http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5 2026-04-27T11:50:14Z 2026-04-27T11:50:14Z Abid, Dm. Mehedi Hasan Haque, Aminul Hossain, Md. Kamrul http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5895 2021-07-11T13:08:40Z 2020-10-22T00:00:00Z

Factors Causing Stunting Among Under-Five Children in Bangladesh Abid, Dm. Mehedi Hasan; Haque, Aminul; Hossain, Md. Kamrul Malnutrition is one of the major problems in developing countries including Bangladesh. Stunting is a chronic malnutrition, which indicates low height for age and interrupt the growth. The purpose of this research is to find out the factors associated with the malnutrition status and test the accuracy of the algorithms used to identify the factors. Data from Bangladesh Demographic Health Survey (BDHS), 2014, is used. Factors like demographic, socioeconomic, and environmental have differential influence on stunting. Based on analysis, about 36% of under-five children were suffering from stunting. Decision tree algorithm was applied to find the associated factors with stunting. It is found that mothers’ education, birth order number, and economic status were associated with stunting. Support vector machine (SVM) and artificial neural network (ANN) are also applied with the stunting dataset to test the accuracy. The accuracy of decision tree is 74%, SVM is 76%, and ANN is 73%.

2020-10-22T00:00:00Z University, Daffodil International http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/2659 2019-07-03T09:19:06Z 2017-03-25T00:00:00Z

International Summit on Employability and Soft Skills (ISESS2017) University, Daffodil International It is my pleasure that Daffodil International University (DIU) is going to host an international academic event titled “International Summit on Employability and Soft Skills (ISESS2017)” to facilitate more opportunity to our graduates. I love to think that our graduates are our sprit to build our motherland into an incomparable sky height. DIU has redesigned its motto as the employability first. During interviewing a graduate, an employer looks not only for subject knowledge up to the mark, but also communication skills, presentation skills, confidence, spirit to harness their soft skills. For that reason, DIU has introduced presentation in each and every course as an integral part of the course, including some practical involvement.

2017-03-25T00:00:00Z Hossain, Mohamed Emran Bhuiyan, Touhid Mahmud, Imran Arman, Md. Shohel http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/137 2019-05-25T09:04:52Z 2018-01-01T00:00:00Z

Modelling the Knowledge-Sharing Behaviour of Students on Facebook Hossain, Mohamed Emran; Bhuiyan, Touhid; Mahmud, Imran; Arman, Md. Shohel This paper aims to illustrate the relationship between the constructs of social cognitive theory and social exchange theory with regard to the knowledge-sharing behaviour of students on Facebook. This research was conducted on 123 students using self-administrative survey questionnaires. The technique of structural equation modelling was employed to examine the hypothesized relationships between the variables. The findings of this study indicate that affiliation and innovativeness significantly the knowledge-sharing behaviour of students. Overall, perceived reciprocal benefit, perceived enjoyment, knowledge power, and affiliation and outcome expectations are found to be strong predictors of such behaviour. Previous research mostly examined the knowledge sharing attitude or intention in the industry setting. This study has been conducted in the educational setting and particularly focuses on the influence of the educational climate and expectation outcome on the knowledge sharing attitude of students.

2018-01-01T00:00:00Z Hasan, S. M. Kamrul Sarkar, Yugoshree Ahmad, Mohiudding http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/124 2019-05-23T08:29:37Z 2017-10-29T00:00:00Z

Watershed-Matching Algorithm: A New Pathway for Brain Tumor Segmentation Hasan, S. M. Kamrul; Sarkar, Yugoshree; Ahmad, Mohiudding Brain tumor detection through Magnetic Resonance Imaging (MRI) is a very challenging task even in today’s modern medical image processing research. To form images of the soft tissue of the human body, surgeons use MRI analysis. They segment the images manually by partitioning into two distinct regions which is erroneous and at the same time, may be time-consuming. So, it is a must be better the MRI images segmentation. This paper outlines a new finding to detect brain tumor for better accuracy than earlier techniques. We segment the tumor area from the MR image and then to find the area of the segmented region, we use another algorithm to match the segmented part with the input image. In addition, the paper concludes with the status checking of the tumor and provides a necessary diagnosis of brain tumor. Lastly, we compare our proposed model with other techniques and get a far better result.

2017-10-29T00:00:00Z