Articles: Recent submissions

  • 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 ...
  • Multicore Bi-layer Gold-coated SPR-based Sensor for Simultaneous Measurements of CFC and HCFC 
    Jabin, Md. Asaduzzaman; Ahmed, Kawsar; Rana, Md. Juwel; Paul, Bikash Kumar; Dhasarathan, Vigneswaran; Uddin, Muhammad Shahin (2019)
    Global warming is an alarming issue in our daily life. As we know that CFCs and HCFCs have a great impact on ozone depletion and global warming process. So, there must be a cheaper way to detect CFCs and HCFCs from refrigerant ...
  • Classification on Educational Performance Evaluation Dataset Using Feature Extraction Approach 
    Rahman, Majidur; Mahmud, Antara (ACM International Conference Proceeding Series, ACM Digital Library, 2020-01-10)
    With the drastic drive in population and economy of Bangladesh, the urgency of higher education of the mass is also extending. Moreover, due to scarcity of resources, financial support and many other convoluted circumstances, ...
  • Combating Domestic Violence during COVID-19 Pandemic in Bangladesh 
    Hossain, Md. Elias; Najib, Arshadina Umara; Islam, Md. Zahidul (23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2021-04-06)
    Domestic violence (DV) is not new. Yet, researchers and human rights experts are reporting an alarming rise in DV against women since countries began locking down areas to stop the virus from spreading. They are now calling ...
  • Classification of Succulent Plant Using Convolutional Neural Network 
    Das, Ashik Kumar; Iqbal, Md. Asif; Paul, Bidhan; Rakshit, Aniruddha; Hasan, Md. Zahid (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning methods such as deep neural networks have remarkably improved plant species classification in recent years. It is very challenging task to classify plant species based on their categories. In this work, ...
  • Modelling Intention to Use ERP Systems Among Higher Education Institutions in Egypt 
    Soliman, Mohamed; Karia, Noorliza; Moeinzadeh, Soroush (International Journal of Supply Chain Management, ExcelingTech, 2019)
    Firms strive to achieve the sustainable competitive advantage in diverse and changing marketplaces. Coping with such circumstances has required firms to align information technology with business strategy in order to exploit ...
  • Modelling Digital Library Success Using the DeLone and McLean Information System Success Model 
    Alzahrani, Ahmed Ibrahim; Mahmud, Imran; Ramayah, T.; Alfarraj, Osama; Alalwan, Nasser (Journal of Librarianship and Information Science, SAGE journals, 2017-08-22)
    This is an exploratory study to model the determinants of actual use of a digital library system. To do so, a research model was developed using Delone and McLean’s information system success model and explained as an ...
  • Modelling and Optimization of Hybrid Power System at Coastal Area 
    Fardun, Morsalin Bin Mosharof; Sunny, Kazi Shaidul Islam; Satter, Md. Dara Abdus (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    As a developing country, Bangladesh is badly in need to get their power distribution to all sections of people. However, the amount of fossil fuel is decreasing gradually and in near future, it will be a burning question ...
  • Modeling Passengers’ Perceptions of Intercity Train Service Quality for Regular and Special Days 
    Hadiuzzaman, Md.; Malik, D. M. Ghius; Barua, Saurav; Qiu, Tony Z.; Kim, Amy (Public Transport, Springer, 2019-11-25)
    The Adaptive Neuro-Fuzzy Inference System (ANFIS) is used in this study to model the non-linear relationship between intercity train service quality (SQ) and its attributes related to physical conditions and service features. ...
  • Alternative Learning Experiences 
    Habib, Rabeya Binte (Scopus, 2019-03-16)
    What and how can teachers do the best to facilitate successful leaner involvement in learning? Perhaps, by giving them the charge of their own learning. This case study, thus, highlights an initiative to incorporate students ...
  • MobileNet Model for Classifying Local Birds of Bangladesh from Image Content Using Convolutional Neural Network 
    Islam, Md. Romyull; Tasnim, Nishat; Shuvo, Shaon Bhatta (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    To classify bird species is quite a challenging task due to complex interdependence on various factors. There have been numerous attempts at perfecting classification. The aim of our work is to classify bird species from ...

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