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Browsing Theses by Subject "Neural networks"

Browsing Theses by Subject "Neural networks"

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  • Apple and Orange Diseases Detection Using Deep Learniing Techniques 
    Faraduzzaman, G M (Daffodil International University, 23-01-18)
    We know that Bangladesh is an agricultural country where almost all people are dependent on agriculture. In today's world where everyone is health conscious, the ability to identify fruits by quality is very important in ...
  • An Application of Deep Transfer Learning To Detect Lychee Leaf Disease 
    Jisan, Tareq Rahman (Daffodil International University, 23-02-18)
    Bangladesh is a primarily agricultural nation. The majority of people depend on agriculture. Our nation of Bangladesh also heavily relies on agriculture. In the current state of affairs, it is crucial that we increase the ...
  • Automated Methods To Detect and Classify Lung & Colon Cancer Using Image Processing and Deep Learning Algorithm 
    Huda, Nesma (Daffodil International University, 23-01-29)
    One of the most hazardous and severe diseases that people experience globally is colon and lung cancer, which has spread to become a common medical issue. It is very important to make a reliable and early discovery to ...
  • Classify blood cell subtypes Using Deep Learning Techniques 
    Luna, Fariha Zannat (Daffodil International University, 23-03-01)
    This work describes a technique for retrieving White blood cells (WBCs) employing blood microscopic images, identifying them, variety of WBC. A new challenge in the medical sector is diagnosing by comparing the number of ...
  • Detecting Brain Tumor Using A Convolutional Neural Network 
    Rokonuzzaman, Md.; Sultana, Mst. Abida; Akhter, Farjana (Daffodil International University, 2019-12-05)
    Nowadays Machine Learning (ML) become most hot topic in the technology world. Newly invented machine with Artificial Intelligence (AI) taking every place of our life. Neural Network may be a modern machine learning field ...
  • Fruit Classification Using Image Processing 
    Boby, Farjana Abedin; Meem, Tanzila Rahman (Daffodil International University, 23-02-18)
    Detection of rotten culmination has become big within the agro-industry. In general, the category of sparkling and rotten fruit isn't always powerful for fruit growers and sporting people. People get worn out after doing ...
  • Lung Disease Classification Using Deep Learning Models Based on Chest X-Ray Images 
    Akter, Runa (Daffodil International University, 23-01-18)
    In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis (TB) cause millions of deaths because they all affect the lungs. ...
  • Plant Species Classification Using Neural Network 
    Anik, Asiqur Rahman; Rabbi, MD. Fazle (Daffodil International University, 23-02-12)
    The task that is done in our project is to classify and identify the species of different plant using neural network. The work is done mainly for removing the problems that arises when classifying different types of plants ...
  • Recognizing Bangladeshi Agricultural Insects Using Machine Learning 
    Akter, Tapsara (Daffodil International University, 23-01-18)
    Recently, some work has been done on agricultural insect recognition. But a limited number of works is done on Bangladeshi agricultural insects. Pests decimate crops on a massive scale each year. To achieve high crop output, ...
  • Vehicle Detection and Classification Using a Deep Learning Approach 
    Sarwar, Saraf Binte; Deep Learning (Daffodil International University, 23-03-01)
    This research proposes a mechanism to detect and classification if a vehicle will be a car or not car that is the mean of vehicle or non-vehicle. The focus of this research vehicle detection and help for traffic violations. ...

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