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Developing a Framework for Determining Student Excellence and Recommending a Field of Study
Md. Osman Goni,Mohammad Shamsul Arefin,Md. Monirul Islam 한국산학기술학회 2015 SmartCR Vol.5 No.6
A recommendation system is a software tool that helps in decision making. A recommendation system can save time and effort for users and can guide them in the proper direction to make the right decision. Most students in developing and underdeveloped countries choose their field of study blindly, without considering their skillfulness. The selection of their subjects is often influenced their parents, friends or different socio-economic factors. This creates a huge problem for the students during their academic studies, and in many cases, they cannot do well in their chosen field. Considering this fact, in this paper, we provide a framework for identifying student excellence and for recommending the most suitable field of study for them. We perform different experiments to show the effectiveness of our system. From the experimental results, we found that our system can guide students in efficiently selecting their field of study.
A Statistical Framework for Detecting Diabetes Types
Linkon Chowdhury,Mohammad Shamsul Arefin 한국산학기술학회 2015 SmartCR Vol.5 No.2
Diabetes is a condition defined by the level of hyperglycemia that increases the risk of micro vascular damage. A diabetic patient faces many difficulties such as a reduction in life expectancy, increase in the risk of macro vascular complications, and lower quality of life. The main purpose of this research is to develop a computational system to identify types of diabetes. A Multi Selection Criteria Evaluation technique is used to identify the level of diabetes. In this work, we consider ten common symptoms, which are the causes of metabolic disorder in diabetic patients. We also consider tests that are referred to by doctors for diagnosis of diabetes mellitus. Then, we perform necessary computations to identify the type of diabetes (Type-I or Type-II) by using a K-Nearest Neighbor algorithm, and suggest effective drugs for different types of diabetes. We perform several experiments to show the effectiveness of our framework.
Genetic diversity analysis of high yielding rice (Oryza sativa) varieties cultivated in Bangladesh
Isma Akter Epe,Shahidul Haque Bir,Abul Kashem Choudhury,Asma Khatun,Most Mohshina Aktar,Shamsul Arefin,Mohammed Aminul Islam,Kee Woong Park 충남대학교 농업과학연구소 2021 Korean Journal of Agricultural Science Vol.48 No.2