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  1. 1
    Segmentation of MRI brain images using statistical approaches

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…Also, a filter-based image inhomogeneity-correction algorithm is proposed which uses the maximum filter for inhomogeneity field estimation. …”
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  2. 2
    Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks

    Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks by Pathi, Imdad Binti Mahmud

    Published 2024
    “…The Artificial Neural Network Redshift (annz) algorithm is a fast and simple machine learning photometric redshift estimator. …”
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  3. 3
    Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO)

    Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO) by Jasni, Mohamad Zain, Azrag, Mohammed Adam Kunna, Saiful Farik, Mat Yatin, Aldehim, Ghadah, Zuhaira, Muhammad Zain, Shaiba, Hadil, Alturki, Nazik, Sapiah, Sakri, Azlinah, Mohamed, Jaber, Aqeel S.

    Published 2024
    “…As a result of this new method, it was discovered that small-scale and even whole-cell dynamic models can be estimated accurately.…”
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  4. 4
    Robust estimation methods for fixed effect panel data model having block-concentrated outliers

    Robust estimation methods for fixed effect panel data model having block-concentrated outliers by Abu Bakar @ Harun, Nor Mazlina

    Published 2019
    “…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
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  5. 5
    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…This method is one of the most effective methods for template matching. …”
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  6. 6
    Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems

    Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Hesamian, Mohammad Hesam

    Published 2016
    “…The recorded values are evaluated by a designed and tuned multi-layer feed forward neural network and the fault distances from the source are estimated accordingly. In order to highlight the accuracy of the presented method, the scenario is also repeated by recording the peak values of short circuit current which have been mostly used in the published intelligent fault location studies and the obtained results via two different values are compared with each other. …”
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  7. 7
    Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers

    Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers by Uraibi, Hassan S.

    Published 2016
    “…In this situation, the existing Elastic-Net and RE-Net methods are not capable of selecting the important variables in the final model. …”
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  8. 8
    Automated Scaling Region of Interest with Iterative Edge Preserving in Forward-Backward Time-Stepping

    Automated Scaling Region of Interest with Iterative Edge Preserving in Forward-Backward Time-Stepping by Juliana, Binti Nawawi

    Published 2019
    “…Average RE is 61.94% for a circular shape in breast model, meanwhile attains RE of 4.17% for a U-shape object. …”
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  9. 9
    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

    Published 2013
    “…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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  10. 10
    Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea

    Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea by Sim, Doreen Ying Ying, Teh, Chee Siong, Ahmad Izuanuddin, Ismail

    Published 2018
    “…The novelty of the post-pruning technique applied is that it is augmented by AA properties and these depend on the data characteristics in the dataset(s) being accessed. This algorithm is then boosted by using AdaBoost ensemble method. …”
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  11. 11
    Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring

    Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring by Ab Halim, Haizum Hanim

    Published 2021
    “…In a conclusion, SEM prototype and adaptive communication data transfer algorithm with a combination of the three communication will be another method to solve a single communication problem of SM and suitable in residential location that offered the proposed communication infrastructure.…”
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  12. 12
    CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK

    CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK by NURSHAZLINA SUHAIMY

    Published 2023
    “…Smart grid is an evolution from conventional power grid in which power communication system has migrated from one-way to bi-directional communication network. …”
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  13. 13
    Design of Improved Stream Cipher Algorithms for GSM Communication

    Design of Improved Stream Cipher Algorithms for GSM Communication by Nur Hafiza Zakaria

    Published 2024
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  14. 14
    Joint optimal detection of ordering SIC ZF and SIC ZF MAP for V-BLAST/STBC wireless communication systems

    Joint optimal detection of ordering SIC ZF and SIC ZF MAP for V-BLAST/STBC wireless communication systems by Chong, Jin Hui, Khatun, Sabira, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin, Syed Junid, Syed Mansor

    Published 2008
    “…In this paper, we consider a V-BLAST/STBC wireless communication architecture, which integrates Alamouti space-time block codes (STBC) layer with vertical Belllabs layered space-time (V-BLAST) layer, in MIMO wireless communication system with four transmitter and three receiver antennas over Rayleigh flat-fading channel. …”
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  15. 15
    Lightweight PRINCE algorithm IP core for securing GSM messaging using FPGA

    Lightweight PRINCE algorithm IP core for securing GSM messaging using FPGA by Abbas Y.A., Jidin R., Jamil N., Z'aba M.R.

    Published 2023
    “…The system can cipher the data using PRINCE algorithm on a VIRTEX-403 FPGA evaluation board and using GSM modems to communicate over a cellular network. …”
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  16. 16
    Robust Kernel Density Function Estimation

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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  17. 17
    Development of collision avoidance system for multiple autonomous mobile robots

    Development of collision avoidance system for multiple autonomous mobile robots by Hou Y.C., Mohamed Sahari K.S., Weng L.Y., Foo H.K., Abd Rahman N.A., Atikah N.A., Homod R.Z.

    Published 2023
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  18. 18
    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar

    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

    Published 2021
    “…In this study, a new algorithm called the Quantum Robot Darwinian Particle Swarm Optimization (QRDPSO) is contributed with the hypothesis that quantum behaving particles can address the RDPSO main gaps; i.e. to improve the exploration and communication performance of a swarm robotic system. …”
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  19. 19
    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system

    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…It should be mentioned that reduction of computational complexity of the channel estimation and data detection algorithm is a major challenge for receiver design in MIMO-OFDM system, and complication of receiver design is mostly due to these algorithms. …”
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  20. 20
    A Non‑cooperative Uplink Power Control for CDMA Wireless Communication System

    A Non‑cooperative Uplink Power Control for CDMA Wireless Communication System by Ali Farzamnia, Eng Soo Yew, Ervin Gubin Moung

    Published 2020
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