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  1. 1
    Analysing TCP traffic congestion algorithms for wired links based on NS3

    Analysing TCP traffic congestion algorithms for wired links based on NS3 by Zhou, Weichen, Mohd Aman, Azana Hafizah, Attarbashi, Zainab, Azamuddin, Wan Muhammad Hazwan, Khaleel, Aymen Dheyaa

    Published 2024
    “…While our findings demonstrate major differences between the examined algorithms.…”
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification

    A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

    Published 2024
    “…The combined EBGWO-Catboost algorithm model is structured into four distinct steps. …”
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  4. 4
    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms

    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms by Bouzateur, Inas, Ouali, Mohammed Assam, Bennacer, Hamza, Ladjal, Mohamed, Khmaissia, Fadoua, Rahman, Mohd Amiruddin Abd, Boukortt, Abdelkader

    Published 2023
    “…In the first part, the study assessed, the effectiveness of various metaheuristic algorithms (PSO-IWO-ICA) in tuning the parameters of the ANN prediction structure in order to get the optimal parameter of the ANN. …”
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  5. 5
    Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection

    Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection by Norfadzlan, Yusup, Izzatul Nabila, Sarbini, Dayang Nurfatimah, Awang Iskandar, Azlan, Mohd Zain, Didik Dwi, Prasetya

    Published 2026
    “…BPSO algorithm emerges as an adaptable and well-rounded performer, achieving a competitive balance between feature selection quality and computational efficiency in SBHAR dataset. …”
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  6. 6
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  7. 7
    Quantum anharmonic potentials with operator and factorization methods

    Quantum anharmonic potentials with operator and factorization methods by Tan, Min Yang

    Published 2023
    “…This parameter space is the space of all possible parameter values depending on the depth of Morse potential well and other molecular constants. …”
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  8. 8
    Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition

    Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition by Wong, Yan Chiew, Mohamad Noor, Nor Amalia Dayana, Mohd Noh, Zarina, Sarban Singh, Ranjit Singh

    Published 2024
    “…These results demonstrate the competency of the system in distinguishing between distinct ECG classes, particularly in identifying normal and abnormal cardiac rhythms through ECG classification.…”
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  9. 9
    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan

    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

    Published 2018
    “…DFIS predicts missing values through association between parameters, yet makes no distinction between the different associations. …”
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  10. 10
    Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks

    Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks by Raja Bongsu, Raja Hasyifah

    Published 2023
    “…Striking the right balance between coverage, capacity, and interference management requires scalable load-balancing algorithms. …”
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  11. 11
    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network script and neural network error checking measures. …”
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  12. 12
    Evaluation of time-domain features for motor imagery movements using FCM and SVM

    Evaluation of time-domain features for motor imagery movements using FCM and SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Hamedi , Mahyar

    Published 2012
    “…Feature extraction is to highlight the properties of signal that make it distinct from the signal of the other mental tasks. …”
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  13. 13
    ISAR imaging using circularly polarized antennas in an anechoic chamber

    ISAR imaging using circularly polarized antennas in an anechoic chamber by Baharuddin M.Z.B., Izumi Y., Sumantyo J.T.S., Demirci S.

    Published 2023
    Conference Paper
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  14. 14
    Effect of graphene oxide as a nanomaterial on the bond behaviour of engineered cementitious composites by applying RSM modelling and optimization

    Effect of graphene oxide as a nanomaterial on the bond behaviour of engineered cementitious composites by applying RSM modelling and optimization by Bheel, N., Mohammed, B.S., Ali, M.O.A., Shafiq, N., Radu, D.

    Published 2023
    “…The response surface methodology (RSM) is employed for developing predictive algorithms, which are then utilised in performing multi-variate optimization on bond-slip parameters, including bond strength, bond slip and bond energy. …”
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  15. 15
    Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage

    Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage by Kumo, Mohammed Saidu

    Published 2017
    “…Detrended DC-Link voltage responds to each nonislanding event distinctively. To sum it up, DC-Link voltage is viable for being a parameter for passive islanding detection as it is very fast in detecting islanding, discriminative from non-islanding faults and has almost zero NDZ. …”
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  16. 16
    A study of the heat transfer in hydrogen fueled internal combustion engine

    A study of the heat transfer in hydrogen fueled internal combustion engine by Khalaf Ibrahim, Hamada

    Published 2012
    “…It was observed that there is a crucial distinction between the lean and ultra-lean mixture as well as the engine speed. …”
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  17. 17
    Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar

    Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar by Anuwar, Fahteem Hamamy

    Published 2012
    “…Cross validation is used to find the best parameters related to kernels used followed by training and testing of the data sets. …”
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  18. 18
    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat

    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat by Noorhidayah, Mamat

    Published 2013
    “…Opposite to suborder Zygoptera, they were resolved clustered into 2 clusters, paraphyletic group. The distinct separation between cluster Anisoptera and Zygoptera with confidence level 72% in the NJ analyses while 90% in MP analyses. …”
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  19. 19
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…The partitioning allows allocation of appropriate DVC coding parameters (virtual channel, rate, and quantizer) to each region. …”
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  20. 20
    Optical characterisation and classification of water types in the southern South China Sea and Straits of Malacca

    Optical characterisation and classification of water types in the southern South China Sea and Straits of Malacca by Md Suffian Idris, Madihah Jafar Sidik, Lee, Siang Hing

    Published 2021
    “…The EOF analyses clearly revealed two dominant modes of optical variability, with each mode corresponding to the optical conditions of SSCS and SoM, respectively. The correlation between EOF amplitude factors and optical parameters indicated that the Rrs variability in SoM was primarily driven by the particulate backscattering and secondarily by light-absorbing components, while it was only minimally influenced by the absorption coefficients in SSCS. …”
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