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Browsing by Subject "Deep learning"

Browsing by Subject "Deep learning"

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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 ...
  • Bangla Handwritten Digit Recognition Using Convolutional Neural Network 
    Rabby, AKM Shahariar Azad; Abujar, Sheikh; Haque, Sadeka; Hossain, Syed Akhter (Advances in Intelligent Systems and Computing, Springer, 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 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 ...
  • A Bangladeshi Road Sign Detection & Recognition System Based on Template matching & Convolutional Neural Network 
    Karim, Md. Ziaul (Daffodil International University, 2021)
    Road Signs are very important but a neglected topic in the discipline of driving vehicles in Bangladesh. As a highly populous country chaos on the road has taken a disastrous shape over the past decade as the number of ...
  • Bengali Abstractive Text Summarization Using Sequence to Sequence RNNs 
    Talukder, Md Ashraful Islam; Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Faisal, Fahad; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-07-08)
    Text summarization is one of the leading problem of natural language processing and deep learning in recent years. Text summarization contains a condensed short note on a large text document. Our purpose is to create an ...
  • Bengali Named Entity Recognition 
    Rifat, Md Jamiur Rahman; Abujar, Sheikh; Noori, Sheak Rashed Haider; Hossain, Syed Akhter (2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2019-07-08)
    Sequence labeling is a complex task in natural language processing where the data set used to be biased to a specific class mainly to “not named entity” class. Previously several machine learning approaches were harnessed ...
  • 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 ...
  • Bengali News Headline Generation on the Basis of Sequence to Sequence Learning Using Bi-Directional RNN 
    Masum, Abu Kaisar Mohammad; Islam, Md. Majedul; Abujar, Sheikh; Sorker, Amit Kumer; Hossain, Syed Akhter (Scopus, 2021)
    The newspaper provides significant information every day. Each news describes every event largely, but the headline contained a summary of the news. A meaningful headline is very good for a reader who can understand the ...
  • A Bengali Text Generation Approach in Context of Abstractive Text Summarization Using RNN 
    Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Islam, Md. Sanzidul; Faisal, Fahad; Hossain, Syed Akhter (Lecture Notes in Networks and Systems, Springer, 2020-03-04)
    Automatic text summarization is one of the mentionable research areas of natural language processing. The amount of data is increasing rapidly, and the necessity of understanding the gist of any text is just a mandatory ...
  • Brain MRI Classification for Alzheimer’s Disease Based on Convolutional Neural Network 
    Saiful, Md.; Saha, Arpita; Mim, Faria Tabassum; Tasnim, Nafisa; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-20)
    Alzheimer’s disease is a severe disorder of the brain that gradually increases and affects the function of the brain. It mainly affects middle-aged people or old aged person. Many researchers tried to train their model to ...
  • 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 ...
  • Brain Tumor Detection by Kapton Polyimide Based On-Body Patch Antenna in K Band 
    Eshan, Sumit Hassan; Hasan, Raja Rashidul; Sarker, Abdullah Al Mamun; Zabin, Sadia; Tusher, Raja Tariqul Hasan; Rahman, Md. Abdur (IEEE, 2023-03-21)
    This paper is all about to design an antenna for brain tumor detection using a novel material Kapton polyimide. A brain tumor, which has the potential to spread throughout the body and result in cancer, is one of the worst ...
  • BrainNet-7 
    Rashid, Md. Harun-Or; Akter, Salma; Akhi, Amatul Bushra (Daffodil International University, 2022-01-20)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...
  • Brainnet-7: A CNN Model for Diagnosing Brain Tumors From MRI Images Based on an Ablation Study 
    Rashid, MD Harun or; Akter, Salma (Daffodil International University, 23-01-29)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...
  • Breastnet18 
    Montaha, Sidratul; Azam, Sami; Muhammad Rakibul Haque Rafid, Abul Kalam; Ghosh, Pronab; Hasan, Md. Zahid; Jonkman, Mirjam; De Boer, Friso (Biology, 2021-11-13)
    Background: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous ...
  • ChatGPT and Global Public Health: Applications, Challenges, Ethical Considerations and Mitigation Strategies 
    Parray, Ateeb Ahmad; Inam, Zuhrat Mahfuza; Ramonfaur, Diego; Haider, Shams Shabab; Mistry, Sabuj Kanti; Pandya, Apurva Kumar (Elsevier, 2023)
    The advancement of deep learning and artificial intelligence has resulted in the development of state-of-the-art language models, such as ChatGPT. This technology can analyze large amounts of data, identify patterns, and ...
  • 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 Histopathological Image for Predication of Breast Cancer Using Pre-Trained Resnet 50 Model 
    Raha, Rabeya Tasnin (Daffodil International University, 2023-10-08)
    One of the most common and deadly types of cancer that affects women globally is breast cancer. Accurate diagnosis and early detection are essential for enhancing patient outcomes. Recent developments in deep learning and ...
  • Classifying Pepper Disease based on Transfer Learning 
    Haque, Imdadul; Islam, Md. Ashiqul; Roy, Koushik; Rahaman, Md. Mizanur; Shohan, Abdul Alim; Islam, Md. Saiful (Daffodil International University, 2022-06-25)
    Pepper is cultivated all over the world and many farmers' subsistence depends on these crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on a huge loss because of the low production ...

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