Data preprocessing

Gestational diabetes prediction in pregnancy: A machine learning and data preprocessing approach
Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, resulting in an elevated blood glucose …
Tanver Hasan Riyed, Tasnia Nabi, Aishwariya Dutta, Md. Kamrul Hasan, Ferdous Wahid Anik, Akid Ornob
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Gestational diabetes prediction in pregnancy: A machine learning and data preprocessing approach
Breast Cancer Classification Using Ensemble of Machine Learning Boosting Algorithms
Breast Cancer (BC) is one of the numerous typical diseases worldwide, occurring in 22.9% of all cancers in women and causing 13.7% of …
Md. Kamrul Hasan, Md. Tasnim Jawad
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Breast Cancer Classification Using Ensemble of Machine Learning Boosting Algorithms
Development of a Smartphone-Based Expert System for COVID-19 Risk Prediction at Early Stage
COVID-19 has imposed many challenges and barriers on traditional healthcare systems due to the high risk of being infected by the …
M. Raihan, Md. Mehedi Hassan, Towhid Hasan, Abdullah Al-Mamun Bulbul, Md. Kamrul Hasan, Md. Shahadat Hossain, Dipa Shuvo Roy, Md. Abdul Awal
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Development of a Smartphone-Based Expert System for COVID-19 Risk Prediction at Early Stage
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods
The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is …
Ovishake Sen, Mohtasim Fuad, Md Nazrul Islam, Jakaria Rabbi, Mehedi Masud, Md Kamrul Hasan, Md Abdul Awal, Awal Ahmed Fime, Md Tahmid Hasan Fuad, Delowar Sikder, Md Akil Raihan Iftee
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Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods
Early Prediction of Diabetes Using an Ensemble of Machine Learning Models
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including …
Aishwariya Dutta, Md Hasan, Mohiuddin Ahmad, Md Awal, Md Islam, Mehedi Masud, Hossam Meshref
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Early Prediction of Diabetes Using an Ensemble of Machine Learning Models
Understanding the nonlinear behavior of EEG with advanced machine learning in artifact elimination
Steady-state Visually Evoked Potential (SSVEP) based Electroencephalogram (EEG) signal is utilized in brain-computer interface …
Md Samiul Haque Sunny, Shifat Hossain, Nashrah Afroze, Md Kamrul Hasan, Eklas Hossain, Mohammad H Rahman
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Understanding the nonlinear behavior of EEG with advanced machine learning in artifact elimination
Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models
Measles is one of the significant public health issues responsible for the high mortality rate around the globe, especially in …
Md. Kamrul Hasan, Md Tasnim Jawad, Aishwariya Dutta, Md Abdul Awal, Md Akhtarul Islam, Mehedi Masud, Jehad F. Al-Amri
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Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to …
Md Rabiul Islam, Mohammad Ali Moni, Md Milon Islam, Md Rashed-Al-Mahfuz, Md Saiful Islam, Md Kamrul Hasan, Md Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, Akm Azad, Salem A. Alyami, Md Atiquar Rahman Ahad, Pietro Lio
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Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI), intending the primary solution scheme for the …
Md Kamrul Hasan, Md Ashraful Alam, Shidhartho Roy, Aishwariya Dutta, Md Tasnim Jawad, Sunanda Das
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Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Diabetes prediction using ensembling of different machine learning classifiers
The risk factors and severity of diabetes can be reduced significantly if a precise early prediction is possible. The robust and …
Md Kamrul Hasan, Md Aahraful Alam, Dola Das, Eklas Hossian, Mahmudul Hasan
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Diabetes prediction using ensembling of different machine learning classifiers