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Browsing by Subject "Deep Learning"

Browsing by Subject "Deep Learning"

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  • Abstractive Method of Text Summarization with Sequence to Sequence RNNs 
    Masum, Abu Kaisar Mohammad; Rabby, AKM Shahariar Azad; Talukder, Md. Ashraful Islam; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2019-07-08)
    Text summarization is one of the famous problems in natural language processing and deep learning in recent years. Generally, text summarization contains a short note on a large text document. Our main purpose is to create ...
  • An advanced deep learning approach for predicting liver cirrhosis 
    Sohag, Sohanur Rahman (Daffodil International University, 2024-01-01)
    This study provides an advanced deep learning method for predicting liver cirrhosis using a Kaggle dataset of 615 entries with a target attribute "Liver Cirrhosis Status" that classifies answers as 'Yes' (75 cases) or ...
  • An Advanced Deep Learning Approach to Detect Water Lily 
    Jamshed, Mahtab (Daffodil International University, 23-01-29)
    This project is titled “to detect water lily using deep learning” the traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background of flowers ...
  • Analysis of Bangladeshi People's Emotion during Covid-19 in Social Media Using Deep Learning 
    Pran, Md. Sabbir Alam; Bhuiyan, Md. Rafiuzzaman; Hossain, Syed Akhter; Abujar, Sheikh (IEEE, 2020-07)
    World is passing through a very uncertain circumstance as Coronavirus becoming a great threat. Staying in home is the best solution now to be safe. People are now passing their most of the time in social platform. They're ...
  • An Approach for Bengali Automatic Question Answering System using Attention Mechanism 
    Bhuiyan, Md. Rafiuzzaman; Masum, Abu Kaisar Mohammad; Abdullahil-Oaphy, Md.; Hossain, Syed Akhter; Abujar, Sheikh (IEEE, 2020-07)
    Question answering is a set of tools for obtaining detailed answers from user questions. At present, it is gaining very popularity day by day in the area of NLP research. There is a lot of work done in English. Still, ...
  • Automated Detection Leukemia Subtype Classification from Microscopic Images: A Convolutional Neural Network Approach 
    Lubna, Sheikh Bodrun Nesa (Daffodil International University, 2024-01-25)
    Leukemia is a difficult type of blood cancer which can present in a combination of multiple types, that had individual cellular and genetic abnormalities. The prevalent forms of leukemia include Acute lymphocytic leukemia ...
  • Automated Methods To Detect and Classify Lung & Colon Cancer Using Image Processing and Deep Learning Algorithm 
    Huda, Nesma (Daffodil International University, 23-01-29)
    One of the most hazardous and severe diseases that people experience globally is colon and lung cancer, which has spread to become a common medical issue. It is very important to make a reliable and early discovery to ...
  • Bangla E-Mail Body to Subject Generation Using Sequence to Sequence RNNs 
    Talukder, Moyin; Alim, Md. Samiul (Daffodil International University, 22-09-13)
    The development of subjects has become one of the major problems facing deep learning and natural language processing in recent years. A brief comment on a lengthy email body is condensed in the subject generation. Our ...
  • Bangla Music Genre Classification Using Neural Network 
    Al Mamun, Md. Afif; Kadir, Imamul; Rabby, AKM Shahariar Azad; Al Azmi, Abdullah (IEEE, 2019-11)
    Music genre classification is very vital for music recommendation and for the retrieval of music information. So many works have already been done for classifying genres of English music using different machine learning ...
  • Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach) 
    Jubaer, A.N.M.; Sayem, Abu; Rahman, Md. Ashikur (IEEE, 2019-11)
    Toxic comment classification problem is a popular classification problem nowadays. There are many attempts in English but it's rare in Bangla language. We tried to build a classifier for Bangla language. We tried different ...
  • Bangladeshi Fresh-Rotten Fruit & Vegetable Detection Using Deep Learning Deployment in Effective Application 
    Hamim, Md.Abrar; Tahseen, Jeba (Daffodil International University, 22-09-13)
    Growing fruit and vegetables has long been a component of Bangladeshi agricultural methods. Today's rapidly changing our farming techniques for cultivate fruits and vegetables. Because our country's farmers now grow all ...
  • Bangladeshi Local Potatoes Dataset and Classification Using Deep Learning 
    Deb, Shrabosty; Laboni, Marfi Akter; Hena, Most. Hasna (IEEE, 2020-12)
    Potato is one of the major foods in Bangladesh during winter which shows the most environmentally amiable vegetables. Variations of potatoes in Bangladesh that are grown here are extensively categorized into two divisions, ...
  • Bengali Ethnicity Recognition and Gender Classification Using CNN & Transfer Learning 
    Jewel, Md.; Hossain, Md. Ismail; Tonni, Tamanna Haider (IEEE, 2019-11)
    In this paper, we have demonstrated how to apply CNN (Convolutional Neural Network) structured model and transfer learning to identify the ethnicity of Bengali people and it's a systematic process of gender classification ...
  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-24)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...
  • Bengali Question Answering System Using Seq2Seq Learning Based on General Knowledge Dataset 
    Keya, Mumenunnessa; Masum, Abu Kaisar Mohammad; Majumdar, Bhaskar; Hossain, Syed Akhter; Abujar, Sheikh (IEEE, 2020-07)
    Context-based QA system is a leading research area in NLP. An automatic QA system that can respond to the answer, and which is related to the given context. A deep learning-based model provides a more factual result for ...
  • Bone Fractures Classification Using Deep Learning Approaches 
    Uddin, Rahat (Daffodil International University, 2024-01-21)
    Fracture detection in medical imaging is a well-established paradigm. These days, a lot of doctors and other medical professionals utilize computer-aided diagnostic systems (CAD) to assist them diagnose a variety of ...
  • Brain hemorrhage recognition using deep learning approach 
    Shimanto, Sakib Shahariar (Daffodil International University, 2024-01-22)
    This study addresses the use of deep learning techniques, including Inception, ResNet, Xception, AlexNet, and MobileNet, for the identification of brain hemorrhages in medical imaging. Motivated by the crucial need for ...
  • Brain tumor detection from MRI medical images based on machine learning algorithms 
    Omy, Jannatul Faria (Daffodil International University, 2023-12-21)
    This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...
  • Breast tumor detection using deep learning 
    Atikuzzaman, Md. (Daffodil International University, 2024-01-22)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • Cascade Classification of Face Liveliness Detection Using Heart Beat Measurement 
    Rahman, Md. Mahfujur; Mamun, Shamim Al; Kaiser, M. Shamim; Islam, Md. Shahidul; Rahman, Md. Arifur (Scopus, 2021)
    Face detection and recognition is a prevalent concept in security and access control area which is commonly used in surveillance cameras at public places, attendance etc. But often this type of system can be circumvented ...

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