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  1. 1
    A new soft set based pruning algorithm for ensemble method

    A new soft set based pruning algorithm for ensemble method by Mohd Khalid, Awang, Mohd Nordin, Abdul Rahman, Mokhairi, Makhtar

    Published 2016
    “…However, only a few researches focused on the ensemble pruning algorithm. Therefore, this paper aims to increase classification accuracy and at the same time minimizing ensemble classifiers by constructing a new ensemble pruning method (SSPM) based on dimensionality reduction in soft set theory. …”
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  2. 2
    Ideal combination feature selection model for classification problem based on bio-inspired approach

    Ideal combination feature selection model for classification problem based on bio-inspired approach by Basir, Mohammad Aizat, Hussin, Mohamed Saifullah, Yusof, Yuhanis

    Published 2020
    “…Such a finding indicates that the exploitation of bio-inspired algorithms with ideal combination of wrapper/filtered method can contribute in finding the optimal features to be used in data mining model construction.…”
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  3. 3
    Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions

    Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions by Hajighorbani, Shahrooz

    Published 2016
    “…In the first group, the conventional techniques are combined with other techniques and the second group is based on the optimization methods. One of the main challenges of MPPT techniques under PSCs is ability of the algorithms to find the GMPP faster with minimal oscillation in power. …”
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  4. 4
    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…The objective of the thesis is to develop new sequential and parallel algorithms that are faster than the standard Finite Difference Time Domain method. …”
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  5. 5
    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…Additionally, the PSO algorithm was found to improve the correlation tests (reduction in correlation violation 22.22% in DCM NARX, 1.89% in FRA NARMAX and 10.46% in MG NARMA experiment) relative to the LLS algorithms.…”
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  6. 6
    An ensemble method with cost function on churn prediction

    An ensemble method with cost function on churn prediction by Mohd Khalid, Awang, Mohammad Afendee, Mohamed, Mokhairi, Makhtar

    Published 2019
    “…Therefore, this paper aims to achieve higher classification accuracy and at the same time, minimising ensemble classifiers by constructing a new ensemble method based on dimensionality reduction in soft set theory. …”
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  7. 7
    Applying empirical thresholding algorithm for a keystroke dynamics based authentication system

    Applying empirical thresholding algorithm for a keystroke dynamics based authentication system by Venugopal, Priya Chaliyath, Viji, Kamalan Saroja Angel

    Published 2019
    “…In this paper, a novel algorithm is proposed to authenticate the legal users based on the empirical threshold values. …”
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  8. 8
    A proactive energy awareness traffic routing for wireless sensor networks against energy sink-holes

    A proactive energy awareness traffic routing for wireless sensor networks against energy sink-holes by Mustafa, Mayada Salih Abdalla

    Published 2019
    “…Next, the problem of large variations in energy consumptions with multiple sinks in merging tree-based multiple energy hole alleviation algorithm (MEHA-MT) is addressed. …”
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  9. 9
    Enhance the robustness of secure Rijndael key expansion function based on increment confusion and diffusion bits

    Enhance the robustness of secure Rijndael key expansion function based on increment confusion and diffusion bits by Hussien, Hassan Mansour, Muda, Zaiton, Md. Yasin, Sharifah

    Published 2017
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  10. 10
    Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction

    Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction by Al-Himyari, Bayadir Abbas

    Published 2017
    “…An enhanced hybrid Genetic Algorithm based Fuzzy Bayesian classifier (GA-FBC) was proposed to help the NFS in the rule extraction. …”
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  11. 11
    An efficient up-link load reduction model based on clustering in vanets

    An efficient up-link load reduction model based on clustering in vanets by Abbas Al-Sallami, Ali Hashim

    Published 2019
    “…The DMA method filtered the CHs information by sending only new information to the BS; therefore, this method helped to reduce the load at BSs. …”
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  12. 12
    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method

    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. Afterward, the proposed solving methods are verified using 17 data sets from the literature and results are analyzed. …”
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  13. 13
    Channel assignment and congestion control in multi-radio multi-channel wireless mesh networks

    Channel assignment and congestion control in multi-radio multi-channel wireless mesh networks by Musaddiq, Arslan

    Published 2015
    “…In this study, a Joint Channel Assignment and Congestion Control (JCACC) scheme for MR-MC WMN has been proposed. The proposed method is based on node queue length information which as-signs the frequency channels based on queue threshold level that indicates the congestion status of the link. …”
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  14. 14
    An enhanced supplier selection model based on optimized analytic network process towards sustainable information technology outsourcing

    An enhanced supplier selection model based on optimized analytic network process towards sustainable information technology outsourcing by Fusiripong, Prashaya

    Published 2022
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  15. 15
    Computational approach via half-sweep and preconditioned aor for fractional diffusion

    Computational approach via half-sweep and preconditioned aor for fractional diffusion by Andang Sunarto, Praveen Agarwal, Jumat Sulaiman, Jackel Vui Lung Chew

    Published 2022
    “…The combination of a half-sweep finite difference scheme and PAOR algorithm can be a good alternative computational approach to solve the time-fractional diffusion equation-based mathematical physics model.…”
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  16. 16
    Speed sensorless control for PMSM drives using Extended Kalman Filter

    Speed sensorless control for PMSM drives using Extended Kalman Filter by Mat Lazi, Jurifa, Nordin, Mohamad Ikhwan, Talib, Md Hairul Nizam, Ibrahim, Zulkifilie

    Published 2021
    “…Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. …”
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  17. 17
    Maass cusp form on asymmetric hyperbolic torus

    Maass cusp form on asymmetric hyperbolic torus by Shamsuddin, Nor Syazana

    Published 2017
    “…The computation of MCF is an adapted algorithm of Hejhal and Then, i.e. based on implicit automorphy and finite Fourier series. …”
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  18. 18
    Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi

    Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi by Yazdi, Saeed Reza Aghabozorgi Sahaf

    Published 2013
    “…Many of these studies focus on the time complexity of time-series clustering in large datasets and utilize dimensionality reduction approaches and conventional clustering algorithms to address the problem. …”
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  19. 19
    A modified strength capacity for composite slab using reliability approach

    A modified strength capacity for composite slab using reliability approach by Mohammed, Kachalla

    Published 2016
    “…Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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  20. 20
    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets

    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

    Published 2006
    “…Moreover, most of these algorithms are based either on Fourier transmission or on first order wavelet techniques. …”
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