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    Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria by Ismail, Abdussalaam Iyanda, Abdul Majid, Abdul Halim, Jibrin Bida, Mohammed, Joarder, Mohd Hasanur Raihan

    Published 2019
    “…Given that management support and decisions do influence all the aspects of organization, this study investigates moderating effect of management support on the relationship between recruitment and selection, training and development, compensation, performance appraisal and succession planning and employee performance. …”
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  2. 2

    Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

    Published 2016
    “…The findings also indicated that religiosity does not have a significant moderation effect on transactional leadership style. …”
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    Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics by Bida, Mohammed Jibrin

    Published 2018
    “…Thus, this study investigated the effect of HR practices involving recruitment and selection, training and development, compensation, performance appraisal, and succession planning on employee performance with management support as a moderator. …”
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    Moderating effects of government support on the relationship between organizational innovativeness, culture and sustainable construction among Malaysian contractors by Bamgbade, Jibril Adewale

    Published 2016
    “…Similarly, the result regarding the moderating effect of government support on the relationship between organizational culture and sustainable construction was supported. …”
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    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
    “…Although the PSO-Fuzzy model has the best performance of all the compared models, the developed PSO-ANN based model possesses the advantage of easy implementation in addition to its moderate performance.…”
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  7. 7

    What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

    Published 2024
    “…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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  8. 8

    Validation of combine white noise using simulated data by Agboluaje, Ayodele Abraham, Ismail, Suzilah, Chee, Yin Yip

    Published 2016
    “…Recent studies reveal that the data that exhibits heteroscedasticity are modelled by Exponential Generalized Autoregressive Conditional Heteroscedastic (EGARCH).Nevertheless, EGARCH model estimation is not efficient when the heteroscedasticity data have leverage effect.In this study, an algorithm is developed which is called Combine White Noise (CWN).The standardized residuals of EGARCH errors (heteroscedastic variance) are decomposed into equal variances (white noise series). …”
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  9. 9

    Measuring the effects of strategic capability, entrepreneurial orientation, servant leadership, and assistive technology on success of visually impaired leaders by Harziah, Khalid Yunus

    Published 2021
    “…Additionally, this study also examined the moderating effect of assistive technology on the relationship between strategic capability, entrepreneurial orientation, servant leadership and success of visually impaired leaders. …”
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    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

    Published 2020
    “…For the classification part, there are six algorithms used to classify the intra-severity of dysarthric speakers. …”
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  13. 13

    Dynamic scheduling in a multi-product manufacturing system by Hassan, Adnan, Mohd. Shaharoun, Awaluddin, Oktaviandri, Muchamad

    Published 2005
    “…The dynamics of real manufacturing system are very complex in nature. Schedules developed based on deterministic algorithms are unable to effectively deal with uncertainties in demand and capacity. …”
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    Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications by Shayea G.G., Zabil M.H.M., Albahri A.S., Joudar S.S., Hamid R.A., Albahri O.S., Alamoodi A.H., Zahid I.A., Sharaf I.M.

    Published 2025
    “…Our findings highlight the effectiveness of PCA algorithms, yielding 12 principal components with acceptable variance. …”
    Article
  16. 16

    Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

    Published 2020
    “…Originality/value: This study is the first attempt at evaluating the direct and moderating effect relationships among individual factor affecting risk attitudes, government policy and CRA in Malaysian construction companies. …”
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  17. 17

    Channel Modelling and Estimation in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Communication Systems by Hezam, Mohammed Abdo Saeed

    Published 2008
    “…Simulation results have shown that TD adaptive channel estimation and tracking in MIMO OFDM systems is very effective in slow to moderate time-varying fading channels. …”
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    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

    Published 2015
    “…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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    Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios by Marlindawati, ., Mohammad, Azhar, Esha, Sabir

    Published 2026
    “…Mitigation strategies such as regularization and resampling reduced degradation by 5–12% under moderate perturbations but showed limited effectiveness under extreme conditions. …”
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  20. 20

    Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate by Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran

    Published 2025
    “…Machine Learning (ML) and Artificial Intelligence (AI) are closely intertwined and represent the latest cutting-edge technologies that facilitate the development of intelligent prototypes. Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that use previous databases and analysis for result predictions. …”
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