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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • Rudro, Mahafozur Rahman; Wahid, Md Faysal; Islam, Md Ariful; Ria, Nushrat Jahan (Daffodil International University, 2023-08-03)
    LSTMs are a type of RNN cell that regulates incoming and outgoing information using text-processing-specific gates. Online retailers, as we all know, have been extremely popular in recent years. Many social media sites, ...
  • Samrin, Nishat Ahmed; Suzan, Md. Mahmudul Hasan; Hossain, Md. Selim; Mollah, Mohammad Sarwar Hossain; Haque, Md. Dulal (Daffodil International University, 2022-01-31)
    The globe has reached a critical juncture in the last recent years. According to data we collected from an official internet source, Bangladesh recorded 913,258 confirmed cases, 14,646 death cases with a 1.60% mortality ...
  • Das, Rajesh Kumar; Sammi, Samrina Sarkar; Kobra, Khadijatul; Ajmain, Moshfiqur Rahman; khushbu, Sharun Akter; Noori, Sheak Rashed Haider (Springer, 2023-04-17)
    In many languages, various language processing tools have been developed. The work of the Bengali NLP is getting richer day by day. Sentence pattern recognition in Bangla is a subject of attention. Additionally, our ...
  • Hoque, Md. Tazimul; Islam, Ashraful; Ahmed, Eshtiak; Mamun, Khondaker A.; Huda, Mohammad Nurul (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Vector or numeric representation of text documents has been a revolution in natural language processing as it represents similar parts of text in such a way that they are very close to each other, making it very easy to ...
  • Adnan, Rana Muhammad; Dai, Hong‑Liang; Mostafa, Reham R.; Islam, Abu Reza Md. Towfiqul; Kisi, Ozgur; Elbeltagi, Ahmed; Kermani, Mohammad Zounemat (Springer, 2023-04-08)
    Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood ...
  • Siddique, Nazmul; Arefin, Mohammad Shamsul; Kaiser, M Shamim; Kayes, ASM (Chapman & Hall, 2023-06-12)
    We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays ...
  • Rahman, Md. Atikur; Rahman, M.A.; Nafiz Akbar, O.; Assaduzzaman, M. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    Weather plays an important role in our daily life. Every year, we face different types of weather conditions. So accurate weather prediction will be a great sign for us to live well. Now, the weather has an impact on the ...
  • Raju, S. M. Taslim Uddin; Sarker, Amlan; Islam, Md. Milon; Al-Rakhami, Mabrook S.; Al-Amri, Atif M.; Mohiuddin, Tasniah; Albogamy, Fahad R. (Daffodil International University, 2022-02-25)
    This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ...
  • Roy, Anirban; Mim, Mehnaz Rashid (IEEE, 2023-11-23)
    After the headway of the computerized structure, Information science hopes to be a fundamental part here. Information science stores and investigates information of various sorts of banks, foundations, workplaces and others. ...
  • Hasan, Md. Mehedi; Zahara, Muslima Tuz; Sykot, Md. Mahamudunnobi; Nur, Arafat Ullah; Saifuzzaman, Mohd.; Hafiz, Rubaiya (IEEE, 2020-07)
    Rice is the most grown crop in Bangladesh. It is consumed as the main food course in Bangladesh. The price of rice makes a difference in whether people will eat or starve. To know what's going to happen in the rice market ...
  • Hasan, K. M. Zubair; Datta, Shourob; Hasan, Md Zahid; Zahan, Nusrat (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Linear Discriminant Analysis (LDA) is an easy and efficient method for pattern classification, while it is also broadly utilized for the initial discovery of diseases using Electronic Health Records (EHR) data. Nonetheless, ...
  • Hasan, K. M. Zubair; Hasan, Md Zahid; Zahan, Nusrat (5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IEEE, 2019-07-12)
    Phishing is one of the ruinous issues encountered by the World Wide Web (WWW) and steers to the financial catastrophes for individuals and businesses. It has been perpetually a perplexing issue to identify phishing attacks ...
  • Al Halbusi, Hussam; Alhaidan, Homoud; Ramayah, T.; Cheah, Jun- Hwa (Daffodil International University, 2022-09-21)
    Machine learning has already been used as a resource for disease detection and health care as a complementary tool to help with various daily health challenges. The advancement of deep learning techniques and a large amount ...
  • 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 ...
  • 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 ...
  • Victor, Debasish Bhattacharjee; Latif, Subhenur (2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    Today's world faces many problems with crime, affecting the day to day livings and bringing general socio-economic progress to a standstill.. Different types of crimes happen daily and nightly. If it cannot be carefully ...
  • Das, Sajib; Arman, Md. Shohel; Hossain, Syeda Sumbul; Islam, Md. Sanzidul; Himu, Farhan Anan; Shakir, Asif Khan (Springer, 2020-07-30)
    Stock price forecasting, is one of the most significant financial complexities, since data are not reliable and noisy, impacting many factors. This article offers a machine learning model for the stock price prediction ...
  • Rabeya, Tapasy; Khatun, Eshita; Noori, Sheak Rashed Haider; Akter, Sharmin; Jahan, Israt (Springer Nature Limited, 2022-11-14)
    Nowadays, online platform has become one of the most popular media to express people’s thought of all ages. That made the online platform a precious source for getting almost every kinds of information. As online shopping ...
  • Hasan, Shakibul; Nadif, Mohammad Abu; Rahman, Nasim Bin; Rana, Masud (IEEE, 2023-05-15)
    The research project is mainly based on image classification. We also showed a path to Optical Character Recognition. Optical Character Recognition (OCR) is basically a technology which can change over a computerized image ...
  • Khatun, Johura; Azad, Tamanna; Seaum, Samin Yeasar; Jabiullah, Md. Ismail; Habib, Md. Tarek (IEEE, 2020-11)
    Betel nut addiction has become a psychoactive addiction to hundreds and millions of people around the world. Among the four common hallucinatory addictions in the world, betel nut addiction is one of them after tobacco, ...

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