DIU Institutional Repository: Recent submissions

  • Phytochemical and biological analysis of methanol extract of Barringtonia acutangula leaf 
    Nova, Khodaza Nusrat (Daffodil International University, 2024-04-21)
    Barringtonia acutangula, a member of the Lecythidaceae family, is well-known in many cultures for its traditional medicinal uses. This study attempted to undertake a comprehensive phytochemical analysis in addition to ...
  • A survey on Hemoglobin E Trait Prevalence, Clinical Manifestations, and Genetic Considerations at Shaheed Suhrawardy Medical College and Hospital 
    Zenith, Mosarrat (Daffodil International University, 2024-04-21)
    In Southeast Asia and the surrounding regions, hemoglobin E, an abnormality of the human hemoglobin β-chain, is extensively spread. This survey aimed to investigate the prevalence, clinical manifestations, and genetic ...
  • Chemical and Biological investigation of methanolic extract of Alstonia scholaris 
    Miah, Md. Suman (Daffodil International University, 2024-04-21)
    Alstonia scholaris, commonly known as the "Saptaparni" or "Blackboard tree," is a medicinal plant widely distributed throughout tropical and subtropical regions. In this study, we conducted a comprehensive chemical and ...
  • A Review on Seamless Clinical Trials: 
    Jahan, Tusnim (Daffodil International University, 2024-04-21)
    The cornerstone for assessing the safety and efficacy of medical therapies is clinical trial data, which promotes improvements in healthcare. Conventional trial designs are still important but frequently face obstacles, ...
  • An advanced deep learning approach for cat breed classification 
    Das, Tanni; Rumu, Rumanna Aktar (Daffodil International University, 2024-07-13)
    In this paper, an improved deep learning method is proposed to recognize the cat breeds with high accuracy and high CNN structures. The dataset, sourced from Kaggle, comprises 2,557 labeled images across four distinct ...
  • Wheat Leaf Disease Detection And Solution Using Deep Learning Algorithms 
    Prayash, Shafayat Hossain; Siddik, Abu Bakar (Daffodil International University, 2024-07-14)
    In the field of agricultural science, the automated detection of wheat leaf diseases is essential for the preservation of crop health and the guarantee of optimal agricultural productivity. The necessity of sophisticated ...
  • Adhd prediction using machine learning algorithms 
    Saniat, Sadnam (Daffodil International University, 2024-07-13)
    This study analyzes the use of machine learning algorithms to predict Attention Deficit Hyperactivity Disorder (ADHD) based on a number of feature sets. A dataset from online containing demographic information, personality ...
  • A Deep Learning Approach For Precise Classification Of Nasal Polyps: Distinguishing Antrochoanal Polyps And Ethmoidal Polyps 
    Maowa, Jannatul; Shahriar, Md.Shihab (Daffodil International University, 2024-07-13)
    Nasal polyps are benign growths that occur within the sinuses or nasal passages. Because of their interconnected characteristics and diverse appearance, they present significant challenges in terms of diagnosis and ...
  • Enhancing Stroke Prediction Dataset Performance Through Dataset Merging and Analyzing Important Feature 
    Riju, Rabeya Sultana (Daffodil International University, 2024-07-13)
    Predictive modeling plays a vital role in stroke prediction, enabling timely intervention in healthcare. It is inevitable that any form of prediction especially in the prediction of stroke would require some form of ...
  • Lemon leaf chemical feature extraction over categorical images using Neural Network 
    Islam, Md Nahidul (Daffodil International University, 2024-07-14)
    This paper convolutional neural networks (CNNs) have shown great promise for the categorization and chemical feature extraction of lemon leaves, among other agricultural applications. This paper investigates the use of ...
  • Dealership Management System 
    Rahman, Mustafijur; Islam, Md. Sherajul (Daffodil International University, 2024-07-13)
    The "Dealership Management System" will be designed as an Android application to revolutionize the management of automotive dealerships in Bangladesh. In a fastly evolving automotive market like Bangladesh, effective ...
  • ARDUINO Based Pick and Place Bot Using Image Detection 
    Bappy, Md. Aslamuzzaman (Daffodil International University, 2024-07-13)
    The contemporary landscape of robotics is marked by the integration of smart technologies to enhance autonomy and utility. This thesis presents the development of an Arduino-Based Pick and Place Bot employing image ...
  • Internship on networking at One Sky Communication Limited 
    Ray, Milon Chandro (Daffodil International University, 2024-07-13)
    It’s a reality that in the present or in the future, especially with any kind of work, people cannot think without the internet. Therefore, for the sake of this future life, it should not be taken too lightly and attempts ...
  • Smart Dining: A Machine Learning Approach to Caloric Display in Bangladeshi Restaurants 
    Ferdous, Jannatul (Daffodil International University, 2024-07-13)
    This research applies machine learning methods to estimate and present the calorie content of traditional Bangladeshi cuisine, empowering individuals to make informed dietary choices and encouraging healthier eating ...
  • YOLO Based Real-time Bangladeshi Vehicle License Plate Identification 
    Faysal, Md. Tarakuzzaman (Daffodil International University, 2024-07-13)
    (ALPR) Automatic License Plate identification plays a crucial role in traffic management, security applications, tools collection and various aspects of modern life. Every country has their own unique license plate model. ...
  • Enhancing mobile security through threat detection and classification of malware using machine learning algorithm 
    Khan, Md. Safiatul Islam; Sami, Md. Abu Saleh (Daffodil International University, 2024-07-13)
    Malware, short for malicious software, is designed to disrupt the normal operation of a computer or mobile device, acquire confidential information, and fraudulently gain access to secure computer networks. With mobile ...
  • Different Leaf Disease Detection by Deep Learning Approach 
    Fariha, Fawziyah Akhter (Daffodil International University, 2024-07-13)
    The use of deep learning techniques to identify common leaf diseases in different crop species is the main focus of this study, which makes use of a dataset of 10,000 unprocessed mobile phone photos. The study encompasses ...
  • Avocado Leaf Disease Detection Using Deep Learning 
    Hossain, Ali (Daffodil International University, 2024-07-13)
    Avocado is a food crop of the tropical and sub-tropical zone scientifically known as Persea americana due to its creamy texture and health-enhancing fats. Detecting diseases in avocado leaves is essential for maintaining ...
  • Deep Learning-Based Plant Recognition in Bangladesh 
    Sajid, Farhan; Sujon, Md. Salim Reza (Daffodil International University, 2024-07-14)
    Recognizing plant species from leaves is difficult due to the vast number of species, making identification challenging. Manual identification is quite a tedious and slow process. Thus, the automation of this process is ...
  • Leveraging Deep Learning For Ovarian Cancer Classification Using Image Data 
    Adnan, Gazi; Md. Tanvir Mahmud, Md. Tanvir (Daffodil International University, 2024-07-13)
    Ovarian cancer presents a significant challenge to global healthcare, demanding accurate diagnosis and specialized treatment plans. Leveraging advancements in deep learning, particularly in medical imaging, offers a ...

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