DSpace Repository

Browsing Project Report by Subject "Deep learning"

Browsing Project Report by Subject "Deep learning"

Sort by: Order: Results:

  • An Advanced Method of Identifying Fresh and Rotten Fruits Using Deep Learning 
    Miah, Md. Sohel; Tasnuva, Tayeeba (Daffodil International University, 2021-05)
    Fruit classification is crucial in a variety of industries. This hierarchy aids sellers in various supermarkets in identifying fruit species and, as a result, impacts prices. The classification procedure makes it simple ...
  • Analysis of Skin Cancer feature pattern using GNN incorporating a Novel segmentation method. 
    Akter, Morium (Daffodil International University, 2024-07-13)
    This study presents a comprehensive approach for the classification of skin lesions into benign and malignant categories using a combination of k-means clustering segmentation and advanced computational models. The ...
  • Automated Attendance System Using Deep Learning 
    Al-Mahmud, Zubayer (Daffodil International University, 2021-06-03)
    In this modern age Attendance System becomes automated thanks to time saving, efficient and useful method decreasing administration’s and organization’s strain. Attendance system is important to classroom evaluation, ...
  • An Automated CNN Model Based Approach for Apple Leaf Disease Detection 
    Nazneen, Nafisa; Tahera, Khadija Tut (Daffodil International University, 23-02-08)
    This study presents a deep learning approach for the detection of diseases in apple leaves. The method utilizes convolutional neural networks (CNNs) to classify apple leaf images into diseased and healthy categories. The ...
  • Automatic Detection and Recognition of Fish to Help Visually Impaired People 
    Raihan, Ashif; Monju, Md. Zahed Hossain (Daffodil International University, 2021-06)
    This paper explores fish identification for blind people utilizing multi-image recognition including deep learning techniques. Our system was built using Speech Recognition to support blind people in knowing about various ...
  • Automatic Emotion Detection From Bangla Text Using Deep Learning Approach 
    Tafannum, Anika; Nodi, Ismatara (Daffodil International University, 23-02-12)
    Emotion recognition involves identifying and interpreting the emotions of an individual, which can be conveyed through facial expressions, verbal communication, or written text. Bengali, a low-resource language, has seen ...
  • Bangla Fake News Detection Using Machine Learning and Deep Learning Methods 
    Tusher, Shakib Ahmed; Shawan, Md.Shameem Alam; Akter, Mst.Farhana (Daffodil International University, 2022-01-04)
    Fake news detection is as important as cleaning crime from the society. In this digital era spreading violence and manipulating people deception towards an issue become very easy than ever. More and more authentic news ...
  • 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 ...
  • Bangladeshi Shrimp Species Recognition By Deep Convolutional Neural Network 
    Ahmmed, Md. Sujan (Daffodil International University, 2024-07-13)
    Shrimp, the most popular shellfish in Bangladesh, is rich in a variety of nutrients, giving it a great nutritional value. Some examples of such substances include iodine, protein, minerals, and vitamin D. This shellfish ...
  • Bengali Named Entity Recognition Using Deep Learning 
    Lima, Khadija Akter; Asadujjaman, Md. (Daffodil International University, 2021-05-05)
    Named Entity Recognition (NER) is considered fundamental for extracting information in Natural Language Processing (NLP), and this task aims to classify each word of a text document into a list of predefined named entity ...
  • Brain Tumor Analysis Using Deep Neural Network 
    Khan, Iftekhar; Ahsan, Kuheli (Daffodil International University, 2021-05)
    The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys ...
  • Brain Tumor Detection and Classification Using Deep Learning From Magnetic Resonance Images 
    Molla, Shourav; Azam, MD. Ali (Daffodil International University, 23-01-29)
    Brain tumors are the most conventional and aggressive illness and have an extremely low life expectancy in its most severe form. Uncontrolled growth as well as proliferation of skull cells results in the formation of brain ...
  • Classification of bird species using deep learning 
    Apu, Md Sharifuzzaman (Daffodil International University, 2024-01-01)
    Many bird species are rare to find these days, and even when they are, it might be difficult to classify them. For example, birds have different sizes, shapes, and colors depending on the situation, and they also have ...
  • Classification Of Rice Leaf Disease Through Image Analysis And Deep Learning 
    Shakib, Md Nazmus (Daffodil International University, 2024-07-24)
    This work presents a comprehensive deep learning method for precise and effective disease prediction of rice leaves. With Convolutional Neural Networks (CNN), I developed a model that outperforms conventional methods for ...
  • Comparative Analysis of Multiple Pretrained CNN Models To Identify Human Brain Tumor Through Deep Learning. 
    Bhuiyan, Yeasin; Al Noman, MD Abdullah; Afrose, Sadia (Daffodil International University, 23-03-01)
    The tumor of brain is a severe disease condition caused by uncontrolled and improper cell division. One of the most deadly and severe cancers that can affect both adults and children is the brain tumor. Timely and precise ...
  • A Comparative Study between Bangla-English Languages on Question-Answer Using LSTM Based Attention Mechanism 
    Nabi, Nusrat; Islam, Sumiya; Siddiquee, Sakib Ahmad; Al Hossain, Syed Rakib (Daffodil International University, 2021-12-05)
    Recently, breakthroughs of NLP research have improved a range of activities, most notably the Question Answering System for many languages. Since the last few years, question answering (QA) systems have grown at a breakneck ...
  • A Comparative Study between Machine and Deep Learning Models for the Prediction of Bank Credit Recovery 
    Tahmid, Nazre Imam; Haque, Nasimul; Faruque, Md. Umar (Daffodil International University, 2022-01-04)
    Nowadays, technology is advancing rapidly. With the advancement of technology, many institutions are adapting their business with new technologies. Institutions have huge amounts of data about the employers and clients. ...
  • A comparative study of cow species classification using deep learning techniques 
    Aupo, Sakibul Islam (Daffodil International University, 2024-01-01)
    Deep learning replicate human brain to help the system to solve complex problem like identifying object. In this researched based project, we used deep learning to identify cow species. To know something, human often ...
  • A Convolutional Neural Network Model for Prediction of Paddy Crop Disease 
    Opy, Md. Ahasanul Kobir; Alom, Md. Shahin (Daffodil International University, 23-03-01)
    Rice is a dietary staple all through Indian Subcontinent, notably in Bangladesh. The staple food consumed by 130 million people in Bangladesh is rice. To feed its 130 million people, Bangladesh currently produces 25 million ...
  • DCNN-Based Vegetable Image Classification Using Transfer Learning 
    Ahmed, M. Israk; Mamun, Shahriyar Mahmud (Daffodil International University, 2021-06)
    In this paper, an attempt is addressed towards accurate vegetable image classification. A dataset consisting of 21,000 images of 15 classes is used for this classification. Convolutional neural network, a deep learning ...

Search DSpace


Browse

My Account