Browsing by Author "Sultana, Tasnim"

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Customizing SAP: an internship journey in SAP development and customization of SAP ABAP and HCM module at Eitekh ERP Limited
(BRAC University, 2025-01) Sultana, Tasnim; Haider, Istiaq
Enterprise resource planning systems are progressing rapidly which changes how businesses handle their operations including Human Capital Management processes. As the world’s top ERP provider SAP helps organizations run their human capital functions by providing complete solutions to enhance recruitment processes and employee life cycles through SuccessFactors and HCM modules. Businesses now need technical experts who combine ABAP programming and XML configuration skills with functional knowledge to properly customize ERP systems according to organizational needs. This internship account demonstrates how to develop and put into practice SAP’s Human Capital Management toolpair. The research tested whether combining SuccessFactors RCM and Onboarding could make hiring happen quicker. Finally,My research demonstrates what businesses gain when they work through SAP modification hurdles. Using ABAP to develop a whole solution brings better HR and talent management. The research demonstrates effective talent management implementation across multiple business types.
Efficient image processing and machine learning approach for predicting retinal diseases
(BRAC University, 2020-04) Hasib, Mehadi Hasan; Sultana, Tasnim; Chowdhury, Chandrika; Alam, Md. Ashraful
As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector and started getting used in classify diseases. Lots of research are currently going on to predict retinal diseases using deep learning algorithms. However, very small amount of research have been conducted on predicting choroidal neovascularization (CNV), Diabetic Macular Edema (DME) and DRUSEN. In this paper, we have classified OCT images into 4 categories (CNV, DME, DRUSEN and natural retina) by using two deep learning algorithm (convolutional neural network and artificial neural network). Before passing the images into the neural network, we have performed a number of preprocessing methods on the images. Furthermore, we have implemented different model for each algorithms. Each model has varying numbers of hidden layer attached to it. After completing our research we have found out that, convolutional neural network with four hidden layers ou
Exploring the Influence of grandparents' role in Bangladeshi context to develop the well-being of children (0-6 years): a perception study on parents
(BRAC University, 2024-05) Sultana, Tasnim; Imran, Mostak Ahamed
A child's well-being is enhanced when grandparents significantly influence their upbringing. A growing number of dual-worker households, longer life expectancies, shifting family dynamics, and rising rates of family dissolution have resulted in grandparents taking on a more significant role in their grandchildren's lives. Many, though, are not. Many grandparents are denied the opportunity to interact or spend time with their grandchildren. Numerous studies and corroborating data demonstrate the different benefits of having solid parent-child ties. The beneficial effects that a close relationship between a grandmother and grandchild may have on the contentment and wellness of the entire family, however, are sometimes overlooked. To put it plainly, everyone benefits from having grandparents around. Both parties benefit when a grandchild and his or her grandmother have a positive relationship (T.M Jorden, 2021). The study examined how grandparents' roles impact the well-being of children aged 0-6, based on parents' perceptions. This qualitative research involved twelve parents who were interviewed in-depth to gather information. The study's findings indicated that grandparents significantly contribute to children's well-being, allowing middle-class working parents in Bangladesh to be at ease while working outside, knowing that their kids are well taken care of. The study also offers recommendations based on its findings and discussions. It concludes by suggesting potential areas for further research and stressing the importance of additional in-depth and exploratory studies in this field.