DIU Faculty Publication: Recent submissions

  • Open Source Digital Library on Open Educational Resources 
    Ahammad, Nur (Electronic Library, Emerald Publishing Limited, 2019-11-22)
    Abstract Purpose This paper aims to explain the implementation procedure of DSpace at the Library of Independent University, Bangladesh. This paper shows how DSpace is promoting open educational resources (OER) movement ...
  • Product Review Analysis Using Social Media Data Based on Sentiment Analysis 
    Chowdhury, S. M. Mazharul Hoque; Abujar, Sheikh; Ohidujjaman; Badruzzaman, Khalid Been Md.; Hossain, Syed Akhter (Scopus, 2020)
    In this current world where everyday people are generating a large amount of data and different business organizations are becoming more and more dependent on it, it has become very important to come out of the traditional ...
  • Prevalence of Machine Learning Techniques in Software Defect Prediction 
    Sohan, Md Fahimuzzman; Kabir, Md Alamgir; Rahman, Mostafijur; Bhuiyan, Touhid; Jabiullah, Md Ismail (Scopus, 2020)
    Software Defect Prediction (SDP) is a popular research area which plays an important role for software quality. It works as an indicator of whether a software module is defect-free or defective. In this study, a review has ...
  • Processing With Patients’ Statements 
    Hossain, Shakhawat; Hasan, Md. Zahid; Rakshit, Aniruddha (Scopus, 2020)
    This paper represents a novel strategy for developing a disease diagnosis gadget from a patient’s statement. For that, the system solely accepts patients’ statements in a natural language like English and analyzes the ...
  • 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 ...
  • 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 ...
  • Prediction of Absenteeism at Work using Data Mining Techniques 
    Skorikov, Mikhail; Hussain, Muhammad Abrar; Khan, Mahfujur Rhaman; Akbar, Mohammad Kaosain; Momen, Sifat; Mohammed, Nabeel; Nashin, Taniya (Scopus, 2020)
    High absenteeism among employees can be detrimental to an organization as it can result in productivity and economic loss. This paper looks into a case of absenteeism in a courier company in Brazil. Machine learning ...
  • Computational Modeling and Analysis of Gene Regulatory Interaction Network for Metabolic Disorder: a Bioinformatics Approach 
    Ahmed, Md. Liton; Islam, Md. Rakibul; Paul, Bikash Kumar; Ahmed, Kawsar; Bhuyian, Touhid (Biointerface Research in Applied Chemistry, 2020-04-22)
    In this study, we generate a PPI network and co-regulatory networks to understand the mechanisms of metabolic disorder more clearly. This study also analyzes the relevance of genes that are responsible for Cardiovascular ...
  • Conventional/phase Shift Dual Drive Mach-Zehnder Modulation Measured Type Based Radio Over Fiber Systems 
    Amiri, S; Rashed, Ahmed Nabih Zaki; Rahman, Ziaur; Paul, Bikash Kumar; Ahmed, Kawsar (Journal of Optical Communications, 2020-04-14)
    This work clarified the conventional/phase shift dual Mach–Zehnder modulation measured technique for upgrading radio over fiber (ROF) systems. Four levels of pulse amplitude modulation and non-return to zero code scheme ...
  • Comparison Study 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Nahin, Faiza Islam; Rabby, AKM Shahariar Azad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    The key to success in today's business is controlling the retails supply chain. Predicting customer demand is very essential for supply chain management. The perfect prediction has an effective impact on earning a profit., ...
  • Prediction Model for Self-Assessed Health Status in Flood-Prone Area of Bangladesh 
    Hossain, Md. Kamrul (Scopus, 2020)
    Bangladesh is a frequently affected by river flood and flash flood because of its geographical location. Along with the number of vulnerabilities, flood is cause sever health related problems. Thus objective of this study ...
  • Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering 
    Munna, Md.Tahsir Ahmed; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Sarker, Kaushik; Ara, Sheikh Joly Ferdaus (Scopus, 2020)
    In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes is one of the most common chronic diseases which has affected ...
  • 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 ...
  • Countries Condition of Forestation and Trees Percentage Using Machine Learning 
    Abdullha, Abir; Habib, Yeasin; Masum, Md. Raisul Islam; Rabby, Akm Shahariar Azad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    ,Most countries are now in a dangerous place for forestation and some are in developed forestation. So forestation and trees percentage prediction are to predict the condition of the countries about their condition of ...
  • An Approach of Teachers' Quality Improvement by Analyzing Teaching Evaluations Data 
    Chaki, Prosanta Kumar; Sazal, Md. Mozammel Hossain; Sohel, Mohammad Khaled (Semantic Schola, 2019)
    With the increasing number of educational data the institutions are becoming more reliable on the technology to analyze the students' behavior, achievements, and qualities for decision making. The accomplishments of students ...
  • An Overview of Blockchain Applications and Attacks 
    Faisal, Fahad (IEEE, 2019-11-14)
    In recent decades, Information Technology has contributed fundamentally to the development of financial markets, reforming the way in which financial institutions interact with each other. However, the established practices ...
  • Ontology-based Information Retrieval System for University 
    Ullah, Mohammad Aman; Hossain, Syed Akhter (Advances in Intelligent Systems and Computing, Springer, 2018-09-02)
    The purpose of this paper is to search for a general framework for ontology development. This paper also implemented ontology on university domain, proposed a general framework for ontology searching and explained searching ...
  • An Optimization Approach to Improve Classification Performance in Cancer and Diabetes Prediction 
    Islam, Ashraful; Ahmed, Eshtiak; Mahmud, Md. Swakshar; Hossain, Sabrina (IEEE, 2019-04-04)
    There are many destructive diseases in the world which cause rapid death by taking time to affect such as cancer and diabetes. They take a lot of time to spread, thus they are curable or somewhat scalable to a great extent ...
  • An OFDMA-based Hybrid MAC Protocol for IEEE 802.11ax 
    Islam, Gazi Zahirul (IEEE, 2018-08-30)
    Recently, IEEE 802.11 started a task group, 802.11ax, to investigate and deliver next generation wireless local area network (WLAN) technologies for dense environments. In 802.11ax, orthogonal frequency-division multiple ...
  • Conic Programming Approach to Reduce Congestion Ratio in Communications Network 
    Das, Bimal Chandra; Begum, Momotaz; Uddin, Mohammad Monir; Rahman, Md. Mosfiqur (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Springer, Cham, 2020-07-30)
    These researches introduce a robust optimization model to reduce the congestion ratio in communications network considering uncertainty in the traffic demands. The propose formulation is depended on a model called the pipe ...

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