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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Optimize the maximum flow of electricity capacity using Ford Fulkerson, Edmonds Karp and Goldberg Tarjan algorithm / Nik Nur Diyana Nik Mohd Huzaidi

    Optimize the maximum flow of electricity capacity using Ford Fulkerson, Edmonds Karp and Goldberg Tarjan algorithm / Nik Nur Diyana Nik Mohd Huzaidi by Nik Mohd Huzaidi, Nik Nur Diyana

    Published 2024
    “…The main goals are to study these algorithms for maximum electricity flow, implement them to find the best flow in electricity transmission, and optimize the flow using these methods. …”
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  3. 3
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  4. 4
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  5. 5
    Transmission loss and load flow allocations via genetic algorithm technique

    Transmission loss and load flow allocations via genetic algorithm technique by Mohd Herwan, Sulaiman, Mustafa, M. W., Aliman, O.

    Published 2010
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  6. 6
    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

    Published 2021
    “…In this research, a novel algorithm (Herschel Bulkley Network) is introduced to simulate the non-Newtonian fluid flow in a pipe using data redundant deep neural network (DNN) for fully developed, laminar, and incompressible flow conditions. …”
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  7. 7
    Reduced Galloping Column Algorithm For Memory Testing

    Reduced Galloping Column Algorithm For Memory Testing by Ngieng , Siew Ching

    Published 2015
    “…There are lots of memory algorithms used for memory testing, including the galloping column algorithm (GalCol). …”
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  8. 8
    Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers

    Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2022
    “…OPF is one of the well-known problems in power system operations and with the inclusion of the FACTS devices allocation problems into OPF will make the solution more complex. Thus, seven metaheuristic algorithms: Barnacles Mating Optimizer (BMO), Marine Predators Algorithm (MPA), Moth–Flame Optimization (MFO), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Teaching–Learning-Based Optimization (TLBO) and Heap-Based Optimizer (HBO) are used to solve two objective functions: power loss and cost minimizations. …”
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  9. 9
    The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells

    The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells by Ayoub, Mohammed Abdalla

    Published 2010
    “…The need for accurate prediction of these parameters is a key factor in clearly understanding multiphase flow in tubing. Prediction of pressure drop in multiphase flow is quite difficult and complicated due to the complex relationships between the various parameters involved. …”
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  10. 10
    Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers

    Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2021
    “…Optimal power flow (OPF) is one of the complex problems in power system operation that includes multi-modal, large-scale, non-convex and non-linear constrained optimization problems. …”
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  11. 11
    Improving throughput of TCP flows by utilizing TCP-aware backpressure scheduling

    Improving throughput of TCP flows by utilizing TCP-aware backpressure scheduling by Kassim, P. D. M., Muhammed, A., Kadir, M. F. A., Mohamed, M. A., Rahiman, A. R. A., Jamil, N.

    Published 2023
    “…Backpressure algorithm is one of the techniques that can be used to achieve the maximum network throughput policies in wireless environments by routing the traffic over a multi-hop network dynamically using congestion gradient that directing the traffic around a queuing network. …”
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  12. 12
    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)

    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA) by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2024
    “…The (EE-HFS) optimization has been carried out using the Multi-Objective Dragonfly Algorithm (MODA). …”
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  13. 13
    An optical flow measurement technique based on continuous wavelet transform

    An optical flow measurement technique based on continuous wavelet transform by Osman, A.B., Ovinis, M., Faye, I., Hashim, F.M., Osei, H.

    Published 2018
    “…Flow measurement underwater oil leak is a challenging problem, due to the complex nature of flow dynamics. …”
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  14. 14
    An optical flow measurement technique based on continuous wavelet transform

    An optical flow measurement technique based on continuous wavelet transform by Osman, A.B., Ovinis, M., Faye, I., Hashim, F.M., Osei, H.

    Published 2018
    “…Flow measurement underwater oil leak is a challenging problem, due to the complex nature of flow dynamics. …”
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  15. 15
    Optimal power flow using hybrid firefly and particle swarm optimization algorithm

    Optimal power flow using hybrid firefly and particle swarm optimization algorithm by Khan, Abdullah, Hizam, Hashim, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi

    Published 2020
    “…In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Optimization (HFPSO) algorithm is applied to solve different non-linear and convex optimal power flow (OPF) problems. …”
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  16. 16
    A novel Tiki-Taka algorithm to optimize hybrid flow shop scheduling with energy consumption

    A novel Tiki-Taka algorithm to optimize hybrid flow shop scheduling with energy consumption by Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, N. M.

    Published 2022
    “…This paper modeled and optimized HFS with energy consumption using Tiki-Taka Algorithm (TTA). TTA is a novel algorithm inspired by football playing style that focuses on short passing and player positioning. …”
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  17. 17
    Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization

    Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2023
    “…In the future, these multi-objective algorithms’ potential can be further investigated for hybrid flow shop scheduling problems.…”
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  18. 18
    Optimal power flow solutions for power system operations using moth-flame optimization algorithm

    Optimal power flow solutions for power system operations using moth-flame optimization algorithm by Salman Ameen Ali, Abdullah Alabd

    Published 2021
    “…In this thesis, a recent metaheuristic nature-inspired optimization algorithm namely: Moth-Flame Optimizer (MFO) is applied to solve the two subproblems of Optimal power flow (OPF) namely: Economic dispatch (ED) and Optimal reactive power dispatch (ORPD) simultaneously. …”
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  19. 19
    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…DNN techniques is suitable in solving nonlinear and complex problem. The most popular method to solve parameter estimation problem is using optimization algorithm that easily trap to local minima and poor in exploitation to find the good solutions. …”
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  20. 20
    Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm

    Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm by Ullah, Wasif, Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2024
    “…This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. …”
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