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Browsing Project Report by Subject "Deep Learning"

Browsing Project Report by Subject "Deep Learning"

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  • An Advanced Deep Learning Approach to Detect Water Lily 
    Jamshed, Mahtab (Daffodil International University, 23-01-29)
    This project is titled “to detect water lily using deep learning” the traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background of flowers ...
  • Automated Detection Leukemia Subtype Classification from Microscopic Images: A Convolutional Neural Network Approach 
    Lubna, Sheikh Bodrun Nesa (Daffodil International University, 2024-01-25)
    Leukemia is a difficult type of blood cancer which can present in a combination of multiple types, that had individual cellular and genetic abnormalities. The prevalent forms of leukemia include Acute lymphocytic leukemia ...
  • Bangla E-Mail Body to Subject Generation Using Sequence to Sequence RNNs 
    Talukder, Moyin; Alim, Md. Samiul (Daffodil International University, 22-09-13)
    The development of subjects has become one of the major problems facing deep learning and natural language processing in recent years. A brief comment on a lengthy email body is condensed in the subject generation. Our ...
  • Bangladeshi Fresh-Rotten Fruit & Vegetable Detection Using Deep Learning Deployment in Effective Application 
    Hamim, Md.Abrar; Tahseen, Jeba (Daffodil International University, 22-09-13)
    Growing fruit and vegetables has long been a component of Bangladeshi agricultural methods. Today's rapidly changing our farming techniques for cultivate fruits and vegetables. Because our country's farmers now grow all ...
  • Classifying Kidney Disease Using Deep Learning Algorithmsr 
    Akter, Amina (Daffodil International University, 23-01-29)
    Deep learning algorithms in clinical imaging for the kidney in stomach computed tomography (CT) images have been constrained. Due to this, our main goal is to apply deep learning models along with a suggested training ...
  • Deep Learning Approaches to Predict Future Frames in Videos 
    Al Mukul, Abdullah; Tonmoy, Mahtab Mashuq (Daffodil International University, 23-02-18)
    Across several fields of computer vision, deep learning methods are gaining importance. While there have been several research on the categorization of pictures and movies, prediction of the coming frames of an input ...
  • Detection and Classification of Road Damage Using Deep Learning Approach With Smart Phone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Mitu, Sumaia Zannat (Daffodil International University, 23-01-29)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labor-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • Drumstick Leaf Detection by Machine Learning Approach 
    Nasrullah, Md (Daffodil International University, 23-01-29)
    This project titled “Drumstick Leaf Detection by Machine Learning Approach “. The traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • A Fine Tune VGG16 Model Based on Ablation Study for Diagnosing Brain Tumor from MRI Images 
    Islam, Rakibul (Daffodil International University, 23-01-29)
    Brain tumor recognition by magnetic resonance imaging (MRI) is crucial because it improves survival rates and allows them to plan treatments accordingly. The patient is at risk if a tumour in the brain, which is made up ...
  • A Machine Learning and Deep Learning Approach for Bengali News Headline Categorization 
    Akter, Labony; Zaman, MD Shahriar (Daffodil International University, 23-01-29)
    Internet is a thing through which a huge amount of information and data is available. As the amount of online news is increasing drastically due to the availability of internet in all parts of the world, people are also ...
  • Multi Head Text Mining Applying Deep Learning and Bangla NLP Using COVID-19 Feedback From Students 
    Kobra, Khadijatul; Sammi, Samrina Sarkar (Daffodil International University, 23-02-12)
    The COVID-19 epidemic bound administration all around the globe to lock down their frontier, their companies, their schools, and citizens from leaving their houses unless absolutely required. The mental health of both ...
  • 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 ...
  • 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 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 ...
  • 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 ...
  • 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 ...

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