Faculty of Science and Information Technology: Recent submissions

  • Sakib, Md. (Daffodil International University, 2024-07-13)
    Biometrics, involving the analysis of human behavior and characteristics, has become instrumental in enhancing security measures. This paper explores the various approaches employed in face recognition, a pivotal biometric ...
  • Haque, Faria (Daffodil International University, 2024-07-13)
    This work investigates the use of sophisticated pre-trained language models, such as DistilBERT, DistilRoBERTa, and BETO, for heart disease analysis in the healthcare domain, especially for the classification of heart ...
  • Hasan, Md Mehedi (Daffodil International University, 2024-07-13)
    This study explores the application of deep learning models for the detection of rice leaf diseases, a critical issue impacting global rice production and food security. The research focuses on five advanced deep learning ...
  • Anik, Adnan Islam (Daffodil International University, 2024-07-13)
    In today's world, the Internet of Things (IOT) plays a crucial role, facilitating the connection and communication of automated devices. Through IOT technology, data from the environment can be sensed using various ...
  • Fuad, Md. Abdullah Al; Fatema, Shekh Kaniz (Daffodil International University, 2024-07-13)
    In this present era, the Islamic holy religious pieces of literature are the Holy Al-Quran and the Hadiths which can be found in digital forms on smartphones, websites, computers, and in other technologies using social ...
  • Parves, Md. Al-Amin (Daffodil International University, 2024-07-13)
    FOODU, a MERN stack web application created for the final year project at DIU, introduces a transformative approach to food ordering within the university setting. By allowing users to place advance orders, the system ...
  • Nabi, Md. Nurun (Daffodil International University, 2024-07-13)
    The king of fruits, the mango is in great demand, thus it is imperative to prevent sickness in order to maximize profits. Because symptoms can vary, automatic segmentation and detection of leaf diseases remains difficult. ...
  • Sarker, Neela (Daffodil International University, 2024-07-13)
    Gender identification presents a notable challenge in signal processing, with recent attention shifting towards vocal feature analysis over traditional image classification methods. Acknowledging that gender classification ...
  • Hoque, Mazharul; Pavel, Md. Rashedul Islam (Daffodil International University, 2024-07-24)
    This research investigates the efficacy of various deep learning models for wood type classification, employing a dataset comprising 2011 images across five distinct wood classes. Six state-of-the-art architectures, ...
  • Hoque, Mazharul; Pavel, Md. Rashedul Islam (Daffodil International University, 2024-07-13)
    This research investigates the efficacy of various deep learning models for wood type classification, employing a dataset comprising 2011 images across five distinct wood classes. Six state-of-the-art architectures, ...
  • Abir, Md Saidul Islam (Daffodil International University, 2024-07-24)
    A cutting-edge web-based platform called InternBD aims to completely transform Bangladesh's internship market. InternBD, which is committed to helping young professionals, graduates, and students advance professionally, ...
  • Sagor, Mahmudul Hasan (Daffodil International University, 2024-07-13)
    Diabetes is a prevalent chronic disease with significant health implications worldwide. It is usually prolonged in a patient for their entire vitality. Early detection and intervention are vital for successfully managing ...
  • Israt, Bibi Marjan (Daffodil International University, 2024-07-13)
    This study describes a deep learning-based approach for digital classification of dried fish variants, which addresses an essential need in the food industry. With the increasing need for effective and precise methods ...
  • Moly, Jannatul Ferdus; Ovik, Rofidul Hasan (Daffodil International University, 2024-07-13)
    The Paper titled “Analyzing the adaption of organic fertilizer in aquaculture by using embedded technology” is a comprehensive review that delves into the transformative role of machine learning and IoT in Aquaculture. ...
  • Mia, Md Shumon (Daffodil International University, 2024-07-13)
    Speech Emotion Recognition (SER) is a new field in artificial intelligence (AI) and Bengali signal processing that has the potential to improve targeted user interactions and enable more positive interactions with smart ...
  • Rabbi, Md. Minhajul Islam (Daffodil International University, 2024-07-13)
    The "Bharate" app, created with Flutter, introduces an extensive feature set that transforms the house rental experience. By giving thorough descriptions of the rooms that are offered together with the related pricing, ...
  • Biswas, Md. Imran (Daffodil International University, 2024-07-24)
    PORIBAR is a Mobile Base Community Application. The app is a project to unite a community on one platform. If an organization wants to keep track of all their employees from where they joined their organization, then ...
  • Sakib, Nazmus (Daffodil International University, 2024-07-13)
    This study looks at the diagnosis of grape leaf illnesses using a Kaggle dataset that is categorized into four categories: "esca," "black rot," "healthy," and "leaf blight." The study introduces a brand-new illness ...
  • Roy, Bibhu (Daffodil International University, 2024-07-13)
    The user-friendly Web-based travel management system (TMS) "MyTravel" was created with three main stakeholders in mind: system administrators, organizers, and customers all of whom want to travel more easily and more ...
  • Sani, Jahid Sizan (Daffodil International University, 2024-07-13)
    A well-established paradigm exists for fracture identification in medical imaging. Computer- assisted diagnostic systems (CAD) are used by many physicians and other health care providers nowadays to help them detect a ...

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