Articles: Recent submissions

  • A Data Science Approach to Predict the University Students at Risk of Semester Dropout 
    Rafiq, Md Abdur; Rabbi, Abir Mahamud; Ahammad, Rasel (5th International Conference on Trends in Electronics and Informatics, ICOEI 2021; SCAD College of Engineering and Technology Tirunelveli, IEEE, 2021-06-21)
    In Bangladeshi institutions, the likelihood of student semester dropout has increased in recent years. A large number of university students, particularly in science background disciplines, are enrolled in a variety of ...
  • Prevalence and Predictors of Cognitive Impairment among the Elderly in Bangladesh 
    Hossain, Zakir; Das, Jiban Kanai; Fahim, Nahian Fyrose; Ali, Hasan; Khondoker, Mizanur (Scopus, 2021)
    Aim To investigate the prevalence of cognitive impairment and its predictors among the elderly in Bangladesh. Subject and Methods We use a cross-sectional survey of 1015 older people (≥60 years) in Bangladesh collected ...
  • Robo-Friend 
    Ahmed, Eshtiak; Islam, Ashraful; Chowdhury, Atiqul Islam; Rahman, Mohammad Masudur (Scopus, 2021)
    Social robots are becoming more popular every day because of their resemblance with human behavior and interaction styles. They should be treated more like companions rather than just a fancy source of entertainment. Recent ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, N.N.; Jahan, N. (Proceedings of the 5th International Conference on Trends in Electronics and Informatics, Scopus, 2021)
    The educational sector has been proved to be a major sector where improvement measures are a must to develop the system and the curriculum which changes in every few years. Students state that in order to cope with the ...
  • A Comprehensive Study on Pre-pruning and Post-pruning Methods of Decision Tree Classification Algorithm 
    Shamrat, F.M.J.Mehedi; Chakraborty, S.; M.M., Billah; Das, P.; Muna, J.N; Ranjan, R. (5th International Conference on Trends in Electronics and Informatics (ICOEI 2021), Scopus, 2021)
    The decision tree is the most effective classification method. However, the results of the decision tree can show errors due to over fitting or if the data is too noisy. This may cause the tree to be too big with unnecessary ...
  • PatiCare 
    Das, Nimai Chandra; Skakun, Anastasiia D.; Zim, Md Ziaul Haque; Rafi, Mehdi Hasan; Akif, Ahanaf Thamid (2021 10th Mediterranean Conference on Embedded Computing (MECO), IEEE, 2021-07-01)
    In the medical system, it is crucial to hold patient past health records to give the correct treatment to the patient and ensure the medical practitioner's physical health safety. The `PatiCare' patient healthcare monitoring ...
  • End Users' Resistance Behaviour Paradigm in Pre-Deployment Stage of ERP Systems 
    Alzahrani, Ahmed; Mahmud, Imran; Thurasamy, Ramayah; Alfarraj, Osama; Alwadain, Ayed (Scopus, 2021)
    Purpose This study proposes a research model to identify the relevant constructs of employee resistance and symbolic adoption in pre-implementation stage of enterprise resource planning systems in manufacturing industries, ...
  • Cyber Security in the Global Village and Challenges for Bangladesh: An Overview on Legal Context 
    (Babu), Kudrat-E-Khuda (Scopus, 2021)
    With the rapid penetration of the Internet and other information and communication technology worldwide, cyber-crime is emerging as a threat to personal data stored in computers and likely to affect the entire data systems. ...
  • Policy Discourses 
    Rahman, Redwanur; Salam, Mohammad Asif (Scopus, 2021)
    Saudi Arabia has modified from a predominantly free, public, and comprehensive system under a welfare model to more of a mixed-economy model of healthcare. The welfare state slowly moved to a liberal model, emphasizing ...
  • A Weighted Scoring Based Rating Scale to Identify the Severity Level of Mathematics Anxiety in Students 
    Tamal, Maruf Ahmed; Akter, Rabia; Hossain, Syed Akhter; Rezaul, Karim Mohammed (Scopus, 2021)
    The purpose of the current study was to develop an effective scale that can be used to assess the severity level of Mathematics Anxiety (MA) among students. Generally, measures for assessing MA adopt primitive questionnaires ...
  • Implementation of Deep Learning Methods to Identify Rotten Fruits 
    Chakraborty, Sovon; Shamrat, F.M. Javed Mehedi; Billah, Md. Masum; Jubair, Md. Al; Alauddin, Md.; Ranjan, Rumesh (2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2021-06-21)
    Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers. Humans wear out by ...
  • Risk Factors of Stomach Cancer Bangladesh Perspective 
    Royel, Md. Rejaul Islam; Hassan, Mehedi; Masud, Fuyad Al; Jaman, Md. Ajmanur; Ahmed, Arzo; Muyeed, Abdul (Scopus, 2021)
    Background: Stomach cancer is known as gastric cancer. Knowing any disease risk factors is an important task which is varied from country to country. In this study, we aim to find out all possible preoperative significant ...
  • Paticare 
    Das, Nimai Chandra; Skakun, Anastasiia D.; Zim, Md Ziaul Haque; Rafi, Mehdi Hasan; Akif, Ahanaf Thamid (2021 10th Mediterranean Conference on Embedded Computing (MECO), IEEE, 2021-07-01)
    In the medical system, it is crucial to hold patient past health records to give the correct treatment to the patient and ensure the medical practitioner's physical health safety. The `PatiCare' patient healthcare monitoring ...
  • Efficacy and Acceptance of Virtual Classrooms during Covid-19 
    Halder, Nabarun; Islam, S. M. Rakibul; Hosain, Md. Sarwar; Ahmed, Eshtiak; Islam, Ashraful; Noori, Sheak Rashed Haider (2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE, 2021-08-25)
    The sudden spread of COVID-19 shut down educational institutions worldwide, and Bangladesh was no exception. Educational institutions were forced to start their activities online; there was no alternative to keep the ...
  • Sentiment Analysis From Depression-related User-generated Contents from Social Media 
    Saha, Ananna; Marouf, Ahmed Al; Hossain, Rafayet (2021 8th International Conference on Computer and Communication Engineering (ICCCE), IEEE, 2021-07-01)
    In this paper, we try to detect the sentiment levels such as positive, negative and neutral sentiments from depression related posts and comments generated in social media platforms. Social media platforms such as Facebook, ...
  • Modelling Consumer's Intention to Use IOT Devices 
    Jahan, Nusrat; Shawon, Md. Abu Hosen; Sadia, Farzana; Nitu, Dilara Khanom; Ribon, Md. Enam Kobir; Mahmud, Imran (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The present study has been conducted to examine whether skills and general technology-related value (GTV) required to operate the internet of things (IoT). This study also investigates is there any effect of technophilia ...
  • Significant Pathway and Biomarker Identification of Pancreatic Cancer Associated Lung Cancer 
    Khan, Tamanna; Paul, Bikash Kumar; Hasan, Md Tanvir; Islam, Md Rakib; Arefin, M.A.; Ahmed, K.; Islam, Md K.; Moni, Mohammad Ali (Scopus, 2021)
    Pancreatic Cancer (PC) is the seventh leading cause of cancer-related death worldwide and one of the deadliest malignant neoplasms. It is difficult to diagnose at an early stage. Lung Cancer (LC) is the second most common ...
  • Predicting Chronic Kidney Disease of Diabetes Patients Using Ensemble Learning 
    Faruque, Md. Omar; Hossain, Sabbir; Al Marouf, Ahmed (6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    Chronic kidney disease is the reason for many deaths all over the world every year. Chronic kidney disease has troubled almost 753 million people all over the world in 2016, wherein 417 million are females and 336 million ...
  • Smart Residence Incorporating with Internet of Things (IoT) 
    Khatun, Mst. Eshita; Shingho, Debashish Kumer; Hossain, Md. Saddam; Hossain, Syed Akhter (Scopus, 2021)
    With the advent of technologies and along with the progress of Internet-based information society, the rapid growth of the automation system has been evolved around us. Internet of Things (IoT) is most spelt ones. In this ...
  • Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm 
    Kowsher, Md.; Tahabilder, Anik; Prottasha, Nusrat Jahan; Rakib, Md. Abdur-; Alam, Md. Shameem; Habib, Kaiser (Scopus, 2021)
    —A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and ...

Search DSpace


Browse

My Account