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Browsing by Author "Prottasha, Nusrat Jahan"

Browsing by Author "Prottasha, Nusrat Jahan"

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  • Bangla Intelligence Question Answering System Based on Mathematics and Statistics 
    Kowsher, Md.; Rahman, M M Mahabubur; Ahmed, Sk Shohorab; Prottasha, Nusrat Jahan (22nd International Conference on Computer and Information Technology, IEEE, 2019-12-20)
    The Bangla Informative Question Answering System (BIQAS) is a significant Machine Learning (ML) technique that helps a user to trace relevant information by Bengali Natural Language Processing (BNLP). In this research ...
  • Deep Fusion of Bi-LSTM Attention Mechanism for the Enchantment of Machine Translation Performance 
    Prottasha, Nusrat Jahan (Daffodil International University, 2021-12-30)
    Language translation is in high demand for a variety of reasons, including business travel and news comprehension, in this modern-day when people are increasingly reliant on technology. Bengali is the world's seventh ...
  • Knowledge-base Optimization to Reduce the Response Time of Bangla Chatbot 
    Kowsher, Md.; Tahabilder, Anik; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan; Sarker, Md. Murad Hossain (2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), IEEE, 2020-01-07)
    Chatbots have been very popular in recent years for being able to serve as a customer representative, a language learner and so forth. Long short-term memory abbreviated as LSTM is a ubiquitous artificial recurrent neural ...
  • Lemmatization Algorithm Development for Bangla Natural Language Processing 
    Kowsher, Md.; Tahabilder, Anik; Sarker, Md Murad Hossain; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan (2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), IEEE, 2020-01-07)
    Natural language processing (NLP) finds enormous applications in autonomous communication, while lemmatization is an essential preprocessing technique for simplification of a word to its origin-word in NLP. However, there ...
  • LSTM-ANN & BiLSTM-ANN 
    Kowsher, Md.; Tahabilder, Anik; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan; Uddin, Md. Shihab; Hossain, Md Arman; Jilani, Md. Abdul Kader (Scopus, 2021)
    Machine learning is getting more and more advanced with the progression of state-of-the-art technologies. Since existing algorithms do not provide a palatable learning performance most often, it is necessary to carry on ...
  • Machine Learning Based Recommendation Systems for the Mode of Childbirth 
    Kowsher, Md.; Prottasha, Nusrat Jahan; Tahabilder, Anik; Islam, Md. Babul (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning method gives a learning technique that can be applied to extract information from data. Lots of researches are being conducted that involves machine learning techniques for medical diagnosis, prediction ...
  • Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm 
    Kowsher, Md.; Tahabilder, Anik; Prottasha, Nusrat Jahan; Rakib, Md. Abdur-; Alam, Md. Shameem; Habib, Kaiser (Scopus, 2021)
    —A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and ...
  • SDSV 
    Kowsher, Md.; Hossen, Imran; Tahabilder, Anik; Prottasha, Nusrat Jahan; Sarker, Md. Murad Hossain; Ahasan, Nazmul; Hoque, Md Imdadul (Scopus, 2021)
    Data classification is one of the most fundamental tasks that can be accomplished by supervised machine learning. There exists a lot of algorithms, and they have the specific case of uses. Different classification methods ...
  • Support Directional Shifting Vector 
    Kowsher, Md.; Hossen, Imran; Tahabilder, Anik; Prottasha, Nusrat Jahan; Habib, Kaiser; Azmi, Zafril Rizal M. (Emerging Science Journal, 2021)
    Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. There are three main domains named supervised, unsupervised, and reinforcement. Supervised learning ...
  • Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning 
    Prottasha, Nusrat Jahan; As Sami, Abdullah; Kowsher, Md.; Murad, Saydul Akbar; Bairagi, Anupam Kumar; Masud, Mehedi; Baz, Mohammed (Daffodil International University, 2022-06-13)
    The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals’ emotions empowers sentiment analysis. However, sentiment ...

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