdulHafeez

    Published 2015
    “…This paper presents key features and challenges for the development of the next generation ontology matcher. Matching elements of two data instances plays an important role in e-business, multilingual data instances, biomedical and open data cloud. …”
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  3. 3
    Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data

    Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data by Laxmi Lydia E., Sharmili N., Nguyen P.T., Hashim W., Maseleno A.

    Published 2023
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  4. 4
    Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching

    Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching by Md. Anuar, Nurul Syaza

    Published 2014
    “…History matching is a process of altering parameters in a reservoir simulator in order to match production performance with observed historical data. …”
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    Final Year Project
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  5. 5
    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

    Published 2023
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  6. 6
    Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction

    Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction by Mohd Nadzri,, Muhammad Muzakkir, Ahmad, Afandi, Tukiran, Zarina

    Published 2020
    “…There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. …”
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    Conference or Workshop Item
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  7. 7
    Keyword Competition Approach In Ranked Document Retrieval

    Keyword Competition Approach In Ranked Document Retrieval by Sihombing, Poltak

    Published 2010
    “…Keyword based ranking scheme consists of two (2) main phases; namely keyword solution matching and similarity percentage formulation. …”
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  8. 8
    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum, A., Malik, A.S., Saad, N.M., bin Abdullah, M.F., Iqbal, M., Rasheed, W., Bin Ab Abdullah, A.R., Hj Jaafar, M.Y.

    Published 2017
    “…Results were compared with well-known algorithms; including, for example, global and local stereo matching algorithms. …”
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  9. 9
    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors

    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors by Binajjaj, Saeed Ali Saeed

    Published 2010
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  10. 10
    An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways

    An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways by Ahmad Muhaimin, Ismail, Mohd Saberi, Mohamad, Hairudin, Abdul Majid, Khairul Hamimah, Abas, Safaai, Deris, Zaki, Nazar, Siti Zaiton, Mohd Hashim, Zuwairie, Ibrahim, Muhammad Akmal, Remli

    Published 2017
    “…Although the model itself can potentially match a set of experimental data, a high-performance estimation algorithm is required to improve the quality of the solutions. …”
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  11. 11
    Extensions to the K-AMH algorithm for numerical clustering

    Extensions to the K-AMH algorithm for numerical clustering by Seman, Ali, Mohd Sapawi, Azizian

    Published 2018
    “…The original k-AMH algorithm for categorical values uses a simple matching dissimilarity measure, but for numerical values it uses Euclidean distance. …”
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  12. 12
    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy

    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

    Published 2023
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  13. 13
    Automated Student Timetable Scheduling System based on Genetic Algorithm

    Automated Student Timetable Scheduling System based on Genetic Algorithm by Amirul Azuani, Romlee, Noor Ain, Rosly, Meng, Chuan Haw

    Published 2019
    “…Genetic algorithm works based on natural evolutions that comprises of several iterations. …”
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  14. 14
    CSI-based human activity recognition via lightweight compact convolutional transformers

    CSI-based human activity recognition via lightweight compact convolutional transformers by Wong, Yan Chiew, Abuhoureyah, Fahd Saad Amed, Al-Taweel, Malik Hasan, Abdullah, Nihad Ibrahim

    Published 2024
    “…The lightweight Compact Convolutional Transformer (CCT) algorithm proposed in this work offers a solution by streamlining the process of leveraging CSI data for activity recognition in such complex data. …”
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  15. 15
    Speech processing for makhraj recognition (design adaptive filter for noise removal)

    Speech processing for makhraj recognition (design adaptive filter for noise removal) by Siti Nurmaisarah, Abdul Aziz

    Published 2010
    “…The filtered data will be processed to match the standard pronunciations and it will be integrated with filter design process in MATLAB. …”
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    Undergraduates Project Papers
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  16. 16
    A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING

    A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING by HUSSAIN, NAZABAT HUSSAIN

    Published 2011
    “…In this research, a forward modeling algorithm is employed as a staggered-grid finite difference solution to the totalelectric field Maxwell’s equations. …”
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  17. 17
    An improved method in speech signal input representation based on DTW technique for NN speech recognition system

    An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
    “…The paper also proposes the use of pitch feature derived from the recorded speech data as another input feature. The Dynamic Time Warping algorithm (DTW) is the back–bone of the newly developed algorithm called DTW fixing frame algorithm (DTW–FF) which is designed to perform template matching for the input preprocessing. …”
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  18. 18
    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection

    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection by Abeer Elkhouly, Allan MelvinAndrew, HaslizaA Rahim, NidhalAbdulaziz, Mohd FareqAbd Malek, Shafquzzaman Siddique

    Published 2023
    “…Diferent normalization methods are applied and studied statistically to improve the training data set. The proposed Machine Learning (ML) algorithm outperformed the current existing models, where, the accuracy, precision, recall, specifcity, and F-score values are higher. …”
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  19. 19
    Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon

    Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon by Wong, Teck Ngin

    Published 2004
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  20. 20
    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE

    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE by Abbas Alhadeethy, Najwa Fadhil, Khedher, Akram M Z M, Shah, Asadullah

    Published 2012
    “…Hence, the best clinical applications of DL require considerate problem solving solution, selection of the most suitable DL algorithms and information, and defining balance of outcome. …”
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