• 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 ...
• 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 ...
• PrivacyExtractor: Automated Annotation and Classification of Privacy Concerns in User-generated App Reviews 

  Farah, Labiba; Islam, Md. Sakibul; Anam, MD Mohaymen Ul (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-05)

  This thesis presents the development of a sophisticated tool designed to automatically annotate and classify privacy-related user reviews from the Google Play Store and a novel dataset. With privacy concerns becoming ...
• Creating a novel adaptive AI for a Real-Time Fighting game 

  Muti, Abdullah Al; Khan, Iftikhar Imrul; zaz, Taszid I (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-27)

  AI has transformed how we play, bringing both online and offline gaming to excit ing new levels.While progress has been made in many areas, research in game AI hasn’t kept up like other fields. In this research, we want ...
• ML Model Access and Collaborative Training through Decentralized Data Contribution 

  Islam, Md Samin Yasar; Khan, Arafat Kabir; Noor, Agni Otulonio (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-05)

  Machine learning has been at the heart of various industries by enabling systems to learn from data and improve their performance over time. Its applications span a wide range of fields, from healthcare to finance, ...
• Improving Faithfulness in Medical Text Summarization: An LLM-Based Approach 

  Oeshy, Nafisa Tabassum; Mostofa, Ajwad Abrar; Maheru, Prianka (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)

  Medical text summarization, particularly for consumer health queries, is a critical area of research due to its potential to enhance healthcare delivery. In the context of online consumer health questions, efficient ...

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