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Browsing Project Report by Subject "Deep Learning"

Browsing Project Report by Subject "Deep Learning"

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  • Nationality detection through Eye analysis 
    Shoumik, Shahib Islam (Daffodil International University, 2024-01-01)
    Biometric identification has become increasingly popular as technology progresses, especially with regard to facial and ocular recognition. The study investigates the use of deep learning methods more especially, the ...
  • Papaya Ripeness Prediction Using Machine Learning 
    Islam, MD Iktidar (Daffodil International University, 23-02-18)
    Fruits are a rich source of energy, minerals, and vitamins. Papaya is a perennial fruit of commercial importance due to its high nutritional properties. [13] The packaging of papaya fruit as per its maturity status is an ...
  • Performance comparison of YOLOv5 and YOLOv8 for Plumeria Leaf Gall detection 
    Mahin, Md. Shafayat (Daffodil International University, 2024-01-21)
    Leaf galls are abnormal plant growths resulting from insect parasitism, which can cause major agricultural losses if not managed in a timely manner. Precise early detection of leaf galls is crucial for enabling targeted ...
  • Personality prediction based on social media posts using deep learning 
    Nahid, Nazmul Hosain (Daffodil International University, 2024-01-01)
    This study analyzes the complicated field of personality prediction through the use of the diverse data embedded in social media posts. Our research uses many different areas of machine learning and deep learning algorithms ...
  • Plant Leaf Disease Detection Using Deep Learning Algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-01)
    In the agricultural landscape of Bangladesh, where farming plays a crucial role in the country's economy, the well-being of plants is vital for ensuring food security. The process of photosynthesis, occurring in the ...
  • Predicting the satisfaction level of mobile banking users of Bangladesh from social media sites using machine learning 
    Razzak, Shoaba (Daffodil International University, 2024-01-24)
    The research focuses on the prediction of customer satisfaction in the mobile banking industry in Bangladesh, using social media data collected with Google Forms. The 2608- entry dataset categorizes target attributes as ...
  • Product review sentiment analysis by text vectorization and machine learning 
    Al - Amin, Md. (Daffodil International University, 2024-01-26)
    In Bangladesh, online marketing and e-commerce businesses have prospered in the age of Internet technology. Online shopping has taken over as the primary method of shopping during periods when people are restricted because ...
  • A proposed deep learning approach for Bangla handwritten character recognition 
    Mahmud, Shadhin (Daffodil International University, 2024-01-24)
    The present research on Bangla Handwritten Character Identification investigated a wide range of deep learning architectures, including DenseNet201, VGG19, MobileNetV2, ResNet101, CNN01, and CNN02, and evaluated their ...
  • A proposed deep learning approach for detecting brinjal plant diseases. 
    Hasan, Md Mustakin (Daffodil International University, 2024-01-22)
    The article provides a unique deep learning strategy for automatic recognition of brinjal plant diseases, using a large dataset that contains varied events of Phytophthora Blight, Leaf Curl Disease, Withering Leaves, ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...
  • Real-Time Citrus Leaf Disease Detection Using Deep Learning Approach 
    Ashar, Nur Salek (Daffodil International University, 2024-01-01)
    The spectre of devastating citrus diseases looms large over global agriculture, threatening yields and food security. Early and precise detection is crucial to mitigate crop losses and ensure food security. This research ...
  • Real-Time Vehicle Fitness Detection Using YOLOV5 
    Khan, MD. Mohiuddin (Daffodil International University, 23-01-29)
    Road accidents, which are currently a big problem in Bangladesh, are largely caused by unsafe vehicles. Thousands of people are dying in Bangladesh due to road crushes. The huge number of unfit vehicles across the country ...
  • Sentiment analysis of recent flood disaster of Bangladesh from social media Bangla comments using deep learning 
    Haque, Md. Imdadul (Daffodil International University, 2024-01-01)
    This study provides complete sentiment analysis of Bengali social media posts made in the course of the country's recent flood disaster. We use deep learning models, such as CNN and Bi-LSTM, to evaluate a dataset of 4036 ...
  • Skin disease classification using deep learning 
    Remel, Mahinoor Islam (Daffodil International University, 2024-01-01)
    This study presents an in-depth study of the development of Skin Disease Classification using Deep Learning. The dataset was carefully selected to ensure that it was representative of the skin Disease of various kinds: ...
  • Speech Emotion Recognition using Librosa Library 
    Polin, Mijanur Rahman; Hassan, Md. Mashrafi (Daffodil International University, 23-02-18)
    All living human being on earth express their opinion through a language. Some meaningful voice makes a language. In all the call center giving service faces many problem when they talk to customer. Sometimes the employee ...
  • Thesis on Lung and Colon Cancer Prediction and detection using Deep Learning 
    Dibosh, Arnob Ghosh (Daffodil International University, 2024-01-01)
    Classification of medical images is essential to the diagnosis of many diseases. This paper presents a thorough analysis of multimodal deep learning fusion methods for problems involving the classification of medical ...
  • Towards an Effective Tomato Leaf Disease Classification Using Modified Transfer Learning Algorithm Based on resnet 50 
    Rahman, Md Ashikur (Daffodil International University, 23-01-29)
    To increase agricultural productivity, plant diseases must be detected early and accurately. The deep learning approach based on artificial intelligence is critical in detecting illnesses utilizing a large volume of plant ...
  • Web-based classification of brain tumor using deep learning 
    Al Noman, Abdullah (Daffodil International University, 2024-01-01)
    Classification of brain tumors is one of the most crucial jobs in medical imaging, and deep learning models have shown promising outcomes when it comes to automation. We provide a thorough analysis of three deep learning ...

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