Search Results - adaptive affect different selection algorithm

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  1. 1

    Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography by Tian, Wenbin, Ramli, Mimi Faisyalini, Yang, Wuqiang, Sun, Jiangtao

    Published 2020
    “…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. …”
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    Article
  2. 2

    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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  3. 3
  4. 4

    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

    Published 2019
    “…The Sum of Absolute Different (SAD) is the matching cost’s method and some threshold adjustment were used in this thesis where the SAD’s window size of 11 and threshold value of 0.8 was selected based on the experimental results. …”
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    Thesis
  5. 5

    Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm by Taleghani, Hussein

    Published 2017
    “…There are different algorithms used as a regenerative braking strategy. …”
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    Thesis
  6. 6

    Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection by Alsmadi, Issa Mohammad Ibrahim

    Published 2018
    “…In the first stage, we propose an adaptive filter-based feature selection method that is derived from the odd ratio method, used in reducing the dimensionality of feature space. …”
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    Thesis
  7. 7

    Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs by Liew, W.S., Seera, M., Loo, C.K., Lim, E.

    Published 2015
    “…Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. …”
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  8. 8

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
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    Thesis
  9. 9

    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

    Published 2019
    “…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
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  10. 10
  11. 11

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…Three algorithms of Linear (PURELIN), hyperbolic tangent sigmoid (TANSIG) and logistic sigmoid (LOGSIG) activation functions were selected for output layer. …”
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    Thesis
  12. 12

    An efficient CSMA-CA algorithm for IEEE 802.15.4 wireless sensor networks by Dahham, Zahraa, Sali, Aduwati, Mohd Ali, Borhanuddin, Jahan, Md. Saukat

    Published 2012
    “…In this paper, we proposed an efficient and adaptive backoff algorithm (EBA) to minimize the collisions among the contending nodes. …”
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  13. 13

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…Therefore, several studies have employed some schemes to reduce data redundancy in the clustered network before data aggregation to mitigate the problems that affects the data aggregation efficiency. This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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  14. 14

    Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms by Rochin Demong, Nur Atiqah, Shahrom, Melissa, Abdul Rahim, Ramita, Omar, Emi Normalina, Yahya, Mornizan

    Published 2023
    “…This is especially useful in fields such as psychology, marketing, and recruitment, where understanding the nuances of individual personalities can be critical to success. In this study, how different personality trait models compare in terms of accuracy and reliability is explored using different machine learning algorithms using the WEKA tool. …”
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    The use of heuristic ordering and particle swarm optimization for nurse scheduling problem by Mohd Rasip, Norhayati

    Published 2017
    “…The constraints are adapted to the evaluation function that iteratively evaluates all the solutions. …”
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    Thesis
  17. 17

    Efficient back-off mechanism for IEEE 802.15.4 wireless sensor networks by Qadawi, Zahraa D.A.

    Published 2013
    “…In this case, the nodes not only choose BE randomly as mentioned in the standard but they select TB and NTB between 10% to 50% of the actual backoff delay selected randomly by the node. …”
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  18. 18

    A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform by Mahmmod, Basheera M.

    Published 2018
    “…Therefore, robust Speech Enhancement Algorithms (SEA) that suppress noise without distorting the original signals are necessary. …”
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    Thesis