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  1. 1
    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model

    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model by Dashti, Maedeh, Gandoman, Taghi Javdani, Adeh, Dariush Hasanpoor, Zulzalil, Hazura, Md Sultan, Abu Bakar

    Published 2021
    “…Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. Employing the proposed method showed considerable improvement in estimating software cost estimation.…”
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  2. 2
    Software effort estimation using machine learning technique

    Software effort estimation using machine learning technique by Rahman, Mizanur, Roy, Partha Protim, Ali, Mohammad, Gonçalves, Teresa, Sarwar, Hasan

    Published 2023
    “…These methods are now used by the software development industry for software estimating with the goal of overcoming the limitations of parametric and conventional estimation techniques and advancing projects. …”
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  3. 3
    A review article on software effort estimation in agile methodology

    A review article on software effort estimation in agile methodology by Sudarmaningtyas, Pantjawati, Rozlina, Mohamed

    Published 2021
    “…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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  4. 4
    A review article on software effort estimation in agile methodology

    A review article on software effort estimation in agile methodology by Sudarmaningtyas, Pantjawati, Rozlina, Mohamed

    Published 2021
    “…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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  5. 5
    Effort Estimation Model for Function Point Measurement

    Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

    Published 2007
    “…The process starts with the planning phase activities and refined throughout the development. Various cost estimation models and methods are available to be used for software development process. …”
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    Thesis
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  6. 6
    Stator resistance estimation of induction motor using genetic algorithm

    Stator resistance estimation of induction motor using genetic algorithm by Nurul Syamila, Mohd Rosli

    Published 2012
    “…In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. …”
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    Undergraduates Project Papers
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  7. 7
    Trend analysis of software engineering scientific publications

    Trend analysis of software engineering scientific publications by Tengku Nadzirah, Tengku Majani

    Published 2019
    “…The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. …”
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    Undergraduates Project Papers
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  8. 8
    Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction

    Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction by Nasser, Abdullah, H.M. Ghanem, Waheed Ali, H.Y. Saad, Abdul-Malik, Hamed Abdul-Qawy, Antar Shaddad, A. Ghaleb, Sanaa A, Mohammed Alduais, Nayef Abdulwahab, Din, Fakhrud, Ghetas, Mohamed

    Published 2024
    “…Software Defect Prediction (SDP) plays a vital role in the software development life cycle as it helps identify and fix software defects. …”
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  9. 9
    Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

    Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach by Tan C.H., Yap K.S., Yap H.J.

    Published 2023
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  10. 10
    Multifunctional optimized group method data handling for software effort estimation

    Multifunctional optimized group method data handling for software effort estimation by Arbain, Siti Hajar

    Published 2022
    “…Group Method of Data Handling (GMDH) algorithms have been widely used for modelling and identifying complex systems and potentially applied in software effort estimation. …”
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  11. 11
    Optimization of COCOMO model using particle swarm optimization

    Optimization of COCOMO model using particle swarm optimization by Zakaria, Noor Azura, Ismail, Amelia Ritahani, Zainal Abidin, Nadzurah, Mohd Khalid, Nur Hidayah, Yakath Ali, Afrujaan

    Published 2021
    “…Software effort and cost estimation are crucial parts of software project development. …”
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  12. 12
    Multilevel optimization for dense motion estimation

    Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

    Published 2011
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    Monograph
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  13. 13
    Long term energy demand forecasting based on hybrid, optimization: Comparative study

    Long term energy demand forecasting based on hybrid, optimization: Comparative study by Musa, Wahab, Ku-Mahamud, Ku Ruhana, Yasin, Azman

    Published 2012
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  14. 14
    Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search

    Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search by Aw, Mei Yee, Mohd Saberi, Mohamad, Chong, Chuii Khim, Safaai, Deris, Muhammad Akmal, Remli, Mohd Arfian, Ismail, Corchado, Juan Manuel, Omatu, Sigeru

    Published 2019
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  15. 15
    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models

    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models by Mohd Aris, M.N., Daud, H., Mohd Noh, K.A., Dass, S.C.

    Published 2022
    “…The resulting error measurements and the computational time revealed that GPR can estimate the marine CSEM responses efficiently and at par to the current methods. …”
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  16. 16
    Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems

    Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems by Sabira, Khatun, Ali K., Marzook, Alyani, Ismail, Aduwati, Sali, Mohannad Hamed, Khalaf, Borhan, M. Ali

    Published 2012
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  17. 17
    Hybrid optimization approach to estimate random demand

    Hybrid optimization approach to estimate random demand by Wahab, Musa, Ku-Mahamud, Ku Ruhana, Yasin, Azman

    Published 2012
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    Conference or Workshop Item
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  18. 18
    Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey

    Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey by Ali, J.M., Hussain, Mohd Azlan, Tade, M.O., Zhang, J.

    Published 2015
    “…However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. …”
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  19. 19
    Measuring Power Consumption for Image Processing on Android Smartphone

    Measuring Power Consumption for Image Processing on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…Even though measurement based method is more accurate than estimation-based method in term of measuring power consumption, PowerTutor application proved it provides accurate, real-time power consumption estimation for Android platform smartphones. …”
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  20. 20
    An intelligent method to estimate the inertia matrix of a robot arm for active force control using on-line neural network training scheme

    An intelligent method to estimate the inertia matrix of a robot arm for active force control using on-line neural network training scheme by Hussein, Shamsul Bahri, Jamaluddin, Hishamuddin, Mailah, Musa

    Published 1999
    “…This paper presents a new intelligent controller algorithm comprising an on-line multi-layer artificial neural network (ANN) training scheme to estimate the inertia matrix of the robot arm to enhance the performance of the active force control (AFC) scheme. …”
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