DIU Faculty Publication: Recent submissions

  • Automated Risk Prediction by Measuring Pneumothorax Size Using Deep Learning 
    Islam, Shariful; Rehana, Hasin; Asaduzzaman, Sayed; Hossen, Syed Mobassir; Hossain, Rabby; Bhuiyan, Touhid; Uddin, Muhammad Shahin; Akter, Nargis (IEEE, 2020)
    This research proposed an approach which takes images as a DICOM format from the Kaggle dataset named “SIIM-ACR Pneumothorax Segmentation”. Preprocessed images were fed to popular Unet architecture with se_resnext50_32*4d ...
  • BNnet 
    Al Imran, Abdullah; Wahid, Zaman; Ahmed, Tanvir (Springer, 2020)
    Misleading and fake news in rapidly increasing online news portals in Bangladesh has become a major concern to both the government and public lately, as a substantial amount of incidents have taken place in different cities ...
  • Bangla Continuous Handwriting Character and Digit Recognition Using CNN 
    Hasan, Fuad; Shuvo, Shifat Nayme; Abujar, Sheikh; Mohibullah, Md.; Hossain, Syed Akhter (Springer, 2020-03-04)
    There are several works in Bangla handwritten character recognition. Here a new methodology proposed to recognize the character from continuous Bangla handwritten character. The system’s main components are preprocessing, ...
  • Bangla Document Classification using Character Level Deep Learning 
    Rahman, Md. Mahbubur; Sadik, Rifat; Biswas, Al Amin (IEEE, 2020-10)
    Last few decades, the availability and accessibility of the Bangla document and its content have rapidly increased due to the rapid technological advancement. Intense research needs to be performed on various Bangla documents ...
  • Bangla Handwritten Digit Recognition Using Deep Convolutional Neural Network 
    Basri, Rabeya; Haque, Mohammad Reduanul; Akter, Morium; Uddin, Mohammad Shorif (ACM International Conference Proceeding Series, 2020)
    Handwritten Bangla digit recognition is one of the most challenging computer vision problems due to its diverse shapes and writing style. Recently deep learning based convolutional neural network known as deep CNN finds ...
  • 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 Speaker Accent Variation Detection by MFCC Using Recurrent Neural Network Algorithm 
    Mamun, Rezaul Karim; Abujar, Sheikh; Islam, Rakibul; Been Md. Badruzzaman, Khalid; Hasan, Mehedi (Springer, 2020-03-04)
    There are a number of languages accent differential applications that detect the different accents in assorted languages. The studies which have done before most of them are based on the English language and different ...
  • 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 ...
  • Bangla Optical Character Recognition and Text-to-Speech Conversion using Raspberry Pi 
    Biswas, Al Amin (International Journal of Advanced Computer Science and Applications, 2020)
    Optical Character Recognition (OCR) technology is very helpful for visually impaired or illiterate persons who are unable to read text documents but need to reach the content of the text documents. In this paper, a ...
  • BanglaSenti 
    Ali, Hasmot; Hossain, Md. Fahad; Shuvo, Shaon Bhatta; Al Marouf, Ahmed (IEEE, 2020-07)
    Being the fifth most spoken language in the world, use of Bangla or Bengali language has spread its breadth into the world of social media. Huge volume of user-generated Bangla data are produced daily in various social ...
  • 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, ...
  • Bangladeshi Stock Price Prediction and Analysis with Potent Machine Learning Approaches 
    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 ...
  • Bank Vault Security System Based on Infrared Radiation and GSM Technology 
    Dutta, Mithun; Islam, Md. Ashiqul; Mamun, Mehedi Hasan; Psyche, Kangkhita Kaem; Al Mamun, Mohammad (Springer, 2019-11-11)
    Banking security systems are emerging as a matter of great importance nowadays. We are presenting here a smart security system, which has been designed to protect the bank vault from being theft or unauthorized access. ...
  • Beam Divergence and Operating Wavelength Bands Effects on Free Space Optics Communication Channels in Local Access Networks 
    Paul, Bikash Kumar (Journal of Optical Communications, 2020)
    The paper outlines the divergence of beam and operating wavelength bands effects on free-space optics communication channels in local access networks. The max Q factor and min bit error rate are measured based on the ...
  • 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 ...
  • Betel Nut Addiction Detection Using Machine Learning 
    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, ...
  • Incorporating Supervised Learning Algorithms with NLP Techniques to Classify Bengali Language Forms 
    Nahar, Sabrin; Hasan, K. B. M. Rajibul; Chowdhury, Tamanna Sharmin; Khan, Sunjida; Zayed, Nurul Mohammad (Academy of Strategic Management Journal, 2020)
    Internet use is very essential for the students because it serves the students as a teacher. Internet provides fast knowledge and information about the subject to the students. However, the attitude of students is not same ...
  • CNN based Disease Detection Approach on Potato Leaves 
    Asif, Md. Khalid Rayhan; Rahman, Md. Asfaqur; Hena, Most. Hasna (IEEE, 2020-12)
    Potatoes are a well-known vegetable to all of us. If the other countries are taken into consideration, it can be easily concluded that potatoes are the number one vegetable all over the world, which has been increasingly ...
  • Aspect Based Sentiment Analysis in Bangla Dataset Based on Aspect Term Extraction 
    Haque, Sabrina; Rahman, Tasnim; Shakir, Asif Khan; Arman, Md. Shohel; Biplob, Khalid Been Badruzzaman; Himu, Farhan Anan; Das, Dipta; Islam, Md Shariful (Springer, 2020-07-30)
    Recent years have seen rapid growth of research on sentiment analysis. In aspect-based sentiment analysis, the idea is to take sentiment analysis a step further and find out what exactly someone is talking about, and then ...

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