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Browsing Articles by Author "Abujar, Sheikh"

Browsing Articles by Author "Abujar, Sheikh"

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  • A Continuous Word Segmentation of Bengali Noisy Speech 
    Hossain, Md. Fahad; Hasan, Md. Mehedi; Ali, Hasmot; Abujar, Sheikh (Springer, 2020-11-28)
    Human voice is an important concern of efficient and modern communication in the era of Alexa, Siri, or Google Assistance. Working with voice or speech is going to be easy by preprocessing the unwanted entities when real ...
  • A Continuous Word Segmentation of Bengali Noisy Speech 
    Hossain, Md. Fahad; Hasan, Md. Mehedi; Ali, Hasmot; Abujar, Sheikh (Scopus, 2021)
    Human voice is an important concern of efficient and modern communication in the era of Alexa, Siri, or Google Assistance. Working with voice or speech is going to be easy by preprocessing the unwanted entities when real ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Covid-19 Dataset 
    Ali, Hasmot; Hossain, Md. Fahad; Hasan, Md. Mehedi; Abujar, Sheikh (Data in Brief, Elsevier, 2020-08-17)
    The article represents coronavirus spread log history. The duration, coronavirus takes to spread from one country to another country, could be seen in this dataset and could predicted the same for future pandemics through ...
  • Covid-19 in Bangladesh 
    Khushbu, Sharun Akter; Keya, Mumenun Nessa; Abujar, Sheikh; Hossain, Syed Akhter; Masum, Abu Kaisar Mohammad (Procedia Computer Science, Elsevier, 2020)
    A global pandemic on March 11th of 2020, which was initially renowned by the World Health Organization (WHO) revealed the coronavirus (the COVID-19 epidemic). Coronavirus was flown in -December 2019 in Wuhan, Hubei region ...
  • Deep Learning Based Classification System for Recognizing Local Spinach 
    Islam, Mirajul; Ria, Nushrat Jahan; Ani, Jannatul Ferdous; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Springer, 2022-01-03)
    A deep learning model gives an incredible result for image processing by studying from the trained dataset. Spinach is a leaf vegetable that contains vitamins and nutrients. In our research, a Deep learning method has been ...
  • Ekush 
    Rabby, AKM Shahariar Azad; Hossain, Syed Akhter; Abujar, Sheikh; Islam, Md. Sanzidul; Haque, Sadeka (Communications in Computer and Information Science, Springer, 2019-07-17)
    Ekush the largest dataset of handwritten Bangla characters for research on handwritten Bangla character recognition. In recent years Machine learning and deep learning application-based researchers have achieved interest ...
  • English to Bengali Neural Machine Translation Using Global Attention Mechanism 
    Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Bhattacharya, Abhishek; Dutta, Soumi; Hossain, Syed Akhter (Scopus, 2021)
    Neural Machine Translation (NMT), increased the accuracy of machine translation and recently become more popular in machine translation research community. An attention mechanism has been added with NMT and the result of ...
  • Generating Bengali News Headlines 
    Salehin, Mushfiqus; Rafat, Ashik Ahamed Aman; Khan, Fazle Rabby; Abujar, Sheikh (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06-16)
    This age of data-driven innovation has made automated relevant and important data extraction a necessity. Automated text summarization has made it possible to extract relevant information from large amounts of data without ...
  • Handwritten Polynomial Equation Recognition and Simplification Using Convolutional Neural Network 
    Shuvo, Shifat Nayme; Hasan, Fuad; Hossain, Syed Akhter; Abujar, Sheikh (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    Polynomials are algebraic expressions involving a sum of powers in one or more variables multiplied by its coefficients. If x is a variable, a0x n +a1x n-1 +a2x n-2 +....+an then it's a (n) powers polynomial. Human is ...
  • An Insight Into the Intricacies of Lingual Paraphrasing Pragmatic Discourse on the Purpose of Synonyms 
    Nahian, Jabir Al; Masum, Abu Kaisar Mohammad; Syed, Muntaser Mansur; Abujar, Sheikh (Daffodil International University, 22-10-08)
    The term "paraphrasing" refers to the process of presenting the sense of an input text in a new way while preserving fluency. Scientific research distribution is gaining traction, allowing both rookie and experienced ...
  • Ishara-Bochon 
    Islam, Md. Sanzidul; Mousumi, Sadia Sultana Sharmin; Jessan, Nazmul A.; Rabby, AKM Shahariar Azad; Abujar, Sheikh; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-20)
    Ishara-Bochon, the first multipurpose comprehensive open access isolated digits dataset for Bangladeshi Sign Language (BdSL) is introduced in this article. Sign language digits is a major part of communication for deaf and ...
  • A Knowledge Base Data Mining Based on Parkinson's Disease 
    Hassan, Md. Redone; Kadir, S.K. Obidul; Islam, Md. Aminul; Abujar, Sheikh; Zannat, Raihana; Ohidujjaman (IEEE, 2019-11)
    The approaches to detecting Parkinson's disease in the human body from voice data by using Classification techniques apply three different algorithms for finding the growth rate of this disease. Unified Parkinson's disease ...
  • Machine Learning Applied to Kidney Disease Prediction 
    Rabby, A.K.M. Shahariar Azad; Mamata, Rezwana; Laboni, Monira Akter; Ohidujjaman; Abujar, Sheikh (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Machine learning has earned a remarkable position in healthcare sector because of its capability to enhance the disease prediction in healthcare sector. Artificial intelligence and Machine learning techniques are being ...
  • MathNET: Using CNN Bangla Handwritten Digit, Mathematical Symbols, and Trigonometric Function Recognition 
    Shuvo, Shifat Nayme; Hasan, Fuad; Ahmed, Mohi Uddin; Hossain, Syed Akhter; Abujar, Sheikh (Scopus, 2021)
    Scientific methods are mostly based on mathematical solutions. Optical character recognition (OCR) is one of the most required solution for digitalizing and/or processing the handwritten documents into any digital form. ...
  • Musical Instrument Classification Based on Machine Learning Algorithm 
    Anuz, Hasanuzzaman; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2021)
    Musical instrument classification from an audio file is a very interesting and important topic in machine learning. In this paper, we represent a method to classify a musical instrument from a single audio file of a specific ...
  • OnkoGan 
    Haque, Sadeka; Shahinoor, Shammi Akter; Rabby, AKM Shahariar Azad; Abujar, Sheikh; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-17)
    From a very early age human achieve a precious skill that is a handwriting. After this invention, the ardor of it changed day by day. And every human has a different style of handwriting. So, facsimile anyone’s handwriting ...
  • Prediction of Chronic Insomnia using Machine Learning Techniques 
    Islam, Md. Muhaiminul; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2020)
    The world is changed extremely over the last decade by the power of technology. Consequently, human lives are undergoing multiple changes that have both positive and negative effects on human health. A lot of virtual ...
  • Preprocessing of Continuous Bengali Speech for Feature Extraction 
    Hasan, Md. Mehedi; Ali, Hasmot; Hossain, Md. Fahad; Abujar, Sheikh (Scopus, 2020)
    As Voice is the most suitable form of communication, voice-based applications are playing a vital role in modern technology for the last few decades. It is not only the trend of modern and efficient technology but also a ...

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