DIU Faculty Publication: Recent submissions

  • An Approach for Bengali Text Summarization using Word2Vector 
    Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Mohibullah, Md.; Ohidujjaman; Hossain, Syed Akhter (Scopus, 2019-12-30)
    Text Summarization is one of the mentionable research areas of Natural language processing. Several approaches have already been developed in this concern. Such as - Abstractive approach and extractive approach. Most recent ...
  • An Innovative Data Mining Approach for Determine Earthquake Probability Based on Linear Regression Algorithm 
    Khan, Thaharim; Majumder, Anup; Rabbani, Masud; Siddiquee, Shah Md. Tanvir (IEEE, 2019-02-22)
    Earthquake (EQ) causes many damages to our environment, this paper proposes a new approach to find the Earthquake probability (EQP) using linear regression (LR-EQP) is to minimize this extensive problem with the help of ...
  • An Empirical Study of Cervical Cancer Diagnosis using Ensemble Methods 
    Karim, Enamul; Neehal, Nafis (Scopus, 2019-05-05)
    Cervical Cancer, being one of the most pressing issues now-a-days, needs to be addressed properly. With a view to achieving an accurate diagnosis method for Cervical Cancer by screening the risk factors, different machine ...
  • An Efficient Modified Bagging Method for Early Prediction of Brain Stroke 
    Alam, Md. Mahabur; Hasan, Md. Mehadi; Hasan, Md. Zahid (Scopus, 2019-07-12)
    Brain stroke become a serious cardiovascular and cerebral disease causes of human death. Precisely predicting stroke effect from a set of predictive attributes may classify high-risk patients and guide cure approaches, ...
  • Pharmacological Screening of in Vitro Activity of Methanol Extract of Nagalinga Flower 
    Johara, Fatema Tuz; Aovi, Farjana Islam (Scopus, 2020)
    The aim of the present study was to investigate the presence of phytochemical constituents and presence of some potent pharmacological activity of Couroupita guianensis. The extract was prepared from the flowering part of ...
  • Performance Optimization of Layered Signature Based Intrusion Detection System Using Snort 
    Firoz, Noor Farjana; Arefin, Md. Taslim; Uddin, Md. Raihan (Scopus, 2020)
    Intrusion Detection System (IDS) is used to protect a system or a computer network from different kinds of anomaly attacks. Different detection techniques have been discussed on network-based IDS. The study has been done ...
  • Performance Evaluation of Traditional Classifiers on Prediction of Credit Recovery 
    Pradhan, Mohammad Rajib; Akter, Sima; Marouf, Ahmed Al (Scopus, 2020)
    In the era of Big Data, machine learning is an emerging technique to analyze the large volume of data and is used to make critical business decisions. It is broadly used in different area such as medical, telecom, social ...
  • Performance Comparison of Early Breast Cancer Detection Precision Using AI and Ultra-wideband (UWB) Bio-antennas 
    Bari, Bifta Sama; Khatun, Sabira; Ghazali, Kamarul Hawari; Islam, Minarul; Rashid, Mamunur; Rahman, Mostafijur; Talip, Nurhafizah Abu (Scopus, 2020)
    Breast cancer is the most common cancer among women and a major cause of death globally. A high percentage of the cancer death can be reduced if it is detected earlier (Stage 1 or 2). Early and non-invasive (health-friendly) ...
  • Performance Analysis of an Efficient and Stable Perovskite Solar Cell and a Comparative Study of Incorporating Metal Oxide Transport Layers 
    Ghosh, Arnob; Dipta, Shahriyar Safat; Nikor, Sk Shafaat Saud; Saqib, Nazmus; Saha, Arnob (Scopus, 2020)
    As poor stability is the primary constraint for the commercialization of perovskite solar cells, improving stability has been the primary focus of recent research works regarding solar cells that make use of perovskite ...
  • Comparative Study on Abstractive Text Summarization 
    Talukder, Md Ashraful Islam; Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Akter, Sharmin; Hossain, Syed Akhter (11th International Conference on Computing, Communication and Networking Technologies, IEEE, 2020-10-15)
    This paper represents a comparative study and gives an overview on some of the great research work done on abstractive text summarization. Getting a gist part from a large text document is known as text summarization. In ...
  • Nocs2 
    Zobaed, S.M.; Haque, Enamul; Kaiser, Shahidullah; Hussain, Razin Farhan (2020 21st International Conference of Computer and Information Technology, ICCIT 2018, IEEE, 2019-02-14)
    Cloud services are widely deployed to store and process big data. Organizations who deal with big data, especially large document set, prefer utilizing cloud services for storage and computational efficiency. However, for ...
  • Comparative Sentiment Analysis Using Difference Types of Machine Learning Algorithm 
    Hossain, Rakib; Ahamed, Fowjael; Zannat, Raihana; Rabbani, Md. Golam (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    In today's world business are becoming online based. Companies sell their products and seek for consumer's feedback. When all the consumer writes their review about that's a product, It's becomes difficult to say that ...
  • New Exact Anisotropic Static Spherically Symmetric Stellar Models Satisfying the Eiesland Condition 
    Fatema, Saba; Murad, Mohammad Hassan; Singh, Ksh.N. (Annals of Physics, Elsevier, 2019-01-16)
    In a very recent work (Murad, 2018) one of the present authors represents an algorithm for constructing all the static spherically symmetric exact anisotropic solutions of Einstein’s field equations of embedding class 1 ...
  • Natural Convective Heat Transfer in a Square Enclosure Utilizing Magnetic Nanoparticles 
    Al-Balushi, Latifa M.; Uddin, M.J.; Rahman, M.M. (Propulsion and Power Research, Elsevier B.V, 2019-08-23)
    In the present paper, unsteady natural convective heat transfer flow inside a square enclosure filled with nanofluids containing magnetic nanoparticles using nonhomogeneous dynamic model is investigated numerically. The ...
  • NStackSenti 
    Sohan, Md Fahimuzzman; Rahman, Sheikh Shah Mohammad Motiur; Munna, Md Tahsir Ahmed; Allayear, Shaikh Muhammad; Rahman, Md. Habibur; Rahman, Md. Mushfiqur (Communications in Computer and Information Science, Springer, 2019-11-24)
    Sentiment Detection plays a vital role worldwide to measure the acceptance level of any products, movies or facts in the market. Text vectorization (converting text from human readable to machine readable format) and machine ...
  • Music Playing and Wallpaper Changing System Based on Emotion from Facial Expression 
    Hosen, Protik; Himel, Nuruzzaman; Adil, Md. Asaduzzaman; Moon, Ms. Nazmun Nessa; Nur, Ms. Fernaz Narin (Advances in Intelligent Systems and Computing, Springer, 2018-12-12)
    Our faces contain a huge amount of information and it plays an important role in finding out of an individual‘s behavior. Facial expression analysis is the most effective way to detect human emotion. In this paper, we ...
  • A Deep Learning Based Approach on Categorization of Tea Leaf 
    Kamrul, Mahadi Hasan; Rahman, Majidur; Robin, Md Risul Islam; Hossain, Md Safayet; Hasan, Mohammad Hasibul; Paul, Pritom (ACM Digital Library, 2020-01-10)
    Tea grading is a very prominent factor of the tea industry. The standard, fragrance and sweetness of tea mostly relies on this grading system. This research is a step to introduce machine learning with the tea industry, ...
  • A Decision Support System of Selecting Groups (Science/ Business Studies/ Humanities) for Secondary School Students in Bangladesh 
    Hasan, Rifat; Ovy, Md. Khairul Alam; Nishi, Ifrat Zahan; Hakim, Md. Azizul; Hafiz, Rubaiya (IEEE, 2020-10-15)
    As education is the only way to turn a person into human resource, every country tries to give her citizens proper scope of bringing out their inner ability by offering the appropriate education. According to the education ...
  • A Cost-Effective Voice Controlled Electronic Braille for Independent Learning of Visually Impaired People 
    Adnan, Md Ehtesham; Nur E Alam, Mir Md; Sirajum Monira, Jannatul Ferdousi; Rezaul Islam, Mohammad (IEEE, 2020-11-02)
    The process of learning is very strenuous for the people who are visually impaired or visually challenged. Voice Activated Braille is a portable device that will help visually impaired or visually challenged people to learn ...
  • A Convolutional Neural Network Approach to Recognize the Insect 
    Hossain, Md. Imran; Paul, Bidhan; Sattar, Abdus; Islam, Md. Mushfiqul (IEEE, 2020-06-16)
    In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic ...

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