• Bangladeshi License Plate Detection and Recognition Using YOLO Variants and Enhanced OCR with Model Interpretability 

  Ramit, Shahriar Sultan (Daffodil International University, 2025-09-17)

  This study presents a sophisticated framework for automatic license plate recognition (ALPR) designed for Bangladeshi vehicle registration plates, tackling the intricacies of Bangla script and diverse environmental ...
• Revolutionizing ACL Tear Detection Using Deep Learning Models 

  Heem, Tarian Ahamed (Daffodil International University, 2025-09-17)

  Anterior cruciate ligament (ACL) injuries are considered to be one of the most widespread and acute knee disorders that can require appropriate and timely diagnosis because this can be one of the conditions that will be ...
• Adversarial Malware Detection: Defending AI Models Against Evasive Attacks 

  Hasan, Md Zahid (Daffodil International University, 2025-09-17)

  Adversarial manipulation of static malware features can derail learned detectors. This research builds and audits a complete pipeline that measures and strengthens robustness for Windows executable screening under explicit, ...
• Artifact-Aware Explainable Deep Learning for Reliable Bone Fracture Detection 

  Foragi, Dedarul Islam (Daffodil International University, 2025-09-16)

  Bone fracture detection in radiograph is a fundamental task in clinical practice and a correct and timely evaluation of bone fractures has a very high correlation with patient outcome. If their plates, screws and implants ...
• Java plum leaf disease detection using ML and DL techniques 

  Rahman, Ashab; Molla, Md Istiaq Nezoom (Daffodil International University, 2025-09-17)

  Java Plum (Syzygium cumini) is a valuable fruit crop in terms of nutritional, medicinal and economic value. Nevertheless, the leaves are very prone to disease that can lower yield and quality which can be a burden on ...
• A Deep Learning Customized Framework for Spine Metastatic Bone Cancer Detection and Classification Based on Hierarchical Fuzzy Model 

  Haque, Md. Mezbaul (Daffodil International University, 2025-09-17)

  Spinal metastatic bone cancer is a severe complication of advanced cancer like lung, breast, and prostate, so its early diagnosis and correct classification should be crucial to enhance treatment planning, decision-making, ...
• NyaAI - An AI Powered Assistance for Legal Queries About Women & Children in Bangladesh 

  Mahjabeen, Ummay; Ayshe, Samurtha Jahan (Daffodil International University, 2025-09-16)

  Access to legal knowledge in Bangladesh remains highly unequal, with women and children being among the most vulnerable groups who struggle to obtain affordable, understandable, and timely legal support. Complex legal ...
• Guava Leaf Disease Detection in Bangladesh Using Deep Learning 

  Uddin, Md. Moyen (Daffodil International University, 2025-09-17)

  Guava is a tropical fruit that is both nutritious and economically valuable, and it is widely grown in tropical and subtropical regions. However, its production is often affected by serious diseases such as Red Rust and ...
• Styler bd: A Dynamic Fashion ECommerce with Interactive Dress Up Outfit Builder 

  Ahmed, Jubaer (Daffodil International University, 2025-09-16)

  Styler bd is an online shopping platform with a unique Dress Up outfit builder function to enhance online buying. This unique feature solves the personalization problem in online shopping system. A user can go through ...
• Design and Development of a Smart Blood Donation Platform 

  Habib, Ahasan; Sajid, Riyadh Mahmud (Daffodil International University, 2025-09-09)

  Smart Blood Donation Platform is a contemporary, web-based platform designed to bridge the gap of traditional blood donation management. The platform is designed to create a harmonious and effective connection between ...
• A Deep Learning Approach for Cauliflower Leaf Disease Detection Using Image Analysis 

  Sarker, Chinmay (Daffodil International University, 2025-09-17)

  Cauliflower is a major vegetable crop all over the world, but in several case leaf diseases like black rot, downy mildew and bacterial leaf spot have a substantial impact on the output and quality. For efficient crop ...
• A Machine Learning Based Approach to Detect the Impact of Sleeping Disorders on Mental Health in Youth 

  Hasan, Shah. Md. Mafidur; Das, Sazal (Daffodil International University, 2025-09-16)

  Sleep is one of the basic needs of survival. Sleep helps to reactivate our bodies; it also helps to build and preserve memory and boost immunity. Our body feels relaxed because of sleep. It also relieves our extreme ...
• Addressing Behavioural Patterns of LateNight Sleepers Using a Supervised Learning Approach 

  Supto, Neloy Pramanik; Chowdhury, Rajat (Daffodil International University, 2025-09-16)

  Issues related to Sleep have become a big problem among all age Groups, As It leads to long-term physical and mental health problems. This research aims to classify medical conditions according to sleep patterns and ...
• Real-Time Joint Bleeding Detection and Clinical Decision Support System for Hemophilia Patient 

  Chaccroboti, Dipto (Daffodil International University, 2025-09-16)

  Hemophilia is a rare genetic bleeding disorder where blood does not clot properly due to lack of clotting factors, Factor VIII in Hemophilia A and Factor IX in Hemophilia B, which can result in spontaneous and recurrent ...
• Plant Disease Classification Using ResNet50 with Saliency Map and grad-cam-BasedExplainability 

  Sufi, Hasibul Islam (Daffodil International University, 2025-09-17)

  This study presents a comprehensive deep learning-based framework for multiclass plant disease classification using high-resolution leaf images, with a particular focus on evaluating the performance of convolutional neural ...
• A Deep Learning Approach to Classify Colon Diseases 

  Shayle, Mist. Mariya Hossan (Daffodil International University, 2025-09-17)

  Early and proper diagnosis of Colon diseases is crucial, as it is essential to successful clinical treatment and patient outcomes. InceptionResNet V2, Traditional convolutional neural network architectures (Xception and ...
• AI-Powered Radiology Report Generation Using Multi-Model 

  Roy, Ridam (Daffodil International University, 2025-09-17)

  The rapid development of artificial intelligence (AI) in the field of medical imaging has presented unprecedented opportunities to diagnose with automated accuracy and clinical decision support, but serious challenges ...
• Retinal Disease Classification Using Deep Learning 

  Islam, Mohammed Jahedul (Daffodil International University, 2025-09-17)

  Glaucoma, diabetic retinopathy and cataract are all retinal diseases that cause serious vision loss or blindness worldwide. Early diagnosis of these conditions is important to treat them effectively, and manual analysis ...
• Potato Leaf Disease Detection Using Deep Learning: Development of a Novel Model & Comparative Analysis with Existing Architectures 

  Ridoy, Al-Amin Gazi; Orny, Adiba Rahman (Daffodil International University, 2025-09-17)

  Potato is one of the most crucial food security crops to the world and its production in Bangladesh is a great input to the sustenance of the country as well as being a vital food source to the people. However, its ...
• Deep Learning for the Classification of Rose Leaf Disease 

  Hossain, Fahim (Daffodil International University, 2025-09-17)

  Rose cultivation is essential to the world's floriculture industry. But because it is frequently plagued with various leaf diseases, both the quality and quantity produced on roses will decline.Early discovery and prompt ...

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