DeepACTION: A deep learning-based method for predicting novel drug-target interactions von Hasan Mahmud, S.M., Chen, Wenyu, Jahan, Hosney, Dai, Bo, Din, Salah Ud, Dzisoo, Anthony Mackitz

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Face Anti-Spoofing Using Texture-Based Techniques and Filtering Methods von Hasan, Md Rezwan, Hasan Mahmud, S M, Li, Xiang Yu

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Impacts of COVID-19-Related Non-Pharmaceutical Interventions on Mobility and Accidents in Bangladesh von Enam, Annesha, Rahman, Sheikh Mokhlesur, Mahmud, S. M. Sohel, Wadud, Zia

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Safe adaptive output‐feedback optimal control of a class of linear systems von Mahmud, S M Nahid, Abudia, Moad, Nivison, Scott A., Bell, Zachary I., Kamalapurkar, Rushikesh

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Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features von Mahmud, S. M. Hasan, Goh, Kah Ong Michael, Hosen, Md. Faruk, Nandi, Dip, Shoombuatong, Watshara

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Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients von Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Al-Zahrani, Fahad Ahmed, Mahmud, S M Hasan, Moni, Mohammad Ali

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A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data von Awal, Md. Abdul, Masud, Mehedi, Hossain, Md. Shahadat, Bulbul, Abdullah Al-Mamun, Mahmud, S. M. Hasan, Bairagi, Anupam Kumar

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Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle von Elahe, Md Fazla, Kabir, Md Alamgir, Mahmud, S. M. Hasan, Azim, Riasat

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Overtaking risk modeling in two-lane two-way highway with heterogeneous traffic environment of a low-income country using naturalistic driving dataset von Mahmud, S.M. Sohel, Ferreira, Luis, Hoque, Md. Shamsul, Tavassoli, Ahmad

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Integrated Genomics Identifies Convergence of Ankylosing Spondylitis with Global Immune Mediated Disease Pathways von Uddin, Mohammed, Codner, Dianne, Mahmud Hasan, S M, Scherer, Stephen W, O’Rielly, Darren D, Rahman, Proton

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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins von Hosen, Md. Faruk, Mahmud, S.M. Hasan, Ahmed, Kawsar, Chen, Wenyu, Moni, Mohammad Ali, Deng, Hong-Wen, Shoombuatong, Watshara, Hasan, Md Mehedi

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Micro-level safety risk assessment model for a two-lane heterogeneous traffic environment in a developing country: A comparative crash probability modeling approach von Mahmud, S.M. Sohel, Ferreira, Luis, Hoque, Md. Shamsul, Tavassoli, Ahmad

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iDTi-CSsmoteB: Identification of Drug-Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE von Mahmud, S. M. Hasan, Chen, Wenyu, Jahan, Hosney, Liu, Yongsheng, Sujan, Nasir Islam, Ahmed, Saeed

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Emergency department and ‘Google flu trends’ data as syndromic surveillance indicators for seasonal influenza von THOMPSON, L. H., MALIK, M. T., GUMEL, A., STROME, T., MAHMUD, S. M.

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Linear Longitudinal Strength Analysis of a Multipurpose Cargo Ship under Combined Bending and Torsional Load von Abedin, Joynal, Franklin, Francis, Mahmud, S. M. Ikhtiar

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A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm von Abedin, Joynal, Franklin, Francis, Mahmud, S. M. Ikhtiar

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An Uninformed Decision-Making Process for Cesarean Section: A Qualitative Exploratory Study among the Slum Residents of Dhaka City, Bangladesh von Sultana, Jesmin, Sutradhar, Ipsita, Rahman, Musarrat Jabeen, Khan, Abdullah Nurus Salam, Chowdhury, Mohiuddin Ahsanul Kabir, Hasib, Enam, Chhetri, Charu, Mahmud, S M Hasan, Kashem, Tahsin, Kumar, Sanjeev, Myint, Zaw Toe, Rahman, Mahbubur, Huda, Tarique Md Nurul, Arifeen, Shams El, Billah, Sk Masum

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Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties von Mahmud, S M Nahid, Nivison, Scott A, Bell, Zachary I, Kamalapurkar, Rushikesh

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Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics von Mobin, Md. Iftekharul, Suaib Akhter, A. F. M., Mridha, M. F., Hasan Mahmud, S. M., Aung, Zeyar

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Recent development of machine learning-based methods for the prediction of defensin family and subfamily von Charoenkwan, Phasit, Schaduangrat, Nalini, Mahmud, S M Hasan, Thinnukool, Orawit, Shoombuatong, Watshara

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