Articles: Recent submissions

  • A Comparative Study of Different Machine Learning Tools in Detecting Diabetes 
    Ghosh, Pronab; Azam, Sami; Karim, Asif; Hassan, Mehedi; Roy, Kuber; Jonkman, Mirjam (Scopus, 2021)
    A significant proportion of people around the world are currently suffering from the harmful effects of diabetes and a considerable number of them not being identified at an early stage. Over time this may result in serious ...
  • An Explorative Analysis on the Machine-Vision-Based Disease Recognition of Three Available Fruits of Bangladesh 
    Habib, Md. Tarek; Mia, Md. Jueal; Uddin, Mohammad Shorif; Ahmed, Farruk (Scopus, 2021)
    Bangladesh, being a densely populated country, hinges on agriculture for the security of finance and food to a large extent. Hence, both the fruits’ quantity and quality turn out to be very important, which can be degraded ...
  • Functional Outcomes of Ponseti Method among Children with Congenital Clubfoot 
    Khan, Mohammad Jobair; Banik, Palash Chandra; Mondal, Rajib; Hoque, Mohammad Forhadul; Zaman, Sanjana; Hawlader, Mohammad Delwer Hossain (Scopus, 2021)
    Background: The children with congenital clubfoot (CC) are being managed by the cost-effective Ponseti method (PM) for over a decade in Bangladesh, however, its functional outcomes in the dynamic foot tasks are little known ...
  • Heavy Metal Toxicity from the Leather Industry in Bangladesh 
    Hasan, Md. Mahamudul; Hosain, Shahadat; Poddar, Pinku; Chowdhury, ABM Alauddin; Katengeza, Estiner W.; Roy, Uttam Kumar (Environmental Monitoring and Assessment, IEEE, 2019-08-01)
    Activities in the Bangladeshi leather industries have the potential to cause chemical pollutions thereby deteriorating the working environments, the surrounding residential areas, or even foodstuffs. Therefore, it is ...
  • Heavy Metal Detection in Soil and Related Health Aspect at Aila Inundated Sundarban Region, Bangladesh 
    Arafin, Sk. Abdul Kader; Hoque, A. K. M. Fazlul; Abedin, M. Joynal; El-Taher, Atef (International Journal of Scientific and Technology Research, 2019)
    The work was conducted on some soil samples collected from Aila flood water inundated 3 unions of Shamnagar upazila, Satkhira, Bangladesh where Aila flood water inundated and were few months. The soil samples were analyzed ...
  • Heart Disease Prediction Based on External Factors 
    Tamal, Maruf Ahmed; Islam, Md Saiful; Ahmmed, Md Jisan; Aziz, Md. Abdul; Miah, Pabel; Rezaul, Karim Mohammed (International Journal of Advanced Computer Science and Applications, 2019)
    Technology has immensely changed the world over the last decade. As a consequence, the life of the people is undergoing multiple changes that directly have positive and negative effects on health. Less physical activity ...
  • Handwritten Changma Numerals Recognition Using Capsule Networks 
    Hasan, Md Zahid; Hasan, K. M. Zubair; Hossain, Shakhawat; Al Mamun, Abdullah; Assaduzzaman, Md (2019 5th International Conference on Advances in Electrical Engineering, IEEE, 2019-09-28)
    Handwritten digit recognition is assumed to be a huge part in numerous authentication applications in the state-of-art technologies. As the manually written digits are not always found in similar size, thickness, style and ...
  • Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms 
    Siddik, Md. Abu Bakkar; Arman, Md. Shohel; Hasan, Afia; Jahan, Mahmuda Rawnak; Islam, Majharul; Biplob, Khalid Been Badruzzaman (Scopus, 2021)
    Road accidents are now a common occurrence in our country. Every year thousands of people die in these accidents and thousands of people are crippled and cursed. Recently the level of road accidents has increased drastically. ...
  • Hand Swiftera 
    Sabab, Shahed Anzarus; Islam, Sadman Saumik; Hossain, Mainul; Shahreen, Mahbuba (4th International Conference on Electrical Engineering and Information and Communication Technology, 2019)
    In the last decade, the trends in Human-Computer Interaction have changed dramatically with the invention of new and emerging technologies and devices. Controlling computer without the traditional peripherals is one of ...
  • Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification 
    Tasnim, Zarrin; Chakraborty, Sovon; Shamrat, F. M. Javed Mehedi; Chowdhury, Ali Newaz; Nuha, Humaira Alam; Karim, Asif; Zahir, Sabrina Binte; Billah, Md. Masum (Scopus, 2021)
    In recent years, the area of Medicine and Healthcare has made significant advances with the assistance of computational technology. During this time, new diagnostic techniques were developed. Cancer is the world's ...
  • Hand Gesture Recognition Using Image Segmentation and Deep Neural Network 
    Rony, Md Rashad Al Hasan; Alam, Mirza Mohtashim (Proceedings of SPIE - The International Society for Optical Engineering, 2019-03-15)
    Sign language is a medium of communication for a person with an auditory and verbal disability or deficiency. Therefore, it is essential to understand their hand gestures without difficulty in order to have effortless and ...
  • Haar Cascade Classifier and Lucas–kanade Optical Flow Based Realtime Object Tracker with Custom Masking Technique 
    Mohiuddin, Karishma; Alam, Mirza Mohtashim; Das, Amit Kishor; Munna, Md. Tahsir Ahmed; Allayear, Shaikh Muhammad; Ali, Md. Haider (Advances in Intelligent Systems and Computing, Springer, 2018-12-27)
    Computer vision has been proven a remarkable entity in modern computer science. Different applications of this field have been used on a regular basis. In this paper, we propose a new model for tracking real time object ...
  • GDPR Compliance 
    Shovon, Ahmedur Rahman; Roy, Shanto; Shil, Arnab Kumar; Atik, Tanjila (1st International Conference on Advances in Science, Engineering and Robotics Technology, IEEE, 2019-05-05)
    The paper presents implementation use cases towards the consequences of maintaining user data privacy after the adoption of GDPR; specifically in the news media industry. General data privacy regulation (GDPR) is a European ...
  • Forecasting the Number of Road Accidents and Casualties Using Random Forest Regression in the Context of Bangladesh 
    Biswas, Al Amin; Mia, Md. Jueal; Majumder, Anup (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-12-30)
    Last few decades, road accident is one of the rising problems in Bangladesh. Therefore, forecasting the number of accident and its casualties is necessary for its mitigation. In this perspective, machine learning can play ...
  • Forecasting of Agricultural Loan in Bangladesh 
    Rahman, Md.Mosfiqur; Parvin, Masuma; Anam, Sayedul; Rubi, M.A (International Journal of Recent Technology and Engineering, 2019-09)
    The agriculture sector is important to meet up the challenges of twentieth century in Bangladesh. It has huge contribution to our life. This sector secures the food security, export earnings and poverty reduction (Agricultural ...
  • Predicting Insomnia Using Multilayer Stacked Ensemble Model 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha (Scopus, 2021)
    Different forms of sleep disorders have become major health problems among people around the world, and insomnia is one of them. It is a physical condition in which a person faces difficulties to fall asleep at night. It ...
  • Psychological Impact of School Closure and Social Isolation on Female Students during Covid-19 
    Mustari, Sohela; Rahman, Mehe Zebunnesa; Kar, Susmita (Scopus, 2021)
    This article describes the socio-psychological effects of school closure on school-going urban girls in Dhaka, Bangladesh, during the Covid-19 pandemic. It illustrates the life of urban students in Bangladesh during the ...
  • Classification of Immunity Booster Medicinal Plants Using CNN 
    Musa, Md.; Arman, Md. Shohel; Hossain, Md. Ekram; Thusar, Ashraful Hossen; Nisat, Nahid Kawsar (Scopus, 2021)
    Environment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurveda, Homeopathy and Unani. Experts ...
  • Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures 
    Tasnim, Zarrin; Shamrat, F. M. Javed Mehedi; Islam, Md Saidul; Rahman, Md.Tareq; Aronya, Biraj Saha; Muna, Jannatun Naeem; Billah, Md. Masum (Scopus, 2021)
    Abstract: Breast cancer is a malignant tumor that affects women. It is the most prevalent cancer in women, affecting about 10% of all women at any point in their lives. The development of breast cancer begins in the lobules ...
  • Faster Than You Think 
    Arndt, Channing; Arent, Doug; Hartley, Faaiqa; Merven, Bruno; Mondal, Alam Hossain (Annual Review of Resource Economics, 2019-10)
    Since 2007, large and unexpected declines in generation costs for renewable energy systems, particularly solar but also wind, combined with policy measures designed to limit greenhouse gas emissions, have created a paradigm ...

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