Browsing 2024 by Issue Date

Browsing 2024 by Issue Date

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  • Scalable Blockchain System for Industrial Internet of Things 
    Faisal, Fahim; Rahman, Mishal Al (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-01-01)
    Blockchain being a trustless medium makes the flow of data much easier and more secure. Blockchain can be used in various sectors like health, finance, agriculture, supply chain, etc. Recently the integration of blockchain ...
  • 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 ...
  • 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 Rice Leaf Disease Identification with Object Detection and Image Enhancement 
    Chowdhury, Rafi Hassan; Ahmed, Faria; Annesha, Tasfia Tasneem (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-11)
    Highly accurate rice leaf disease identification using lighter models can ensure food security globally and also less crop loss by maximizing the rate of disease identifica tion in proper time. Our thesis focus is on the ...
  • Utilising Sampling Techniques to Enhance Network Intrusion Detection System (NIDS) Performance in Imbalanced Data Scenarios 
    Dicko, Idrissa Mahamoudou; Rageb, Sabry Said Sabry; Kindzeka, Shalanyuy Nabil (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-19)
    In contemporary cybersecurity research, the fusion of sampling techniques with state of-the-art Machine Learning (ML) and Deep Learning (DL) models has emerged as a pivotal area of exploration, aimed at enhancing the ...
  • BDA: Bangla Text Data Augmentation Framework 
    Tariquzzaman, Md.; Anam, Audwit Nafi; Haque, Naimul (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-23)
    Data augmentation can be a valuable technique, particularly in resource-scarce linguistic domains for improving the performance of natural language processing tasks by creat ing new synthetic data instances. This paper ...
  • Anomaly Detection in IoT Devices Using Quantum Machine Learning 
    Karim, Shaikh Faiyaz; Chowdhury, Sajid Ahmed; Bhuiyan, Md. Shahriar Islam (2024-06-24)
    The adoption of the Internet of Things in our daily lives has led to an explosion of data. As we stay connected our data is exposed in various networks which can be a huge security concern. It is important to effectively ...
  • Fake News Detection with Credibility Signals 
    Tarannum, Prerana; Roza, Sabrina Sajneen; Lamia, Rifa Sanjita (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-25)
    In the era of huge information, it is necessary to justify the online contents whether it is true or false. Nowadays it is a great challenge to detect false information as the online contents sometimes show numerous ...
  • A Hybrid Approach for Long Document Summarization: Optimizing Cross-attention and Abstractive Performance 
    Shishir, Tanvir Hossen; Hossain, M. Mohtasim; Rashad, Fahim Sadik (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)
    This thesis addresses the challenge of long document summarization within the do main of Natural Language Processing (NLP), with a primary focus on enhancing fac tual consistency and text coherence while effectively managing ...
  • Identity Trace: E-Government Application System 
    Abdoulmalik, Walidi; Mukaddas, Ahmad Muhammad; Bodjam, Malamine (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)
    Identity Trace, part of the E-Government project, aims to transform the way we access public services using face recognition in visa applications. This thesis presents the creation of a web system that is highly secure ...
  • 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 ...
  • 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 ...
  • Autism Detection with Technology-driven Gaze Tracking 
    Haider, Syed Fateen Navid; Rahman, Tafsir Md. Rubaiyat; Rifa, Mohsina Tabassum (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Early detection and rehabilitation for Autism Spectrum Disorder (ASD) can be challenging, hampering optimal outcomes. Despite breakthroughs in research, the nuanced nature of ASD symptoms frequently leads to delayed ...
  • Neural IR-based Approaches for Bangla Text Retrieval 
    Khan, Mohammed Sami; Sami, Khaja Abdus; Rafi, Prottoy (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Information retrieval (IR) for Bangla text has received relatively little attention de spite the widespread global usage of the language. The rich morphology and lack of capitalization for Bangla presents challenges for ...
  • 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 ...
  • Hybrid Deep Learning Model for Bispectral Index Estimation using EEG Signal 
    Ibrahim, Md. Shoaib Shahriar; Chowdhury, Majidul Islam; Rahman, Md. Ashikur (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Electroencephalography (EEG) plays a crucial role as a neurophysiological tool in anesthesia, offering invaluable insights into brain activity and responses during surgical procedures. Key to this role is the Bispectral ...
  • 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 ...
  • 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 ...
  • Bangla NER using Few-Shot Learning 
    Ferdous, Zannatul; Khandker, Nabliha; Chowdhury, Farzana (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Named Entity Recognition (NER) is a critical task in Natural Language Pro- cessing (NLP) for low-resource languages like Bengali. This paper explores few-shot learning for Bengali NER using ProtoBERT, NN-SHOT, and ...
  • 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 ...

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