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Browsing by Subject "Convolutional neural network"

Browsing by Subject "Convolutional neural network"

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  • Bangla Handwritten Digit Recognition Using Convolutional Neural Network 
    Azad, AKM Shahariar; Abujar, Rabby Sheikh; Haque, Sadeka; Hossain, Syed Akhter (Springer Nature Singapore Pte Ltd., 2018-12-12)
    Handwritten digit recognition has always a big challenge due to its variation of shape, size, and writing style. Accurate handwritten recognition is becoming more thoughtful to the researchers for its educational and ...
  • Bangladeshi Bank Note Detection Using Deep Convolutional Neural Network 
    Mukta, Faria Farzana; Kabir, Md. Nieamul; Hossain, Md. Firoz (Daffodil International University, 2022-05)
    This report presents a Bangladeshi Banknote detection system using a Deep Convolutional Neural Network. This project is usually designed for people who do not recognize or cannot see the Bangladeshi banknotes. Visually ...
  • Bangladeshi Local Flower Classification Using CNN 
    Sohan, Ikhtiar Khan; Shuvo, Jahid Hasan; Amin, Ruhul (Daffodil International University, 2021-01-27)
    A very beautiful gift, known to us as a flower, has been sent by our nature. Flowers have given us all kinds of colors and lovely fragrances as well, and only flowers enhance the beauty of our world. The fragrance of the ...
  • Bayanno-net 
    Islam, Mohammad Shakirul; Foysal, Md. Ferdouse Ahmed; Noori, Sheak Rashed Haider (Proceedings of 2019 IEEE Region 10 Symposium, IEEE, 2019-06-07)
    Handwritten digit recognition is one of the most novel topics from last few years. The complexity of recognition handwriting are differ in languages because of their shapes, character numbers and streak. Albeit Bangla is ...
  • Classification of Immunity Booster Medicinal Plants Using CNN 
    Musa, Md.; Arman, Md. Shohel; Hossain, Md. Ekram; Thusar, Ashraful Hossen; Nisat, Nahid Kawsar; Islam, Arni (Scopus, 2021)
    Environment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurveda, Homeopathy and Unani. Experts ...
  • Classification of Immunity Booster Medicinal Plants Using CNN 
    Musa, Md.; Arman, Md. Shohel; Hossain, Md. Ekram; Thusar, Ashraful Hossen; Nisat, Nahid Kawsar (Scopus, 2021)
    Environment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurveda, Homeopathy and Unani. Experts ...
  • Classification of Succulent Plant Using Convolutional Neural Network 
    Das, Ashik Kumar; Iqbal, Md. Asif; Paul, Bidhan; Rakshit, Aniruddha; Hasan, Md. Zahid (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning methods such as deep neural networks have remarkably improved plant species classification in recent years. It is very challenging task to classify plant species based on their categories. In this work, ...
  • Classifying the Usual Leaf Diseases of Paddy Plants in Bangladesh Using Multilayered CNN Architecture 
    Oaphy, Md. Abdullahil-; Bhuiyan, Md. Rafiuzzaman; Islam, Md. Sanzidul (Scopus, 2021)
    More than 130 million people in Bangladesh depend on rice as their main food. Half of the employment of the rural area and the agricultural GDP of Bangladesh depend on rice production. Nearly more than 10 million farmer ...
  • A Convolutional Neural Network Approach to Recognize the Insect 
    Hossain, Md. Imran; Paul, Bidhan; Sattar, Abdus; Islam, Md. Mushfiqul (IEEE, 2020-06-16)
    In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic ...
  • Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 
    Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)
    The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
  • Early Recognition of Betel Leaf Disease Using Deep Learning with Depth-wise Separable Convolutions 
    Hridoy, Rashidul Hasan; Habib, Tarek; Jabiullah, Ismail; Rahman, Riazur; Ahmed, Farruk (2021 IEEE Region 10 Symposium (TENSYMP), IEEE, 2021-10-04)
    Leaf rot and foot rot are the common diseases of betel leaf, cause grievous economic losses to farmers. These diseases should be recognized accurately in the early stage to prevent the expansion of diseases to ensure the ...
  • Genre Recognition of Artworks Using Convolutional Neural Network 
    Hosain, Md. Kamran; Taher, Tasnova Bintee; Rahman, Mohammad Masudur; Rashid, Harun- Ur- (23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2020-12-19)
    Artists always try to express their feelings by creating aesthetic images. These artistic items covered with many untold sensations and unpublished articulation. According to the objects and depicted themes, artworks can ...
  • Handwritten Polynomial Equation Recognition and Simplification Using Convolutional Neural Network 
    Shuvo, Shifat Nayme; Hasan, Fuad; Hossain, Syed Akhter; Abujar, Sheikh (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    Polynomials are algebraic expressions involving a sum of powers in one or more variables multiplied by its coefficients. If x is a variable, a0x n +a1x n-1 +a2x n-2 +....+an then it's a (n) powers polynomial. Human is ...
  • InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games 
    Islam, Mohammad Shakirul; Foysal, Ferdouse Ahmed; Neehal, Nafis; Karim, Enamul; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)
    Sports activities are an integral part of our day to day life. Introducing autonomous decision making and predictive models to recognize and analyze different sports events and activities has become an emerging trend in ...
  • MediNET: 
    Bhuiyan, Md. Rafiuzzaman; Oaphy, Md. Abdullahil-; Khanam, Rifa Shanzida; Islam, Md. Sanzidul (Scopus, 2021)
    Medicine is the only thing by which we use where we feel bad condition of our body’s physical and mental illness. Most of medicines are made of specific plants from our nature. These plants are also known as a medicinal ...
  • Pigeon Breed Recognition Using Convolutional Neural Network 
    Rahman, Maksudur; Prodhan, Sakeef Ameer; Mia, Md. Jueal; Habib, Md. Tarek; Ahmed, Farruk (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contribution to our national economy. Sometimes it's a very tough job for us to recognize pigeon breed correctly because some breed ...
  • Using Deep Learning To Predict Paper Categories Based On Abstracts 
    Nahid, Syed Ahsanul Huque (Daffodil International University, 2024-01-29)
    Academic paper categorization is a criticalstep in the field of information retrieval and information processing. This paper “USING DEEP LEARNING TO PREDICT PAPER CATEGORIES BASED ON ABSTRACTS” proposes a novel approach ...
  • Vehicle-NN- a CNN Based Local Vehicle Detection Classifier 
    Kabir, Umme Fariha; Ali, Abida (Daffodil International University, 2021)
    In this technological era, computer vision accomplishes superior performance and it introduced to the Convolutional neural network (CNN) which is acquainted for recognize an object. In addition to object detection and ...

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