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  1. 1
    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach

    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach by Gambo, Nuru, Said, Ilias, Ismail, Radzi

    Published 2016
    “… The technical performance requirements of projects posed a challenge to the sustainable development of small size local government projects particularly in developing countries. …”
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  2. 2
    Development of symbolic algorithms for certain algebraic processes

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'Aini

    Published 2007
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    Monograph
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  3. 3
    Development of symbolic algorithms for certain algebraic processes

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'aini

    Published 2007
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    Monograph
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  4. 4
    Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises

    Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises by Salisu, Yakubu

    Published 2019
    “…Based on the model developed, a questionnaire was constructed and personally administered at random to collect the data from 229 respondents in the study area. …”
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  5. 5
    Autonomous path planning robot using geographical information

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
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    Learning Object
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  6. 6
    Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines

    Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines by Abd Rahman, Muhammad Zulkarnain, Dinand, Alkema

    Published 2007
    “…In addition the small scale construction, for instance the Drainage System in Barangay Triangulo had played a major role in changing the flood behaviour, especially in a small magnitude flood. …”
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  7. 7
    Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI

    Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI by Ahmed Al-Azazi, Saleem, Alawag, Aawag Mohsen, Saif, Amin

    Published 2026
    “…The paper concludes by arguing that the prevailing fixation on "big data" is a critical limitation and calls for a new research direction focused on developing robust AI systems that can effectively reason with "small data" and integrate rich qualitative inputs, thereby ensuring that AI serves as a tool for equitable and sustainable development rather than a driver of a new digital divide.…”
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  8. 8
    Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique

    Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique by Saliman, Nur Farah Ain

    Published 2012
    “…The first design required more Logic Element (LE) as compare to second design which increased gradually in small interval. Therefore, the second design is the best approach in optimizing the optimal path trace back for Smith Waterman algorithm. …”
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  9. 9
    Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach

    Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach by Bareduan, Salleh Ahmad, Hasan, Sulaiman

    Published 2012
    “…Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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  10. 10
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…The paper describes the network algorithms developed and used in the design process of the AGR including simulations and circuit designs done for the prototype. …”
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  11. 11
    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks

    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks by Abd Aziz, Azrina, Sekercioglu, Ahmet

    Published 2012
    “…The method is based on the Connected Dominating Set (CDS) concept, which takes energy reserves of the individual nodes into consideration when constructing the virtual backbone. To achieve this, we have developed a novel algorithm called three phase single initiator (TPSI). …”
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  12. 12
    Aco-based feature selection algorithm for classification

    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
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  13. 13
    A Stepper Motor Design Optimization Using

    A Stepper Motor Design Optimization Using by Wong, Chin Wei

    Published 2005
    “…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
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  14. 14
    Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System

    Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System by Ahmed Al- Wathaf, Ahmed Hasan

    Published 2006
    “…Presently, interlocking mortarless masonry system has been developed as an alternative to the conventional mortared masonry system for wall construction. …”
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  15. 15
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  16. 16
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Muhamad Aiman Raziq, Muhamad Aiman Raziq, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  17. 17
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, MuhamadAiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  18. 18
    Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, H. P. Manurung, Yupiter, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon6 & Vladimir S. Kachinskyi, John R. C. Dizon6 & Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  19. 19
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by SuhailaAbd Halim, SuhailaAbd Halim, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinsky, Vladimir S. Kachinsky

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  20. 20
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinsky, Vladimir S. Kachinsky

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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