• A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis 

  Nishita, Sadia Alam; Alvee, Navid Hasin; Siddique, Md. Shahnewaz (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  Code-mixed data, blending two or more languages within sentences, offers valuable insights for low-resource languages like Bengali, which have limited annotated cor pora. While sentiment analysis has been widely explored ...
• Detection of Social Media Cyberbullying in the Bengali Language : A Comparative Study 

  Prangon, S.A.M Sajratul Yeaken Mollah; Asif, Anik Emtiaz; Taha, Fayeaz-E-Abrar (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  As social media platforms have become more widely used, cyberbullying has become a major issue that cuts over linguistic and geographic barriers. Although significant efforts have been made to identify cyberbullying in ...
• Extraction of app problems and its corresponding user action from user review of apps using few-shot learning 

  Khan, Maman Yusuf; Eftee, Sadik Yasin; Noor, Raiyan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  User reviews provide the developers with very important feedback on how to fix the problems, improve application performance, and enhance the user experience. However, these are very unstructured, containing typographical ...
• Leveraging RLHF with Instruction Fine-tuning for Improving LLM Response in Bangla Conversations 

  Rahman, Tahmid; Mahmud, Shahriar; Nasrum, Nur (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-11-30)

  In the realm of Bangla conversational agents, this research endeavors to elevate the responsiveness of Large Language Models (LLMs) through the synergistic ap plication of Reinforcement Learning from Human Feedback (RLHF) ...
• Evaluating the Robustness of Image Steganography Techniques against Diverse Degradation Techniques 

  Orpa, Lamiya Tahsin; Ferdous, Rahanuma Ryaan; Hasan, Umme Tasnim (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  Within the field of steganography, image steganography is a fascinating technique that hides confidential data behind a cover image. However, the quality and security of hidden content are threatened by potential degradation ...
• Improving Few Shot Adaptive Learning for Medical Image Classification using Vision Transformer(ViT) 

  Arif, Nokimul Hasan; Ahbab, Sakif; Aziz, Syem (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  Medical image classification plays a pivotal role in automating disease diagnosis and treatment planning. However, the limited availability of annotated medical data poses a significant challenge for training accurate ...
• A lightweight deep learning based approach for rice leaf disease classification 

  Moir, Zaed Bin; Abrar, Rakin; Rafit, Hasibul Hasan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  Efficient and timely identification of diseases and pests in rice plants is crucial for farmers to apply timely interventions and mitigate economic losses. The recent ad vancements in deep learning, particularly in ...
• Enhancing Few-Shot Medical Image Segmentation with Refined Prototypes 

  Ishrak, Isaba; Nushra, Sabah; Anika, Fairoz (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)

  Deep learning has achieved tremendous success in computer vision, while medical image segmentation (MIS) remains a challenge, due to the scarcity of data anno tations. Deep learning-based medical image segmentation methods ...
• A Transformer Based Approach for Classifying Software Requirements 

  Hoque, Maheen Mashrur; Habib, Ahsan; Khan, Arman Hossain Dipu (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-30)

  Optimizing and automation of the software development lifecycle (SDLC) has been a challenge in the domain of software development for a while. One of the main challenges in automation of the SDLC lies within the work of ...
• Detection and Recognition of Bangla Nameplates Using YOLOV6 and BLPNET Models 

  Sinthia, Camelia (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-09-02)

  With an emphasis on Bangladeshi car number plates, this thesis offers a successful method for identifying and recognizing license plates. Character recognition, plate detection, and dataset creation are the three stages ...
• Development of an Investment Proposal Processing System in Banks using LLM 

  Nehan, Md. Nazmus Sadat (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-13)

  In the realm of modern banking, the efficient processing of investment proposals stands as a pivotal aspect for both financial institutions and their clientele. This project introduces a new approach leveraging Language ...
• Hate Speech Detection From Multimodal Memes Using Vision-Language Transformer Models 

  Ivan, Shahriar (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-21)

  Memes are widely prevalent in social media, serving as tools for both entertainment and communication but also having the potential to harbor offensive content. Given the extensive amount of online content, automated methods ...
• Entity Level Sentiment Analysis from Online Bangla Reviews 

  Mahfuz, Obayed Bin (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-01-22)

  Extracting sentiment orientation from texts is known as sentiment analysis or opinion mining. The evaluation of consumer sentiment through reviews offers valuable insights into product quality. Entity Level Sentiment ...
• Wavelet-infused U-Net for Breast Ultrasound Image Segmentation 

  Bakshi, Alif Arshad; Joarder, Reaz Hassan; Tasmi, Sidratul Tanzila (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-14)

  Breast cancer is a prevalent health concern globally. The consequences of breast can- cer and its mortality can be reduced through early detection and successful treatment. However, existing safe and non-invasive methods ...
• Roshd: A Mobile App for Educational Institute 

  Shah, Sayed Ghazanfar; AbuMettleq, Alaaeddin; Kamal, Mohammed (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)

  The Roshd mobile application is a sophisticated tool designed to streamline school management and communication. It has been Developed using Dart and the Flutter framework in Android Studio, the app addresses the needs of ...
• Aspect Based Sentiment Analysis on a Novel Bangla Dataset Using Transformers 

  Rahman, Mumtahina; Fatiha, Kaniz; Rahman, Mehesum (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-05)

  Abstracts are crucial summaries of a thesis, balancing brevity and clarity while ef- fectively conveying the study’s essence. Despite their importance, many writers struggle with creating abstracts that are neither too ...
• Zero-Shot Evaluation of Large Language Models on Medical Query Summarization Tasks 

  Chowdhury, Abrar; Sakib, Md. Sadman; Fahim, Farhan Shahriar (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-03)

  Online health consultations are becoming increasingly popular as a way for patients to discuss their medical health inquiries. In Bangladesh, patients are also using online health care solutions and thus providing medical ...
• Automated Patient History Taking 

  Sabil, Azmayen Fayek; Barshat, Tasfia; Hossain, Abir (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)

  Traditional patient history-taking, often hindered by its time-consuming nature, in- completeness, and vulnerability to subjective bias, hampers accurate diagnoses and personalized care. This paper explores the limitations ...
• Classification of Plant Leaf Diseases Using Few Shot Learning 

  Tahsin, Tasfia; Islam, Anika; Anjum, Zaarin (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-12)

  Our research on plant leaf disease classification is summarized in this report, emphasizing the use of few-shot learning methods in the task. Although the efficacy of traditional deep learning techniques is prominent, ...
• A Framework for Grammar Inferencing using LLM Heuristics 

  Noman, Abdullah Al; Shreshtho, Talimul Bari; Sakib, Esrat Ebtida (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)

  Grammar inferencing is a major topic in the realm of programming language. To cre- ate and enhance the ecosystem of any programming language (which generally con- sists of optimized compilers, defined maintenance, and ...

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