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Browsing Articles by Subject "Deep Learning"

Browsing Articles 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 ...
  • 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, ...
  • 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 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 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 ...
  • 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 ...
  • DCNN-based Vegetable Image Classification Using Transfer Learning: 
    Ahmed, M. Israk; Mamun, Shahriyar Mahmud; Asif, Asif Uz Zaman (2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), IEEE, 2021-06-29)
    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 ...
  • An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Afroz, Maisha; Ferdowsy, Faria (Scopus, 2021)
    The issue of effective plant disease and pest prevention is compactly connected to the issues of sustainable agronomics and climate change. Okra plant diseases and pests cause intense monetary losses to the growing okra ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Proficient Model to Classify Bangladeshi Bank Notes for Automatic Vending Machine Using a Tiny Dataset with One-Shot Learning Siamese Networks 
    Hossain, Md. Ekram; Islam, Arni; Islam, Md. Sanzidul (IEEE, 2020)
    Automatic vending machine is a necessity at this technological era. It's a step to go toward the vendor-less shop management, which supports the commandment of the 4th Industrial Revolution. But image recognition system ...
  • Road Object Detection in Bangladesh Using Faster R-CNN 
    Datta, Anik; Meghla, Tamara Islam; Khatun, Tania; Bhuiya, Mehedi Hasan; Shuvo, Shakilur Rahman; Rahman, Md. Mahfujur (Scopus, 2020)
    The importance of object detection in our lives is increasing day by day. The role of object detection is very important in autonomous cars, intelligent driving assistance, and advanced traffic analysis. In the case of ...
  • SkNet 
    Jeny, Afsana Ahsan; Sakib, Abu Noman Md; Junayed, Masum Shah; Lima, Khadija Akter; Ahmed, Ikhtiar; Islam, Md Baharul (Scopus, 2020)
    Skin Cancer is one of the most common types of cancer. A solution for this globally recognized health problem is much required. Machine Learning techniques have brought revolutionary changes in the field of biomedical ...
  • Transfer Learning in Deep Reinforcement Learning 
    Islam, Tariqul; Abid, Dm. Mehedi Hasan; Rahman, Tanvir; Zaman, Zahura (Daffodil International University, 2022-08)
    Reinforcement learning has quickly risen in popularity because of its simple, intuitive nature and it's powerful results. In this paper, we study a number of reinforcement learning algorithms, ranging from asynchronous ...

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