• 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 ...
• 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 ...
• Analysis of the impact of E-Commerce in Bangladesh 

  Rayhan, Shahed (Daffodil International University, 2024-07-14)

  At the time, This E-Commerce Website has a new Development layer of Bangladeshi Market place. This is the new way for opportunities in Consumer and Customer in our Country. So that, Market place is very easy way to both ...
• Effective Polycystic Ovary Syndrome (PCOS) Classification with Machine Learning and Optimized Feature Selection 

  Meem, Sadia Jerin (Daffodil International University, 2024-07-14)

  Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, necessitating accurate prediction and diagnosis for effective patient care and personalized treatment. Despite ...
• Cauliflower Disease Detection Using a Deep Learning Approach 

  Aman, A.Z.M Amanullah (Daffodil International University, 2024-07-13)

  Cauliflower, a significant crop in global agriculture, is susceptible to various diseases that can severely impact yield and quality. Accurate detection and classification of the diseases are crucial for effective crop ...
• EDNET-20: 

  Rashid, Mohammad Riadur (Daffodil International University, 2024-07-14)

  In order to optimize clinical management and treatment, it is crucial to accurately diagnose and classify eye diseases. The significant increase in the occurrence of eye diseases and the frequency of visual impairment ...
• Cricket shot analysis using machine learning 

  Mahmud, Shahriar (Daffodil International University, 2024-07-13)

  Cricket, being one of the most popular sports globally, relies heavily on the skills and techniques of players. With the advent of technology, there is a growing interest in leveraging machine learning techniques to ...

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