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  1. 1
    Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting

    Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting by HASSAN, SAIMA

    Published 2013
    “…The results of the aggregation algorithms of NNs ensemble are also compared with the Simple Averaging method. …”
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  2. 2
    Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

    Examining performance of aggregation algorithms for neural network-based electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2015
    “…The outputs from NN models are combined by three different aggregation algorithms. These aggregation algorithms comprise of a simple average, trimmed mean, and a Bayesian model averaging. …”
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  3. 3
    Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster

    Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster by Ali, Wala'a Hussein

    Published 2018
    “…In this project three different data aggregation algorithms coding schemes based relative difference (CS-RD), an adaptive method of data aggregation that exploits the spatial correlation between the sensor nodes (ADAM) and coding schemes based the factor of precision (CS-FP) are evaluated. …”
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  4. 4
    A Novel Aggregate Classification Technique Using Moment Invariants and Cascaded Multilayered Perceptron Network

    A Novel Aggregate Classification Technique Using Moment Invariants and Cascaded Multilayered Perceptron Network by Md Sani, Zamani

    Published 2009
    “…This article discusses a novel method for automatic classification of aggregate shapes using moment invariants and artificial neural networks. …”
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  5. 5
    Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli

    Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli by Rosli, Shahrul Azmi

    Published 2010
    “…There is several training algorithm that can be used to compute a neural network problem. …”
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  6. 6
    Data redundancy reduction scheme for data aggregation in wireless sensor network

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

    Published 2020
    “…The aim to design MC and SAN algorithms is to increase data aggregation efficiency in terms of energy consumption, End-to-end delay, whereas the aim to design AD algorithm is to conserve aggregated data accuracy. …”
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  7. 7
    Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation

    Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation by Zahari, Madiha, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Herman, Adi Irwan

    Published 2023
    “…In this paper, a new framework of stereo matching algorithm that used the integration of census transform (CT) and sum of absolute difference (SAD) at the matching cost computation step, non-local cost aggregation at the second step, winner take all strategy at the third step, and a median filter at the final step to minimize disparity map error. …”
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  8. 8
    A decomposition/aggregation method for solving electrical power dispatch problems

    A decomposition/aggregation method for solving electrical power dispatch problems by Mansor M.H., Irving M.R., Taylor G.A.

    Published 2023
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  9. 9
    Development of a novel component carrier selection algorithm in long term evolution-advanced (LTE-A) with carrier aggregation

    Development of a novel component carrier selection algorithm in long term evolution-advanced (LTE-A) with carrier aggregation by Al Katsha, Mhd Zaher, Mohd. Ramli, Huda Adibah

    Published 2017
    “…Carrier Aggregation (CA), which is a method that aggregates multiple Component Carriers (CCs) of the same or different frequency bands, is one of the Long Term Evolution-Advanced (LTE-Advanced) key features. …”
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  10. 10
    Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan

    Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan by Mohd Ridzuan, Siti Amnah

    Published 2017
    “…Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.…”
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  11. 11
    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification

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

    Published 2019
    “…Thus, proposing the method of reestimating the dropping functions in the RED algorithm. …”
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  12. 12
    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)

    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

    Published 2008
    “…Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. …”
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  13. 13
    Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement

    Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement by Kadmin, Ahmad Fauzan, Al-Asbahi, Monther Yousef Abdulwasea Mohammed, Hamzah, Rostam Affendi, A Aziz, Khairul Azha, Zainal, Nasharuddin, Jazlan, Nabil Jazli

    Published 2025
    “…Local window-based cost aggregation often suffers from edge fattening and texture inconsistency. …”
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  14. 14
    Virtual power plant and microgrids controller for energy management based on optimization techniques

    Virtual power plant and microgrids controller for energy management based on optimization techniques by Abdolrasol M.G.M., Mohamed A., Hannan M.A.

    Published 2023
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  15. 15
    Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model

    Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model by Jasim, Ahmed Abdulhadi, Idris, Mohd Yamani Idna, Azzuhri, Saaidal Razalli, Issa, Noor Riyadh, Noor, Noorzaily Mohamed, Kakarla, Jagadeesh, Amiri, Iraj Sadegh

    Published 2019
    “…This makes the data aggregation network are exposed to malicious activities. …”
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  16. 16
    A new function of stereo matching algorithm based on hybrid convolutional neural network

    A new function of stereo matching algorithm based on hybrid convolutional neural network by Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Herman, Adi Irwan

    Published 2022
    “…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. …”
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  17. 17
    Disparity map algorithm for stereo matching process using local based method

    Disparity map algorithm for stereo matching process using local based method by Gan, Melvin Yeou Wei

    Published 2022
    “…Semi global method is the combination of both methods which make this method is more complex. …”
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  18. 18
    Multi-criteria handover decision for heterogeneous networks: carrier aggregation deployment scenario

    Multi-criteria handover decision for heterogeneous networks: carrier aggregation deployment scenario by Ahmed, Maryam Abdulazeez, Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2020
    “…The multicriteria handover decision making algorithm-based method chooses among the cells that satisfy the requirements for the handover. …”
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  19. 19
    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment

    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

    Published 2017
    “…Aggregate production planning (APP) is considered as significant for efficient production systems. …”
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  20. 20
    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN)

    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN) by Mohamad Hushnie, Haron, Nur Azzimah, Zamri, Khairunisa, Muthusamy

    Published 2023
    “…To address these shortcomings, a technique to classify the compressive strength grades for lightweight aggregate concrete containing POFA using a machine learning algorithm has been developed. …”
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