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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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  • 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 ...
  • 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, ...
  • 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 ...
  • Tomato Leaf Diseases Classification Using Convolutional Neural Network 
    Sayem, Kazi Abu; Nayem, MD.; Chakma, Kajali; Hasan, A.S.M Monirul (Daffodil International University, 23-01-29)
    Rapid and precise disease detection can considerably boost the sustainable agricultural yield of tomato plants. The conventional method allows for human agricultural professionals to recognize irregularities in tomato ...
  • Traffic Recognition System Using Machine Learning Approach 
    Adnan, Md. Al Sharid; Liza, Most. Tajmin Akter; Biswas, Tanmay (Daffodil International University, 2022-01-02)
    Our paper is about Traffic Recognition System Using Machine Learning approach. The Artificial Intelligence is maintaining a notable development for overcome the gap among the deftness of human being and machine. The ...
  • Trend Analysis with Twitter Hashtags 
    Shams, Monjur Bin; Hossain, Md. Junaed (Daffodil International University, 2019-12)
    Social media has converged into our everyday life in such a way that from lifestyle to our behaviors, we follow the social media immensely. The influence of social media is easily observable whenever any ‘TREND’ occurs ...
  • VA: Vision Actualization a Novel CNN Model for Human Iris Color Detection Using Deep Learning 
    Sany, Md. Mahadi Hasan; Shamim, Md. Jahid Hasan; Alam, Md. Ikhtiar (Daffodil International University, 2022-01-05)
    By evaluating the trained dataset, a deep learning model produces astonishing results for image processing. A Deep learning method has been utilized in our research to automatically identify iris color, and this system ...
  • Vehicle Classification Using Convolutional Neural Network 
    Shaikh, Toushiat; Ahammad, Nasir; Rahman, Sumaya (Daffodil International University, 2019-12)
    Convolutional Neural Network (CNN), a class of artificial neural network that has gotten to be most well known in a few computer vision assignment. In this work, we will presents convolutional neural organize for classifying ...
  • 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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