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  1. 1
    TDMA scheduling analysis of energy consumption for iot wireless sensor network

    TDMA scheduling analysis of energy consumption for iot wireless sensor network by Islam, Md Ashikul

    Published 2019
    “…So, battery power is limited and if so many wastages by the node for unnecessary things then the network life time will reduce and network performance will decrease time to time. Many new algorithms are implemented to reduce nodes energy consumption including Time division Multiplexing algorithm (TDMA) for scheduling to allocate neighbor and reduce signal interference, Distributed Randomize (DRAND) Time Division Multiplexing to do nodes random distribution and allocation. …”
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  2. 2
    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…To achieve an optimum waiting and response time this thesis has proposed a new approach utilizing the aforementioned modelling, optimizing and partitioning algorithms. …”
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  3. 3
    Traffic management algorithms for LEO satellite networks

    Traffic management algorithms for LEO satellite networks by Huyop @ Ayop, Fahrul Hakim

    Published 2016
    “…In dealing with traffic routing problem, two algorithms, Dijkstra's Shortest Path and Genetic Algorithm (GA) are combined together and enhanced to re-strategize a better routing mechanism for a heterogeneous mix of traffic classes ranging from traditional voice calls to multimedia data services in Low Earth Orbit (LEO) satellite networks. …”
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  4. 4
    Robust Kernel Density Function Estimation

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…The accuracy of the proposed new method was compared with the location and scale estimators based on M. …”
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  5. 5
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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  6. 6
    Segmentation of MRI brain images using statistical approaches

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

    Published 2011
    “…Therefore, these algorithms can be improved upon. A neighbourhood-based noise-reduction algorithm which uses the edges of an image is proposed. …”
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  7. 7
    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems

    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems by Homayouni, Seyed Mahdi

    Published 2008
    “…GDF and GSF controllers are evaluated for two test cases namely “two-part-type production line” and “re-entrant production system”. …”
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  8. 8
    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution

    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution by Jedol Dayou, Ng, Chee Han, Ho, Chong Mun, Abdul Hamid Ahmad, Mohd Noh Dalimin, Sithi V. Muniandy

    Published 2011
    “…Since the bioacoustics species identification system that proposed in this study is based on entropy approach, the computer algorithms is much easier (less complex) compared to the conventional methods, particularly based on spectrogram and sonogram. …”
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  9. 9
    Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4

    Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4 by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Liyana, Tajul, Mohd Sabri, Hussin, Zailani, Zainal Abidin, Hasnul, Hadi

    Published 2013
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  10. 10
    Disparity Refinement Process Based On Ransac Plane Fitting For Machine Vision Applications

    Disparity Refinement Process Based On Ransac Plane Fitting For Machine Vision Applications by Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan, Abd Gani, Shamsul Fakhar, Hamid, Mohd Saad, Salam, Saifullah

    Published 2017
    “…This paper presents a new disparity map refinement process for stereo matching algorithm and the refinement stage that will be implemented by partitioning the place or mask image and re-projected to the preliminary disparity images. …”
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  11. 11
    Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof

    Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof by Mohd Yusof, Nor Azeala

    Published 2021
    “…Randomness test is one of the measurement techniques which have been taken into consideration in the evaluation of the minimum security requirement of the block cipher algorithm. …”
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  12. 12
    State-Aware re-configuration model for multi-radio wireless Mesh Networks

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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  13. 13
    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau

    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau by Tan , Chee Hau

    Published 2020
    “…FLP’s research can be divided into the procedural approach, algorithmic approach, Virtual Reality (VR) and AR-based approaches. …”
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  14. 14
    Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization

    Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

    Published 2025
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  15. 15
    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop

    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop by Md Amin Hamzas, Mohd Fidzwan, Ahmad Bareduan, Salleh, Hussin, M.S., Hasnul, M.J.

    Published 2012
    “…The main objective of this project is to evaluate the performance of M3 bottleneck-based heuristic for M1M2M3 flow shop problems. …”
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  16. 16
    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop

    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Mohd Sabri, Hussin, M. J., Hasnul, Asmawi, Sanuddin, Zailani, Zainal Abidin

    Published 2013
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  17. 17
    U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique

    U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique by Zubair, M., Md Rais, H.B., Al-Tashi, Q.

    Published 2023
    “…The proposed algorithm has been evaluated on the KiTS19 Low-Dose CT Grand Challenge dataset and compared with other models such as Q-AE, Msaru-Net, and CT-ReCNN. …”
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  18. 18
    U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique

    U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique by Zubair, M., Md Rais, H.B., Al-Tashi, Q.

    Published 2023
    “…The proposed algorithm has been evaluated on the KiTS19 Low-Dose CT Grand Challenge dataset and compared with other models such as Q-AE, Msaru-Net, and CT-ReCNN. …”
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  19. 19
    Adaptive energy efficient circular spinning protocol for dynamic cluster based UWSNs

    Adaptive energy efficient circular spinning protocol for dynamic cluster based UWSNs by Huma Hasan Rizvi, Sadiq Ali Khan, Rabia Noor Enam, Muhammad Naseem, Kashif Nisar, Danda B. Rawat

    Published 2022
    “…Since these network energy consumptions are not part of data communication, we consider it extra energy consumption. In this paper, a new Energy Efficient Circular Spinning (EECS) dynamic clustering algorithm has been proposed to provide an improved cluster setup system and to minimize energy usage in re-clustering or cluster setup. …”
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  20. 20
    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari

    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

    Published 2015
    “…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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