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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Neural networks"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Neural networks"

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  • Cow Disease Recognition Using Convolutional Neural Network 
    Mahfuzullah, Md.; Bin Hasan, Asif (Daffodil International University, 2022-01-04)
    In the South Asian region, cow illness is a regular occurrence. Every season, poor rural residents, as well as dairy farm owners, face the same issue. Dairy farming is a large and developing agricultural sector in ...
  • A Deep Learning Approach To Reduce Brain Cancer by Detecting and Localizing Tumor From Brain MRI Images 
    Khan, S. M. Ishtiaque Ahammed; Akter, Mst. Marium; Arefin, Abu Shahed Shah Md. Nazmul (Daffodil International University, 22-09-12)
    In terms of the neurological system, the brain is fundamental. A brain tumor is a growth or mass of abnormal tissue in the brain. And it's not uncommon for this to prove fatal. When a brain tumor is detected early, it can ...
  • Deep Learning Based Dragon Fruit Classification 
    Hossen, Md. Sazzat; Momenin, Md. Ashraful; Islam, Israt (Daffodil International University, 2022-01-05)
    The dragon fruit is now widely grown all over the world. Its popularity is growing as a result of its nutritious benefits. The predominant colors are red and white. However, because it appears to be the same from the ...
  • 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 ...
  • Detection of Breast Cancer from Ultrasound Imaging using Deep Learning Model 
    Raz, Maruful Islam; Akter, Sharmin (Daffodil International University, 23-02-18)
    The second most common cause of mortality for women is breast cancer. Female death rates can be decreased if breast cancer is found early. For early cancer detection, an automated system is needed because manual breast ...
  • Detection of Breast Cancer using Deep Learning Approach 
    Saha, Badhan (Daffodil International University, 23-01-29)
    Breast cancer is a disease in which cells in the breast grow out of control. In Bangladesh the rate of breast cancer occurrence is estimated to be 22.5 per 100,000 females of all ages. In case of Bangladeshi women, aged ...
  • Detection of Potato Diseases using Deep Learning 
    Hossain, Md. Jaber; Hasan, Md. Mahedi; Sikder, Md. Sajib (Daffodil International University, 2021-05)
    Potato is one of the essential foods and root vegetables in the world and is also the staple food in some different nations. Globally It is the fourth-largest food and now the seventhlargest growing food in Bangladesh. ...
  • Development of Home Automation System Using Voice Command 
    Hossain, Shahriar; Rahman, Asifur (Daffodil International University, 23-02-12)
    Home automation system has gained popularity nowadays. Considering this, we have developed a home automation system based on voice control. There are many advanced voice-controlled home automation systems like “Alexa” from ...
  • Flow-Based Network Intrusion Detection System Using Decision Tree Over Big Data 
    Rahman, Afroza; Jame, Tanjina Akter; Amin, Al (Daffodil International University, 23-01-29)
    In computer networks with constantly increasing traffic volumes, flow-based NIDS is the best option for detecting intrusion attempts. In recent years, different machine learning algorithms have been used to detect intrusions ...
  • 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 ...
  • Gerbera Flower Detection by Machine Learning Approach 
    Islam, Hasibul (Daffodil International University, 23-02-12)
    Gerbera species from South Africa were formally recognized for the first time in 1889. It is now protected in its native habitats across the tropics. The flower has become a common ornament for backyard gardens in many ...
  • Handwritten Signature Detection using Deep Learning Approach 
    Bhuiyan, M.H. Mobin; Akter, Sumi (Daffodil International University, 23-01-29)
    Signature verification is a type of biometric technology that is widely used for personal identification. In many commercial circumstances, such as the payment of a bank check, the signature verification procedure is based ...
  • 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. ...
  • Machine Learning Approach To Classify Mango 
    Al Asif, Abu Abdullah; Rahman, MD Habibur (Daffodil International University, 23-01-29)
    Our research titled "Machine Learning Approach To Classify Mango" is focusing the people not recognize mango species. Our work images in this research use deep learning, also known as machine learning. Python is used as a ...
  • Multicalss Brain Tumor Recognition Using Convolutional Neural Network 
    Jony, Jahid Hasan (Daffodil International University, 23-01-29)
    Day by day the use of computers is increasing everywhere. Computer science is already widely used in the medical field. Brain tumor diagnosis can be performed using computer vision. This research applied several algorithms ...
  • Mushroom Classification Using Convolutional Neural Network 
    Habib, Julfikar; Sarker, Shaswatee; Pau, Toma Rani (Daffodil International University, 2022-01-02)
    Mushroom is a type of fungi. Nowadays it has become one of the world-wide nutrient’s foods on the plant. We can cultivate mushroom for medicine, health food and for other purpose. Mushrooms are also used in medical center ...
  • Neural Network Based Face Recognition System for Students 
    Tushar, Shrijon Deb; Durjoy, Md. Alimozzaman; Bristy, Anika Hossain (Daffodil International University, 2021-12)
    Face recognition systems are part of biometric information processing. Face recognition is easier to apply and requires a longer work area than scanning fingerprints, irises, signatures, etc. Due to the variety of facial ...
  • Newspaper’s Editorial Opinion Prediction in Sentiment Analysis Using Deep Learning Methods 
    Momtaj, Mst. Anika; Mahmud, Md. Shihab; Saha, Uchchhwas (Daffodil International University, 2022-01-04)
    Sentiment analysis is a computational method that uses preliminary emotion analysis to retrieve feelings and key phrases from various texts (e.g., Positive, Negative, Neutral). It’s necessary to extract useful information ...
  • Plant Leaf Disease Recognition Using Convolutional Neural Network 
    Hena, Jannatul Mawa; Nasir, Novana (Daffodil International University, 2022-06-12)
    Plants are really important for the planet and for all living things and the leaf produces food for the plant by photosynthesis. Also our country, Bangladesh, is an agriculture dependent country. So to save our plants ...
  • 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 ...

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