DIU Institutional Repository: Recent submissions

  • An effective approach for multi-class fruit and vegetable classification based on modified ResNet-18 from a combined dataset 
    Siddiquei, Md Aktaruzzaman (Daffodil International University, 2024-07-15)
    This study delves into the pivotal role of fruit and vegetable quality in influencing human health, emphasizing the necessity of prioritizing fresh produce for optimal well-being. Consumption of high-quality fruits and ...
  • Detection of phishing URLs: a machine learning approach 
    Ahmed, Shakib (Daffodil International University, 2024-01-13)
    Phishing attacks represent one of the most prominent cybercrimes today, their main aim is illicitly acquiring sensitive information such as passwords, user names, email bank details, and credit card information. Their ...
  • A Web Based Application :Online Book Store 
    Bikash, Md. Sakhawat Hossen (Daffodil International University, 2024-07-24)
    As the digital age continues to shape the way we interact with information and media, online bookstores have become integral platforms for readers worldwide. This abstract delves into the dynamics, challenges, and ...
  • Adapting Whisper AI for Multilingual Speech-To-Text Conversion in Bangladeshi Ethnic Languages 
    Yeiad, Kabid; Jim, Jannatul Ferdushi (Daffodil International University, 2024-07-24)
    This research shows how a full speech-to-text and translation system was made to turn sounds from five different ethnic languages into Bangla. These languages are Malo, Bawm, Santali, Marma, and Garo. The study looks at ...
  • Enhanced Rice Leaf Disease Detection Using Densenet201: A Deep Learning Approach 
    Prosad, Bishal (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-25)
    Accurate and prompt detection of rice leaf diseases is vital for ensuring healthy crop yields and preventing major agricultural losses. This study proposes an advanced method for diagnosing rice leaf diseases using the ...
  • Pneumonia detection with x-ray images approach with deep learning 
    Arnob, Abid Rayhan; Atika, Maria Akther (Daffodil International University, 2024-07-24)
    This study tries to create a reliable model for detecting pneumonia using chest X-ray images. The work makes use of advanced deep learning architectures such as DenseNet, InceptionV3, ResNet, VGG16, and VGG19, as well ...
  • Rice leaf disease detection using convolutional neural networks 
    Hossain, Md. Sabbir (Daffodil International University, 2024-07-24)
    Rice is one of the major developed crops in Bangladesh which is influenced by different infections at different stages of its cultivation. It is exceptionally troublesome for the farmers to manually identify these ...
  • A New Approach from Public Behavioral Attitudes and Perceptions Towards Microplastics: Influencing Factors, and Policy Proposals 
    Al Masud, Abdulla; Islam, Abu Reza Md Towfiqul; Al Mamun, Abdullah; Alam, G.M. Monirul; Arabameri, Alireza; Bari, A.B.M. Mainul; Pal, Subodh Chandra; Rakib, Md Refat Jahan; Senapathi, Venkatramanan; Bodrud-Doza, Md.; Idris, Abubakr M.; Malafaia, Guilherme (Elsevier, 2024-07-01)
    This research paper addresses the urgent environmental concern of microplastic (MP) emissions, focusing on the behavioral attitudes and perceptions of the general populace in Shyamnagar Upazila, Bangladesh. Against the ...
  • Music Studio - Elevate Your Musical Talent 
    Mean, Md Minhaz (Daffodil International University, 2024-07-24)
    The “Music Studio - A Web Based Online Music School Application” project is an innovative web-based platform designed to revolutionize online music education by seamlessly connecting students with skilled instructors ...
  • A Machine Learning Approach to Predict Quality of Drinkable Water. 
    Ananta, Fuad Ahmed; Emon, Al-Sabbir-bin-Saifullah (Daffodil International University, 2024-07-24)
    Ensuring access to clean and safe drinking water is vital for both human health and environmental balance. This study focus into the application of computer algorithms to predict the safety of drinking water. The primary ...
  • Polarity Detection of Top IPL Players' Tweets Using BERT and SVM based on tweets 
    Hemel, Sheikh Nazmus Shakib (Daffodil International University, 2024-07-24)
    Sentiment analysis represents a fundamental component of natural language processing, playing a pivotal role in understanding user sentiments and public opinion across diverse domains. This research undertakes a comparative ...
  • Alkaloids as Drug Leads in Alzheimer's Treatment: Mechanistic and Therapeutic Insights 
    Islam, Md. Rezaul; Akash, Shopnil; Islam, Mohammed Murshedul; Sarkar, Nadia; Kumer, Ajoy; Chakraborty, Sandip; Dhama, Kuldeep; Al-Shaeri, Majed Ahmed; Anwar, Yasir; Wilairatana, Polrat; Rauf, Abdur; Halawani, Ibrahim F.; Alzahrani, Fuad M.; Khan, Haroon (Elsevier, 2024-07-01)
    Alzheimer's disease (AD) has few effective treatment options and continues to be a major global health concern. AD is a neurodegenerative disease that typically affects elderly people. Alkaloids have potential sources for ...
  • Bangladeshi jujube leaf disease classification using deep learning techniques 
    Hasan, Md. Sazid; Ahmed, Jobaer (2024-07-24)
    This paper explores the use of deep learning algorithms in identifying diseases affecting Bangladesh jujube leaves, with the goal of improving crop yields and yields’ management. A dataset comprising 2400 images was ...
  • Social Media-Based Education Platform: ‘TIE-UP DIU 
    Chowdhury, Md. Muaj (Daffodil International University, 2024-07-24)
    The necessity of robust communication platforms within educational communities has become increasingly important in an era marked by the rapid advancement of technology and the evolution of professional landscapes. An ...
  • Transforming Online Voting: A Novel System Utilizing Blockchain and Biometric Verification for Enhanced Security, Privacy, and Transparency 
    Faruk, Md Jobair Hossain; Alam, Fazlul; Islam, Mazharul; Rahman, Akond (Springer Nature, 2024-04-19)
    As a cornerstone of democratic governance, elections hold unparalleled significance, shaping a nation’s trajectory. However, the prevailing ballot-paper based voting systems continue to face trust issues among significant ...
  • Application of Artificial Intelligence as a Knowledge Creation Instrument In Tax Procedures 
    Koivula, Karri; Shamsuzzoha, AHM; Shamsuzzaman, Mohammad (Elsevier, 2024-04-25)
    This study set out to find whether deep learning algorithms neural networks and self-organizing maps could be utilized in a value-adding way in the Finnish Tax Administration in the handling of income tax related claims ...
  • Multiband Highly Sensitive Metamaterial-based Thz Absorber for Edible Oil Adulteration Sensing 
    Haque, S.M. Anowarul; Hossain, Md Sohayeb; Alqahtani, Abdulrahman; Islam, Mohammad Tariqul; Moniruzzaman, Md.; Samsuzzaman, Md. (Elsevier, 2024-07-15)
    A terahertz (THz) wave technology is very appealing for applications in detection in biomedicine, biological spectroscopy, material characterization, detection, imaging, sensing, and other convenient applications. Metamaterials ...
  • Effect of Annealing Process on the Physical Properties of ZNO Nanorods and Their Performances as Photodetectors 
    Ali, Shams B.; Fakhri, Makram A.; Gopinath, Subash C. B. (Springer Nature, 2024-05-15)
    This study examines the impact of thermal annealing on ZnO nanorods produced by vapour phase transport. Nanorods were annealed at temperatures of 300, 500, and 700 °C. It has been demonstrated through X-ray diffraction ...
  • Exploring Gene Regulatory Interaction Networks and Predicting Therapeutic Molecules for Hypopharyngeal Cancer and Egfr-mutated Lung Adenocarcinoma 
    Bhattacharjya, Abanti; Islam, Md Manowarul; Uddin, Md Ashraf; Talukder, Md Alamin; Azad, AKM; Aryal, Sunil; Paul, Bikash Kumar; Tasnim, Wahia; Almoyad, Muhammad Ali Abdulllah; Moni, Mohammad Ali (John Wiley & Sons Ltd, 2024-04-16)
    Hypopharyngeal cancer is a disease that is associated with EGFR-mutated lung adenocarcinoma. Here we utilized a bioinformatics approach to identify genetic commonalities between these two diseases. To this end, we examined ...
  • The Experimental Significance of Isorhamnetin as an Effective Therapeutic Option for Cancer: A Comprehensive Analysis 
    Biswas, Partha; Kaium, Md. Abu; Tareq, Md. Mohaimenul Islam; Tauhid, Sadia Jannat; Hossain, Md Ridoy; Siam, Labib Shahriar; Parvez, Anwar; Bibi, Shabana; Hasan, Md Hasibul; Rahman, Md. Moshiur; Hosen, Delwar; Siddiquee, Md. Ariful Islam; Ahmed, Nasim; Sohel, Md.; Azad, Salauddin Al; Alhadrami, Albaraa H.; Kamel, Mohamed; Alamoudi, Mariam K.; Hasan, Md. Nazmul; Abdel-Daim, Mohamed M. (Elsevier, 2024-06-10)
    Isorhamnetin (C16H12O7), a 3'-O-methylated derivative of quercetin from the class of flavonoids, is predominantly present in the leaves and fruits of several plants, many of which have traditionally been employed as remedies ...

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