DIU Faculty Publication: Recent submissions

  • Assessment of Phosagro's Capital Structure Based At Two Hierarchical Methods of Integral Ranking of Important Financial and Economic Activity Indicators 
    Vygodchikova, Irina Y.; Gorskiy, Mark A.; Khalikov, Mikhail A.; Zayed, Nurul Mohammad (Scopus, 2021)
    The article presents tools for complex analysis of an enterprise’s financial condition using two hierarchical procedures of the integral ranking of important financial and economic activity indicators. A comprehensive ...
  • Sentiment Analysis on Twitter Tweets about Covid-19 Vaccines Using NlP and Supervised KNN Classification Algorithm 
    Shamrat, F. M. Javed Mehedi; Chakraborty, Sovon; Imran, M. M.; Muna, Jannatun Naeem; Billah, Md. Masum; Das, Protiva; Rahman, Md. Obaidur (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The pandemic has taken the world by storm. Almost the entire world went into lockdown to save the people from the deadly COVID-19. Scientists around the around have come up with several vaccines for the virus. Among them, ...
  • Empirical Analysis of the Role of Patriotic Education on Common Strategic- National and Economic Policy in the Modern World 
    Fedotova, Yuliya G.; Dmitrievna, Denikina Zoya; Oxana N, Vasilyeva; Irina, Konovalova; Zayed, Nurul Mohammad (Scopus, 2021)
    The purpose of the article is to characterize the state of patriotic education and the national idea in Russia and the modern world. The work uses formal legal, historical, sociological, systemic methods, methods of analysis ...
  • Increasing the Potentiality of Graphene Oxide by Chloroacetic Acid for the Adsorption of Lead with Molecular Dynamic Interpretation 
    Hossain, Saddam; Rahman, Md Sajjadur; Dhar, Loknath; Quraishi, Shamshad B.; Abser, Md Nurul; Rahman, Farzana; Rahman, Mir Tamzid (Scopus, 2021)
    The recent progress of graphene oxide (GO), it is considered as the most promising nano adsorbents for water purification. In this study, the adsorption potentiality of this nano material was increased by functionalization ...
  • Thermal Instability Analysis for Natural Convective Heat Transport within a Horizontal Layer Filled with Nanoparticles Using Non-homogeneous Dynamic Model 
    Uddin, M. J.; Rahman, M. M. (Journal of Engineering Thermophysics, Springer, 2021-09-17)
    This paper presents a thermal instability analysis for the natural convective heat transport within a horizontal layer filled with nanoparticles using non-homogeneous dynamic model, which is performed analytically and ...
  • Bangladesh Metropolitan Crime Area Prediction Using Decision Tree 
    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 ...
  • Bangla Abusive Language Detection Using Machine Learning on Radio Message Gateway 
    Ritu, Sumaiya Salim; Mondal, Joysurya; Mia, Md. Moinu; Marouf, Ahmed Al (2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    In the era of modern technology, machine learning and natural language processing has been adopted to be applied in several application areas. Natural language processing consists of diversified techniques such as text ...
  • Face Mask Detection Using Convolutional Neural Network (CNN) to Reduce the Spread of Covid-19 
    Shamrat, F.M. Javed Mehedi; Chakraborty, Sovon; Billah, Md. Masum; Jubair, Md. Al; Islam, Md Saidul; Ranjan, Rumesh (2021 5th International Conference Trends in Electronics and Informatics (ICOEI), IEEE, 2021-06-21)
    The COVID-19 coronavirus pandemic is wreaking havoc on the world's health. The healthcare sector is in a state of disaster. Many precautionary steps have been taken to prevent the spread of this disease, including the usage ...
  • CNN Based Automatic Computer Vision System for Strain Detection and Quality Identification of Banana 
    Al Haque, A. S. M. Farhan; Hakim, Md. Azizul; Hafiz, Rubaiya (2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08)
    Banana is amongst the most appealing and nutritious fruits worldwide, cultivated almost every part of the world round the year. Bangladesh ranks 14 th worldwide in producing this appealing fruit putting a substantial mark ...
  • A Review of Groundbreaking Changes in the Poultry Industry in Bangladesh Using the Internet of Things (IOT) and Computer Vision Technology 
    Faysal, Md. Anowar Hossen; Ahmed, Md. Rasel; Rahaman, Md. Masudur; Ahmed, Fizar (2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08)
    As the number of people increases daily, the requirement for animal meat is also growing in the country. Therefore, the use of technology in the poultry industry is essential to meet all these needs adequately. IOT & ...
  • A Computer Vision Based Food Recognition Approach for Controlling Inflammation to Enhance Quality of Life of Psoriasis Patients 
    Hridoy, Rashidul Hasan; Akter, Fatema; Mahfuzullah, Md.; Ferdowsy, Faria (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Deep learning becomes the spotlight in computer vision based recognition approaches in recent years. Psoriasis affects people of all ages around the world and causes inflammation on the skin with significant systemic ...
  • Bangladeshi Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • Computer Vision Based Skin Disorder Recognition Using Efficient net 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • A Plowing T-shaped Patch Antenna for WiFi and C Band Applications 
    Haque, Md Ashraful; Paul, Liton Chandra; Kumar, Subroto; Azim, Rezaul; Hosain, Md. Sarwar; Zakariya, M Azman (2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08)
    In this paper, a plowing T-shaped microstrip patch antenna (MPA) is proposed which can be used for 5 GHz WiFi (5.180 GHz – 5.925 GHz), 6 GHz WiFi (5.940 GHz – 7.075 GHz) and C band (4GHz – 8GHz) satellite applications. The ...
  • Bangladeshi Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-21)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • Computer Vision Based Skin Disorder Recognition Using Efficientnet 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer 
    Ghosh, Pronab; Azam, Sami; Hasib, Khan Md.; Karim, Asif; Jonkman, Mirjam; Anwar, Adnan (2021 International Joint Conference on Neural Networks (IJCNN), IEEE, 2021-09-21)
    Breast Cancer is one of the leading causes of death worldwide. Early detection is very important in increasing survival rates. Intensive research is therefore done to improve early detection of such cancers through the use ...
  • IOT Security Perspectives and Probable Solution 
    Newaz, Nishat Tasnim; Haque, Mohammad Rafiqul; Akhund, Tajim Md. Niamat Ullah; Khatun, Tania; Biswas, Milon; Yousuf, Mohammad Abu (2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), IEEE, 2021-08-19)
    Nowadays the Internet of Things (IoT) is a buzzword. In numerous fields, we are using it. So, the security and privacy of the Internet of Things are very important for today’s mankind. In this paper, we have analyzed many ...
  • BIOT 
    Biswas, Milon; Akhund, Tajim Md. Niamat Ullah; Ferdous, Most. Jannatul; Kar, Susmita; Anis, Adeeba; Shanto, Sadah Anjum (2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), IEEE, 2021-08-19)
    Despite what the media can have us to think, block chain has a broad range of applications outside of crypto currencies. From health resources to regulation, real estate, and finance, innovation is poised to transform a ...
  • Sensitive MWCNTP-Cys@MIP Sensor for Selective Electrochemical Detection of Ceftizoxime 
    Ali, M. R.; Bacchu, M. S.; Al-Mamun, M. R.; Rahman, M. M.; Ahommed, M. S.; Aly, M. Aly Saad; Khan, M. Z. H. (Journal of Materials Science, Springer, 2021-04-29)
    An electrochemical sensor based on molecular imprinted polymer (MIP) to detect ceftizoxime (CFX) with high sensitivity and selectivity is demonstrated. MIP was synthesized by electropolymerization of poly-cysteine (P-Cys) ...

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