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    Browsing by Author "n 2015231408"

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        Mental distress and its associations with behavioral outcomes during the COVID-19 pandemic: a national survey of Chinese adults 

        L., Ma; Gao, L.W.; Lau, J.T-f.; Rahman, A.; Johnson, B.T.; ... more authors ( Elsevier , 2021 , Article)
        ObjectivesThis study aimed to evaluate associations between mental distress and COVID-19-related changes in behavioral outcomes and potential modifiers (age, gender, educational attainment) of such associations. Study ...
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        Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms 

        Rahman A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Zaman K.S.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
        Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ...
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        Optimal sizing and assessment of a renewable rich standalone hybrid microgrid considering conventional dispatch methodologies 

        Ishraque, M. F.; Shezan, S. A.; Rana, M. S.; Muyeen, S. M.; Rahman, A.; ... more authors ( MDPI , 2021 , Article)
        This paper presents an evaluation of the optimized design of an off-grid hybrid microgrid for alternative load dispatch algorithms with the determination of the most optimal sizing of each equipment, analyzing the voltage ...
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        Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs 

        Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; ... more authors ( Elsevier Ltd , 2022 , Article)
        Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ...
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        Terminal settling velocity of a single sphere in drilling fluid 

        Rushd, S.; Hassan, I.; Sultan, R.A.; Kelessidis, V.C.; Rahman, A.; ... more authors ( Taylor and Francis Inc. , 2019 , Article)
        The accurate prediction of terminal settling velocity of solid spheres in non-Newtonian liquids is important for various fluid-particle systems such as slurry pipelines, separation processes, hole-cleaning in drilling ...

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