DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • Enhancing diagnostic precision: 
    Al Maruf, Abdullah (Daffodil International University, 2024-01-26)
    The accurate and timely analysis of blood cell images plays a crucial role in disease diagnosis and monitoring. This research looks into the segmentation and classification of white blood cells using machine learning ...
  • Catering service management system 
    Hassan, Mocksidul (Daffodil International University, 2024-01-25)
    This report offers a comprehensive overview of the Catering Service Management System, a mobile application created to enhance the efficiency and management of catering services. Simplifying the operational procedures ...
  • Advancing sentiment analysis in Bengali: 
    Al Masud, Abdullah (Daffodil International University, 2024-01-22)
    This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
  • An online multifaceted donation system in Bangladesh 
    Tayeba, Jannati (Daffodil International University, 2024-01-22)
    A web-based An Online Multifaceted Donation System in Bangladesh was created to make it easier for those in need to donate goods, funds, and medications. By bridging the gap between donors and recipients, this method ...
  • Prediction of Cardiovascular Diseases Using Machine Learning 
    Likhon, Nasim Mahmud (Daffodil International University, 2024-01-22)
    A condition of the heart or blood vessels is referred to as cardiovascular disease (CVD). Globally, cardiovascular diseases (CVDs) constitute the primary cause of mortality. Coronary heart disease is among the most ...
  • DIUride: enhancing campus transportation 
    Maruf, Md. Jahidul Islam (Daffodil International University, 2024-01-22)
    The DIUride is a smartphone software specifically designed to meet the transportation needs of Daffodil International University students, offering them a quick and efficient ride-sharing alternative. The main objective ...
  • Computer vision-based transfer learning techniques for classification of local pigeon species in Bangladesh: 
    Hasan, Md. Mehedi (2024-01-25)
    In the realm of avian conservation, this thesis embarks on a pioneering journey to enhance the classification of pigeon species within Bangladesh. Leveraging the powerful Xception model, we present a breakthrough approach ...
  • Importance of detecting anomalies in the environmental context of the banking sector by using machine learning models 
    Razia, Sultana (Daffodil International University, 2024-01-25)
    In the contemporary mobile banking sector, fraud transactions are becoming a huge concern day by day due to inadequate knowledge, susceptibility to phishing, and the propensity of individuals unfamiliar with banking ...
  • Enhancing brain tumor detection with royal filter and btv19 model 
    Hossain, Sadia (Daffodil International University, 2024-01-25)
    This work aims to enhance brain tumor diagnosis accuracy by examining crucial aspects of cleaning and filtering MRI datasets, emphasizing the novel integration of Royal filtering with the VGG19 architecture. It employs ...
  • Vehicle and human detection utilizing yolov8: a case study in Dhaka 
    Bormon, Sajib (Daffodil International University, 2024-01-25)
    Transportation problems happen in cities because they are so inherent in diversity and always changing. The result is that traffic congestion, accidents, and the economic burden of these things are extremely difficult ...
  • Optimizing network performance & scalability with ipv6 in a university network model 
    Murtoja, Prieo Mohammad (Daffodil International University, 2024-01-25)
    In today's fast-paced digital era, universities and educational institutions play a pivotal role in shaping the future of our society. They serve as hubs of knowledge, research, and innovation, and their ability to harness ...
  • Detecting helmets on bike riders using deep learning techniques 
    Tushar, Md. Abu Hana Mostafa Zaman (Daffodil International University, 2024-01-25)
    The study introduces a technique for instantaneously and automatically detecting the helmets worn by bike riders. Bikers are a prevalent means of transportation for many folks in my country. Bike have become more popular ...
  • A comprehensive deep neural network approach for multi- class classification of Bangladeshi local bananas with ripeness assessment 
    Sowrna, Nourin Jahan (Daffodil International University, 2024-01-25)
    This research employs the NasNetMobile model to address the critical task of banana disease classification, achieving an impressive accuracy rate of 97.12%. Leveraging deep learning techniques, the study focuses on ...
  • Bangla fake news identification using deep learning and machine learning 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-25)
    Identification Of Bangla Fake News is very challenging, mostly when there is so much news from multiple online sources like social media, online news, and other online platforms. Detecting fake news is comparable in ...
  • Development of a website name “Recrooter” 
    Imam, Md. Ali (Daffodil International University, 2024-01-26)
    In today's culture, effective management of human resources within firms, corporations, and organizations poses a significant challenge for management. The primary objective of this project is the development of a Recrooter ...
  • Local fish species classification based on computer vision 
    Showorv, Md. Mehedi Hasan (Daffodil International University, 2024-01-26)
    This research titled as “A Comprehensive Study on Multi-Class Classification and Damage Identification in Bangladeshi Fruits using Deep Neural Networks” presents a comprehensive exploration of fruit classification focusing ...
  • Salinity-resilient crop health monitoring: automated disease detection in luffa Aegyptiaca leaves using Vision Transformer & CNN 
    Islam, Md. Tariqul (Daffodil International University, 2024-01-25)
    In coastal areas where agriculture is often constrained by salinity, cultivating specific crops like Luffa Aegyptiaca (sponge gourd) becomes crucial for local sustenance. Identifying these diseases is challenging and ...
  • Extractive text rank-based NLP news summarization for multiple domains 
    Mustofa, Md. Wazih Ullah (Daffodil International University, 2024-01-26)
    This paper provides a thorough analysis of extractive summarization, or the use of Natural Language Processing (NLP) techniques to summarize news articles. Approximately two thousand articles covering a wide range of ...
  • Disease prediction and doctor recommendation system using machine learning approaches: a case study in Bangladesh 
    Abir, Darun Karas (Daffodil International University, 2024-01-26)
    Despite significant strides in modern technology, a substantial portion of the global population is still not getting proper medical care. This issue is particularly pronounced in developing countries which face a double ...
  • Bangla book review analysis with different word embedding and machine learning 
    Abdul Al Motakabbir, Md. (Daffodil International University, 2024-01-26)
    Different product review analysis recently attracted the attention of natural language processing specialists, thanks to positive customer comments and reviews spread around the web. The increasing number of e-commerce ...

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