Conference paper: Recent submissions

  • Sentiment Analysis from YouTube Video Using Bi-LSTM-GRU Classification 
    Hasan, Firoz; Raza, Dewan Mamun; Moon, Hasan; Nahid, Md. Aynul Hasan (Daffodil International University, 2024-03-30)
    Sentiment analysis is a critical area of study right now. The evolution of social media, websites, blogs, opinions, ratings, and so on. It has expanded significantly along with the development of Internet usage. Through ...
  • Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease 
    Bin Mamun, Sajib; Taimur Ahad, Md.; Monzur Morshed, Md.; Hossain, Nafiull; Rayhan Emon, Yousuf (Daffodil International University, 2024-06-24)
    Recently, vision transformer has gained significant attention in the field of precision agriculture for its ability to transfer knowledge from pre-trained deep models for downstream tasks, particularly with limited datasets. ...
  • Rooftop Solar Power Potential of a Municipal Area in Bangladesh 
    Hamim, Tahzib; Jahlak, Md. Iqramul Hossain; Baten, Tasmia (Daffodil International University, 2024-04-22)
    A nation's economic growth is dependent on reliable, inexpensive energy. Bangladesh, which faces electricity shortages, intends to boost renewable energy alongside fossil fuels. Despite its small land area, the country's ...
  • Riot Perception and Safety Navigation of Autonomous Vehicles Using Deep Learning 
    Komol, Md. Mostafizur Rahman; Hasan, Md. Sabid; Hossain, Md. Razon; Arafat, Md. Eaysir; Shamsul Arefin, Mohammad; Mahfujur Rahman, Md. (Daffodil International University, 2024-03-30)
    Rioting is an act of participating in a violent public disturbance, which involves multiple individuals engaging in destructive activities. Such activities can include vandalism, theft from both public and private property, ...
  • Review on Wearable Antennas and Circuits: Materials, Designs, Applications and Future Direction 
    Mukeddir Ali, Sayed; Sarathee Dutta, Partha; Habib, A K M Ahasan; Kamrul Hasan, Mohammad; Zainul Abadin, AFM; Hosen, Md Sanowar (Daffodil International University, 2024-12-13)
    Biomedicine and radio frequency (RF) engineering have changed the way we monitor our health through soft, wearable technology. These devices must be extremely flexible, safe for the body, and function well. So, we're ...
  • Real Time Flower Identification by Artificial Intelligence 
    Rahman, Moshiur; Ahmed Joy, Taushik; Akter, Samia; Sattar, Abdus (Daffodil International University, 2024-03-21)
    In the realm of flower-rich Bangladesh, the presence of these blossoms enriches our everyday experiences, whether encountered during leisurely strolls, along railway tracks, or within our gardens. However, the beauty of ...
  • A Healthcare-Oriented Machine Learning Framework for Early Detection of Type 2 Diabetes 
    Alam;, Md Ashraful; Chisty, Jahintaqi; Nayeem;, Masud Rana; Ghosh;, Shomitro Kumar; Biswas;, Anik; Alam, Md Fokhrul (Scopus, 2026)
    Type 2 Diabetes Mellitus (T2DM) is a major health issue of critical importance on the international level, and Bangladesh has the highest incidence rate of 13.2% of the disease among adults. Although machine learning (ML) ...
  • AgroTrust: A Blockchain-Enabled AI-Powered Organic Product Certification System 
    Hafiz, Sadman; Rahman, Md. Ataur; Zamee, Tahmid; Hossain, Md Sacklain; Akter, Marufa; Kamal, Ahmad Mostofa; Hasan, Mahady; Rokonuzzaman, M.; Sadia, Farzana (Scopus, 2026-01-20)
    The organic agriculture sector in Bangladesh faces significant challenges due to the absence of a national organic product certification system. As a result, local producers are often forced to rely on expensive international ...
  • OSCC Diagnosis with Deep Learning: A Multi-CNN Approach with Explainability 
    Ramit, Shahriar Sultan; Ahmed, Nayeem; Ishrak, Md. Fatin; Amin, Md. Ruhul; Alo, Alaya Parven; Rahman, Md. Sadekur (Scopus, 2025-11-25)
    : Oral Squamous Cell Carcinoma (OSCC) is among the most frequent cancer death causes, and early detection plays a vital role in improving patient survival. The traditional histopathological diagnosis is subjective and ...
  • Oral Cancer Diagnosis Using Histopathology Images: An Explainable Hybrid Transformer Framework 
    Ramit, Shahriar Sultan; Ahmed, Nayeem; Ishrak, Md. Fatin; Amin, Md. Ruhul; Alo, Alaya Parven (Scopus, 2026-01-05)
    Oral Squamous Cell Carcinoma (OSCC) is among the most frequent cancer death causes, and early detection plays a vital role in improving patient survival. The traditional histopathological diagnosis is subjective and ...
  • Real-Time Water Refill Monitoring and Management System via Wireless Network Using UDP Protocol 
    Hossain, Md. Nayeem; Moon, Md. Abdul Muttalib; Saha, Arajit; Tasnim, Nahiun Lubaba; Sarker, Riaz; Torsa, Shaira Tashnub; Nahar, Sadia; untranslated, ,Pritom; Paul, Sanjoy Kumar; Hussain, Muhammad Kabir; Biswas, Shuvodip (2026-01-02)
    Efficient water resource management is critical in mitigating flood risks, ensuring irrigation facilities, and supporting hydrological research. This paper presents a real-time monitoring system for water level and flow ...
  • Successful Handover of As-Built BIM Models for Operation: Identifying Challenges in the Built Environment Industry 
    Rosseli, Siti Rahimah; Rahman, Rahimi A.; Haron, Ahmad Tarmizi; Ibrahim, Che Khairil Izam Che; Alhammadi, Yasir (Scopus, 2026-01-09)
    The handover of as-built BIM models is vital in ensuring seamless building operations post-construction. However, transitioning these models from construction to operation is often not straightforward and can face various ...
  • Predicting Diabetes in Women through Machine Learning 
    Hasan, Rakib; Islam, Muksitul; Hosen, Md. Mamun; Abdullah-Al-Kafi, Md; Radhakrishnan, Niranchana (Daffodil International University, 2024-04-18)
    Diabetes, a predominant non-communicable illness, presents a significant worldwide open well-being concern with rising incidence rates and noteworthy mortality around the world. Timely determination is essential in moderating ...
  • Predicting Pancreatic Cancer Survival and Staging: A Machine Learning Approach 
    Hasan, Md Umaid; Nishat Khan, Faria; Jahan, Hasnur; Zaman, Zahura; Rahman, Md Mizanur (Daffodil International University, 2024-12-19)
    Pancreatic cancer, it is known as one of the most aggressive one among cancers due to its sudden progression and hard to treat manner. The insidious characteristic of pancreatic cancer is known to be the main reason behind ...
  • Navigating the Threat Landscape of IoT: An Analysis of Attacks 
    Singh, Shivansh; Sharma, Monika; Hossain, Syed Akhter (Daffodil International University, 2024-09-27)
    According to the International Telecommunication Union, a specialist body of the United Nations for ICTs, there were approximately 4.9 billion Internet users worldwide in 2021, and by 2023, this number had risen to over 5 ...
  • A Healthcare-Oriented Machine Learning Framework for Early Detection of Type 2 Diabetes 
    Alam, Md Ashraful; Chisty, Jahintaqi; Nayeem, Masud Rana; Ghosh, Shomitro Kumar; Biswas, Anik; Alam, Md Fokhrul (Scopus, 2026-01-07)
    Type 2 Diabetes Mellitus (T2DM) is a major health issue of critical importance on the international level, and Bangladesh has the highest incidence rate of 13.2% of the disease among adults. Although machine learning (ML) ...
  • AgroTrust: A Blockchain-Enabled AI-Powered Organic Product Certification System 
    Hafiz, Sadman; Rahman, Md. Ataur; Zamee, Tahmid; Hossain, Md Sacklain; Akter, Marufa; Kamal, Ahmad Mostofa; Hasan, Mahady; Rokonuzzaman, M.; Sadia, Farzana (Scopus, 2026-01-20)
    The organic agriculture sector in Bangladesh faces significant challenges due to the absence of a national organic product certification system. As a result, local producers are often forced to rely on expensive international ...
  • Addressing Technical Challenges and Workflow Optimization in 3D Prototype Manufacturing with Creality Ender 3 V2 Neo 
    Jafree, Abdullah; Akandh, Md. Alik; Hasan, Kazi Jahid; Uddin, Md. Salah; Ahmed, Arif (Scopus, 2025-02-09)
    :. This study investigates workflow optimization for desktop Fused Deposition Modeling (FDM) using the Creality Ender 3 V2 Neo in resource-constrained environments. The novelty lies in the integration of hardware resilience ...
  • A Comparative Study of AI-Generated 3D Models and Conventional Software-Based 3D Modeling Techniques: Accuracy, Efficiency, and Creative Potential 
    Hasan, Kazi Jahid; Abhi, Abhijit Roy; Uddin, Md. Salah (Scopus, 2026-02-09)
    This comparative exploration differences between AI-generated 3D models and manually made models, with a focus on accuracy, efficiency, and production readiness. Two approaches were tested: text- and image-based AI tools ...
  • Project-based Model in Physics Learning: The Influence on Computational Thinking Skills on the Eleventh-Grade Natural Science Major Students 
    Subekti, Diah Aghni; Latifah, Sri; Anugrah, Adyt; Fitri, Megawati Ridwan; Makbuloh, Deden; Islam, Monirul (Scopus, 2024-01-29)
    The low level of computational thinking skills of students is a problem of 21st-century skills. One of the efforts to support 21st-century education is by applying a Project-based learning model. This study aims to determine ...

Search DSpace


Browse

My Account