Browsing by Author "Rahman, Md.Tareq"

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    Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures
    (Scopus, 2021) Tasnim, Zarrin; Shamrat, F. M. Javed Mehedi; Islam, Md Saidul; Rahman, Md.Tareq; Aronya, Biraj Saha; Muna, Jannatun Naeem; Billah, Md. Masum
    Abstract: Breast cancer is a malignant tumor that affects women. It is the most prevalent cancer in women, affecting about 10% of all women at any point in their lives. The development of breast cancer begins in the lobules or ducts of the cells. Early detection and prevention are the best ways to stop this cancer from spreading. In this study, five Convolution Neural Network (CNN) models are used to process image data of breast cells. Alex Net, InceptionV3, GoogLeNet, VGG19 and Exception models are used for the classification of Invasive Ductal Carcinoma, IDC and Non-Invasive Ductal Carcinoma (Non-IDC) cells. The models are trained and tested at different epochs to record the learning rate. It is observed from the study that with higher epochs, the data loss decreases and accuracy increases. The accuracy of InceptionV3 and Exception is 92.48% and 90.72% respectively. Likewise, VGG19 and Alex Net have fairly close accuracy of 94.83% and 96.74%. However, GoogLeNet dominates over the other implemented models with the highest accuracy of 97.80%. The GoogLeNet model performs with high accuracy and precision in detecting IDC cells responsible for breast cancer.
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    Development of Schedule Notifying Application for DIU
    (Daffodil International University, 2019) Bappy, Md. Hasan Morshed; Sani, Mokabbir Alam; Rahman, Md.Tareq
    Daffodil International University is a renowned university in Bangladesh. All of the academic activities of this university are being properly maintained in a strict time manner. A predefined semester schedule is available prior to every semester. As the university follows trimester system, the time frame for each activity is very tight and rigid. For this reason, students may have a quiz, presentation or assignment within every two or three days apart from two examinations (Mid Term and Final). The same workloads are also present for the faculty members too. For this reason, sometimes it become very difficult to cope with the schedule. To solve these problems an application can be a solution which can notify us in an efficient way prior to every event.