http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5549 2026-04-05T17:28:55Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15666 Serene (Mental Health Solution System) Joy, Muhibur Rahman In the vast online world, "Serene" is a website designed to make mental health easy to understand and access. It's a friendly digital place offering lots of help for anyone dealing with mental health issues. The goal is to help you feel better and less alone, no matter where you are in the world. This website is like a comforting friend, sharing useful stuff to read and watch about mental health. It's not about big words or complicated ideas; it's here to make things simple and clear. The idea is to help you feel good about yourself and get through tough times. You can join a friendly community where people share their stories and support each other. It's like a global team cheering you on, no matter what you're going through. We've asked smart and kind experts to share their thoughts about mental health, so you get helpful advice. And just in case things get really tough, there's a quick way to find someone to talk to. "Serene" is more than just a website; it's a digital friend here to help you with the global challenge of mental health. Let's make this journey together, creating a kinder and happier world for everyone. Thesis 2024-01-23T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15665 Iums Admission Service Islam, Habiba As a cutting-edge and all-inclusive web-based platform, IUMS ADMISSION SERVICE is ready to completely transform the way that educational institutions handle admissions. Numerous features are integrated into this advanced technology to optimize the admissions process. With the help of the Admission Circular Management module, educational institutions may produce and distribute comprehensive circulars that educate potential applicants of approaching deadlines and important dates. By giving institutions the ability to specify and control the prerequisites for admission to various courses, the Admission Requirement Tracking component increases transparency. The Admission Subject Configuration and Admission Center Setup modules highlight the system's customization capabilities, which enable educational institutions to customize the platform to meet their unique academic requirements and operational requirements. With the help of the seamless integration of the Fee Management system, administrators may effectively track, invoice, and reconcile entrance fees. Administrators may monitor applications in real-time while also improving the applicant experience with the user-friendly Application Process and strong Application Tracking features. IUMS ADMISSION SERVICE promises to redefine the efficacy and efficiency of admission management for educational institutions, ultimately fostering a more approachable and structured approach to student enrollment. It does this by transforming the admissions process into a streamlined, transparent, and user-centric experience Thesis 2024-01-23T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15576 Dengue Prediction in Bangladesh Using Machine Learning Bristy, Nishat Anjum Dengue fever continues to be a health issue, in Bangladesh causing harm and even deaths during frequent outbreaks. This study employs machine learning techniques to forecast dengue outbreaks by analyzing data from 820 cases across hospitals in Bangladesh. By using algorithms like Logistic Regression, Random Forest, Gradient Boosting, Support Vector Machine, K Nearest Neighbors and XGBoost the study aims to determine the method for prediction. The findings reveal that logistic regression outperformed algorithms in terms of accuracy. To improve the models performance various data preprocessing techniques were employed such as LabelEncoder for encoding labels ADASYN oversampling technique for handling data filling values with median and mode values StandardScaler for scaling data and outlier capping to handle extreme values. The insights gained from this research could play a role in enhancing public health strategies aimed at controlling and preventing dengue fever, in Bangladesh. Thesis 2024-09-23T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14257 Design of Photonic Crystal Fiber based on 76+36 OAM modes for Fiber Communication Ansary, Khalequzzaman This study introduces a innovative multi-layered photonic crystal fiber (PCF) featuring a pair of distinct and independent directed mode regions, collectively supporting a total of 112 orbital angular momentum (OAM) modes, comprising 76 + 36 modes. The designed nested PCF is characterized by a prominent primary channel, incorporating a pair of ring areas with high refractiveindex composed of Borosilicate glass (SF6), surrounded by a cladding with fused silica as the background material. The findings indicate wherein the suggested PCF exhibits a adequately substantial effective refractive index difference (ERID), along with a consistently flat dispersion profile, expansive effective mode field area and minimal confinement loss across the wavelength range of 0.6 to 1 μm. The confinement loss (CL) ranges approximately between 2.49701 × 10−11 to 9.13425 × 10 −9 dB/m, while highest attained OAM purity is 99.31969% and 98.99258% at HE2,1 mode respectively for both inner and outer rings. All the modes demonstrate ERIDs exceeding 10 −4, and minimum dispersion variation observed is −856 ps/km − nm. Additionally, achieving an outstanding isolation performance, with the highest attained ISO reaching 294 dB at HE9,1 mode and observed a substantial effective mode area of 9.15 μm2 and 25.8 μm2 respectively for inner and outer rings. This research leverages COMSOL Multiphysics' finite element method (FEM) and perfectly matched layer (PML) capabilities alongside MATLAB processing to calculate all key variables of the offered fiber. Therefore, the suggested Photonic PCF demonstrates promising prospects for extended-range, high-capacity data transmission within optical communications and applications related to OAM sensing. Thesis 2024-01-01T00:00:00Z