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Browsing Project Report by Subject "Deep learning"

Browsing Project Report by Subject "Deep learning"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 ...
  • A Deep Learning Approach for Animal Recognition from Animal Image 
    Monjir-Ul-Morsalin, Khandaker; Naznin, Marina (Daffodil International University, 2021-06-02)
    This is a deep learning approach to recognizing animals. We have used images of various domesticated and wild animals. The deep learning procedure instructs machines to detect and bring out the features from images. We ...
  • A Deep Learning Approach for Government Automated Bengali Note Writing Service 
    Islam, Md. Muhaiminul; Islam, Mohiyminul; Yousuf, Md. Abu (Daffodil International University, 2021-05-31)
    The world is undergoing various changes despite the revolution of modern technologies. With the help of automation tools, human tasks are been made very simple and automated. People are adopting Artificial intelligence ...
  • 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 ...
  • Deep Learning Based Sponge Gourd Disease Recognition 
    Mim, Tahmina Tashrif; Chowdhury, Sadia; Akter, Roksana (Daffodil International University, 2019-12)
    Sponge gourd or luffa gourd, called as “ধুন্দলু” in Bangladesh, is scientifically known as Luffa cylindrical that belongs to Cucurbitaceae family. It is one of the most easily found vegetables in Bangladesh. It is edible ...
  • Detection of Bird Species by Image Processing With the Help of Deep Learning 
    Forhad, Nadim Mahamud (Daffodil International University, 2022-01-04)
    These days, countless species of birds are hardly found, besides it is problematic to categorize bird species once found. For instance, for diverse circumstances, birds come with altered dimensions, forms, shades, and ...

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