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Browsing Project Report by Subject "Neural networks"

Browsing Project Report by Subject "Neural networks"

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  • 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 ...
  • 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 ...
  • 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, 23-02-18)
    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 ...
  • Predicting Potato Leaf Diseases with Convolutional Neural Networks 
    Islam, Md. Arafat (Daffodil International University, 2023-09-12)
    Early disease diagnosis in potato leaves is complicated by the wide range of crop types, agricultural disease signs, and environmental factors involved. These problems make it difficult to detect diseases in potato leaves ...
  • Prediction of Typhoid Using Machine Learning and Ann Prior to Clinical Test 
    Bhuiyan, Md. Atik; Rad, Sharaf Shahariare (Daffodil International University, 23-01-29)
    Typhoid fever is a serious and potentially fatal illness that causes a large number of deaths each year, particularly in developing countries. Early and accurate diagnosis is essential for effective treatment and to ...
  • A Robust Transfer Learning Based Model To Predict Diabetic Retinopathy 
    Mukti, Sanzida Akter (Daffodil International University, 23-03-01)
    Millions of people throughout the world are affected by the disease known as diabetic retinopathy each year. As DR disorders can have a significant impact on patients' eyes and quality of life, early disease diagnosis is ...
  • Skin Cancer Detection & Classification Using Machine Learning 
    Hossain, Ahsanul; Islam, Iftakharul (Daffodil International University, 23-01-29)
    Our work topic is skin cancer detection and its type detect. For that we are using CNN (Conventional Neural Network) specially confusion matrix and auc-matrix. Which actually able to detect the accuracy. Achieving a ...
  • Species Identification and Classification of Rose Flower Images Using Convolutional Neural Network and K-Means Clustering Algorithm 
    Islam, Md. Nafiul (Daffodil International University, 2022-01-02)
    The proposed work in this presented paper aims to identify and classify the rose species from the rose image. In my research title “Species Identification and Classification of Rose Flower Images Using Convolutional ...
  • Stock Market Prediction of Bangladesh Using Multivariate LSTM with Sentiment Identification 
    Islam, Md. Ashraful; Sikder, Md. Rana; Ishtiaq, Sayed Mohammed (Daffodil International University, 23-01-29)
    Stock market prediction is always challenging due to its volatile and dynamic movement. Apart from the technical factors, many external factors make it more difficult to predict the stock market of a developing country ...
  • Street Food Detection of Bangladesh Using Deep Learning 
    Aditi, Oyshi Tabassum; Banu, Beauty; Mim, Mehnaz Rashid (Daffodil International University, 2021-12-04)
    Street food demand is increasing day by day in Bangladesh. It has yummy tastes, easily accessibility, low price, easily made, easy to available, attraction to the foods, and above all, needs of the street people. There ...
  • Sugarcane Plant Disease Detection Using Deep Learning 
    Mazumder, Sadia Sultana; Monowar, Abdullah (Daffodil International University, 2022-01-04)
    Bangladesh is an agricultural country and the economy of Bangladesh is dependent on agriculture. Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Sugarcane plant disease ...
  • Tea-leaf Disease Identification Using Machine Learning 
    Paul, Apurbo Kumar (Daffodil International University, 2022-01-02)
    Tea plants have a lengthy lifespan, which makes disease management challenges. Tea leaves are commonly afflicted by bacterial, viral, or fungal infections, which significantly decrease tea production. Identifying disease ...
  • Time Series Analysis of Stock Price Prediction Using Hybrid Deep Learning Neural Network 
    Lemu, Jannatul Ferdaus (Daffodil International University, 23-01-29)
    The motive behind researching on “TIME SERIES ANALYSIS OF STOCK PRICE PREDICTION USING HYBRID DEEP LEARNING NEURAL NETWORK” is to explore the thoroughness of the historical financial data of a stock suffice to make cabbalistic ...

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