Repository at International Islamic University ChittagongThe IIUC digital repository system captures, stores, indexes, preserves, and distributes digital research material.http://dspace.iiuc.ac.bd:8080/xmlui2024-03-28T03:04:52Z2024-03-28T03:04:52Z5th Convocation of IIUC 2022http://dspace.iiuc.ac.bd:8080/xmlui/handle/123456789/40682022-10-27T08:46:21Z2022-09-11T00:00:00Z5th Convocation of IIUC 2022
2022-09-11T00:00:00ZBook Valley [An Online Web-Based Book Publication & Selling System]Chowdhury, Md. Hayat HossainHoque, Md. SohidulNadimhttp://dspace.iiuc.ac.bd:8080/xmlui/handle/123456789/81402024-03-27T09:59:16Z2022-07-01T00:00:00ZBook Valley [An Online Web-Based Book Publication & Selling System]
Chowdhury, Md. Hayat Hossain; Hoque, Md. Sohidul; Nadim
Nowadays most of the work, entertainment facilities, and education is done by digital tools. Now we are living in a digital world where time is so valuable, that people want to lead hassle-free life. For a hassle-free centralized Online Bookselling flat form (Book Valley) for bookworm people and businessmen. This system gathers readers, writers, and publishers in one flat form. Readers can find a huge amount of books from anywhere on the earth and carry all the books with them all the time wherever they are. The E-book system is a blessing for book reader because it saves their time, carrying hassle, and storage costs. A writer can contact and send their creation to any publication over the world. Mostly new writers can easily reach the publisher for their desired publication. Book Valley provides e-books for readers for that reason the cost of publication will decrease and publishers can easily publish their books and sell them in online stores. By utilizing Book Valley’s features as a centralized system we can get a hassle-free book ecosystem where readers, writers, and publishers will benefit equally.
This Dissertation is Submitted in Fulfillment of the Requirements for the Degree of
Bachelor of Science (B.Sc.)
in
Computer Science and Engineering (CSE)
2022-07-01T00:00:00ZQUIZ CRAFTERS - A Web-based Quiz PlatformImon, Rakibul HasanTazwer, Syed FahimRahman, Koushik Jamilurhttp://dspace.iiuc.ac.bd:8080/xmlui/handle/123456789/81392024-03-27T09:39:37Z2022-07-01T00:00:00ZQUIZ CRAFTERS - A Web-based Quiz Platform
Imon, Rakibul Hasan; Tazwer, Syed Fahim; Rahman, Koushik Jamilur
Amid the diverse array of quiz platforms, a pressing need for a universally accessible and free alternative has become increasingly evident, as prevailing solutions often come burdened with financial constraints. In response to this challenge, Quiz Crafters, our visionary project, endeavors to democratize educational technology by furnishing educators with a cost- effective and feature-rich alternative. Motivated by the limitations experienced with paid platforms like Socrative and driven by a passion to elevate user experience, our platform pledges user-friendliness, real-time engagement, data-driven insights, and customizability— all without imposing financial burdens on educators. In a landscape where the demand for accessible and budget-friendly interactive assessment tools in education is on the rise, Quiz Crafters emerges as a liberating alternative to existing platforms. Acknowledging the restrictions inherent in paid services, particularly exemplified by platforms like Socrative, our mission is to democratize educational technology. In commitment to removing barriers, our quiz taking website is meticulously crafted to cater to the diverse needs of educators, seamlessly accommodating both intimate classroom settings and expansive lecture halls. Through a dedicated emphasis on inclusivity and innovation, Quiz Crafters aspires to redefine the very landscape of interactive educational assessment. Our aim is to provide a transformative and easily accessible tool, not only for educators but for students as well. This project is a testament to our unwavering dedication to innovation, inclusivity, and the continuous advancement of interactive educational assessment tools.
This Dissertation is Submitted in Fulfillmentof the
Requirements for the Degree of
Bachelor of Science (B.Sc.)
in
Computer Science and Engineering (CSE) Spring-2022
2022-07-01T00:00:00ZBrain Tumor Classification using Semi Supervised Self-Training AlgorithmIslam, Mohammad NafizulAli, Mohammed MushfiqAbrar, Md Shafiulhttp://dspace.iiuc.ac.bd:8080/xmlui/handle/123456789/81382024-03-27T09:11:29Z2022-12-01T00:00:00ZBrain Tumor Classification using Semi Supervised Self-Training Algorithm
Islam, Mohammad Nafizul; Ali, Mohammed Mushfiq; Abrar, Md Shafiul
Brain tumors have been considered the world’s most dangerous medical condition. Worldwide, approximately 0.25 million people die every year due to CNS tumors and primary cancerous brains. The existing method is obtrusive, tedious, and sensitive to errors by individuals. To overcome the pitfalls mentioned above for brain tumor multi class classification, an approach named confidence regularized self training for brain tumor classification (CRST-BTC) has been proposed for the early detection of brain tumors in an efficient way. For the purpose of early diagnosis, this research introduces a novel approach to enhance the accuracy of brain tumor classification using confidence regularization self-training. The study systematically investigates the impact of varying percentages of unlabeled data and explores different backbone networks, with VGG16 emerging as the standout performer. Additional improvements, including integrating a dense layer and optimization algorithms such as Adam, contribute to superior clas sification accuracy. Surprisingly, the model performs better with 20% labeled data, challenging conventional expectations. The research leverages the SHAP framework for visualization, providing insights into feature importance. Benchmarking against state of-the-art models showcases the competitive edge of the proposed methodology. The VGG16 backbone with the Adam optimizer stands out, achieving 97% accuracy, 98.67% precision, 97.45% recall, and 98.01% F1-score. This study advances the field and pro vides valuable insights for practitioners in medical image analysis
This Dissertation is Submitted in Fulfillment
of the Requirements for the Degree of
Bachelor of Science (B.Sc.)
in
Computer Science and Engineering (CSE) Autumn-2022
2022-12-01T00:00:00Z