Browsing by Author "Islam, Moinul"

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Analysis of Consumption and Costing of Trims and Accessories for Woven and Knitted Garments
(Daffodil International University, 2020) Raihan, Ashique; Kabir, G M Ahasan; Islam, Moinul
Trims and accessories are the most valuable component for textile garments section. Trimming and accessories both are most important for make the garments. We used many types of trims and accessories for making a shirt, t-shirt, pat, jacket and trouser in garments industry. Apart from the main fabric garments making include other elements such as trims, thread, button, zipper, elastic, etc. Their quantity and quality impact the cost of the garments. The size, shape, and material used in trims such as zipper, button, and label also sums up the cost of construction a garments Trims and accessories are increasing the quality of a garment. Some buyers are selected / required specific accessories for the garments. Accessories and trims are dominance the garments cost. So it’s an important point for making garments cost. Merchandisers are analysis the cost of trims and accessories. If we used high expensive accessories and trims then product cost will be high. Those elements are impact the manufacturing cost of high or low. Trims and accessories can easily increase or decrease the product cost. So those are the most important part of manufacturing a garment.
Biochemical basis of a hypoglycemic syndrome with high mortality
(1984-10) Akbar, M.S.; Alam, A.N.; Zulfiquar, Dr.; Samsuzzoha, Dr.; Khan, Waker; Rahman, M.M.; Huq, Sayeedul; Islam, Moinul; Ahmed, Tofayel; Rubbi, S.F.; Greenough III, W.B.
Detection of brain tumor using several convolutional neural network architectures
(BRAC University, 2020-10) Salehin, Abrar; Ahmad, Md. Sizer; Islam, Moinul; Parvez, Mohammad Zavid; Reza, Md Tanzim
The word "brain tumor" defines the unusual expansion of the cells in the brain. Among other tumors, brain tumors are possibly one of the most alarming and lifethreatening. So, detection of brain tumor in early stage is much needed because many individuals died as they were unaware of getting a tumor in the brain. For this purpose, di erent machine learning algorithms and image processing techniques are used for the early detection of brain tumor. The aim of this study is to detect brain tumor by observing di erent areas of brain and tumorous grow of brain tissues with the help of functional magnetic resonance imaging (fMRI) data. Our main goal is to determine whether the tumor is present in patient's brain or not. After data collection, we have pre-processed the data where di erent steps like image extraction, data segmentation were performed. We have used CNN architectures for the classi cation of brain tumor. For this purpose, di erent pre-trained CNN model VGG16, VGG19, Inception V3, ResNet50, DenseNet121 and Xception have implemented. Among those models we have identi ed 3 models (Inception V3, DenseNet121, VGG19) which gave higher accuracy compared to other models and selected them for further work. Rather than taking one model as most accurate we have used ensemble method in our study which produced better predictive solution in terms of brain tumor detection.
Nilam.com
(Daffodil International University, 2019-12-07) Islam, Moinul; Hossain, Kazi Towkir
Our Project titled “Nilam.com”. In our project, we will discuss the main theme of our project. In our country, there are a lot of e-commerce sites but there is no such e-commerce site that is related to the auction system. So, our target is to build a whole new different marketplace in our country. Day by day online shopping is getting more popular in our country. It is an easier way of shopping. You do not need to waste your time to go to shopping malls. You can simply visit the e-commerce sites from your home, office or wherever you are and choose your preferred product, order it and they will send it to you. Even there are also a lot of social media-based buy and sell groups or pages which are very popular too. But in these platforms the users most of the times faces so many problems. And they are not getting any permanent solution even if they complain about it. So keeping all those problems in mind we wanted to create a whole new different market place where the users will find a more reliable source for online shopping and by introducing such a new system in the market we can provide unemployed people with business opportunities.