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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
    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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  3. 3
    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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  4. 4
    CSGO: a game-inspired metaheuristic algorithm for global optimization

    CSGO: a game-inspired metaheuristic algorithm for global optimization by Rahman, Tuan A. Z., Md Rezali, Khairil Anas, As'arry, Azizan

    Published 2023
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  5. 5
    An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction

    An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction by Shah, Habib

    Published 2014
    “…Most of the training algorithms focus on weight values, activation functions, and network structures for providing optimal outputs. …”
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  6. 6
    An improved grey wolf with whale algorithm for optimization functions

    An improved grey wolf with whale algorithm for optimization functions by Asgher, Hafiz Maaz

    Published 2022
    “…The performance of the proposed algorithm is tested and evaluated on five benchmarked unimodal and five multimodal functions. …”
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  7. 7
    Global optimization method for continuous - Time sensor scheduling

    Global optimization method for continuous - Time sensor scheduling by Woon, Siew Fang, Rehbock, Volker, Loxton, Ryan C.

    Published 2010
    “…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
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  8. 8
    A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm

    A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm by Hasan, Md Munirul

    Published 2019
    “…The aim of this model is to extend the proximity service (ProSe) and expand integrated global-local information exchange in the post-flood SAR activities. …”
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  9. 9
    Gps solution for active queue management using android platform

    Gps solution for active queue management using android platform by Liu, Yu Yao

    Published 2021
    “…This proposed project proposes an active queue management system in multiple location integrated with GPS (Global Positioning System) Android mobile application. …”
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  10. 10
    The effect of adaptive parameters on the performance of back propagation

    The effect of adaptive parameters on the performance of back propagation by Abdul Hamid, Norhamreeza

    Published 2012
    “…In this method, each training pattern has its own activation functions of neurons in the hidden layer. …”
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  11. 11
    Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control

    Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi

    Published 2024
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  12. 12
    DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES

    DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES by GANESAN, TIMOTHY

    Published 2014
    “…The proposed framework is introduced as the 'surgery framework (SF)' since its prime functionality is to dissect the algorithm and add certain mechanisms into it. …”
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  13. 13
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele O.F., Ayodele B.V., Mustapa S.I., Fernando Y.

    Published 2023
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  14. 14
    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
    “…The particular fitness function is chosen as a single objective based on control parameters. …”
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  15. 15
    Optimization of supply chain management by simulation based RFID with XBEE Network

    Optimization of supply chain management by simulation based RFID with XBEE Network by Soomro, Aftab Ahmed

    Published 2015
    “…This algorithm computes the optimal results of objective functions in a scientific manner. …”
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  16. 16
    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends by Hossain Lipu M.S., Hannan M.A., Hussain A., Ayob A., Saad M.H.M., Karim T.F., How D.N.T.

    Published 2023
    Review
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  17. 17
    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects

    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects by Lipu M.S.H., Miah M.S., Hannan M.A., Hussain A., Sarker M.R., Ayob A., Saad M.H.M., Mahmud M.S.

    Published 2023
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  18. 18
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele, Ozavize Freida, Ayodele, Bamidele Victor, Siti Indati, Mustapa, Fernando, Yudi

    Published 2021
    “…Among the various configurations investigated, the perceptron neural network configured with hyperbolic tangent and sigmoid activation function at the hidden and outer layers, as well as the configuration with sigmoid activation functions at the hidden and outer layers, offer the best performance. …”
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  19. 19
    The reliability of halal product transportation using GPS tracking system

    The reliability of halal product transportation using GPS tracking system by Mohamad, Maizatul Akma, Mansor, Shattri, Ahmad, Noordin, Wan Adnan, Wan Azizun, Muhammad Wali, Islam

    Published 2016
    “…A functional prototype device with a web based interface for reporting function was completely built and tested in different kind of situation. …”
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  20. 20
    A modified π rough k-means algorithm for web page recommendation system

    A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

    Published 2018
    “…The modified πRKM is able to perform better partition by identifying the overlapping objects between the correct clusters and also capable to do a re-partition using the indiscernibility relation function. Thirdly, the local and global similarity algorithm is proposed to classify the current user pages request to produce recommendations. …”
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