DIU Faculty Publication: Recent submissions

  • A Hybrid GRU-CNN Feature Extraction Technique for Speaker Identification 
    Shihab, Md. Shazzad Hossain; Aditya, Shuvra; Setu, Jahangir Hossain; Imtiaz-Ud-Din, K. M.; Efat, Md. Iftekharul Alam (IEEE, 2020-12)
    Speaker identification with diversified voice clip across the globe is a crucial and challenging task, specially extracting vigorous and discriminative features. In this paper, we demonstrated an end-to-end speaker ...
  • A Framework to Address Security Concerns in Three Layers of IoT 
    Jose, Alwyn; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Faisal, Fahad; Islam, Ashraful; De Boer, Friso; Jonkman, Mirjam (IEEE, 2020-11-20)
    The Internet of Things (IoT) is becoming part of many aspects of our life, including healthcare, home utilities, retail, energy, logistics, etc. This prolific and ubiquitous nature of IoT based systems brings with it the ...
  • Vector Representation of Bengali Word Using Various Word Embedding Model 
    Rafat, Ashik Ahamed Aman; Salehin, Mushfiqus; Khan, Fazle Rabby; Hossain, Syed Akhter; Abujar, Sheikh (Scopus, 2020)
    To transfer human understanding of language to a machine we need word embedding. Skipgram, CBOW, and fastText is a model which generate word embedding. But finding pretrained word embedding model for the Bengali language ...
  • Utilizing Smartphone Usage Pattern for Gender Recognition Applying Machine Learning Algorithms 
    Polin, Johora Akter; Khan, Omayer; Marouf, Ahmed Al (Scopus, 2020)
    Smartphones can connect people over long distance within few seconds and perform critical tasks easily. The concept of global village has turned into reality through the optimum usage of smartphones. Smartphone is not just ...
  • Use of Bioactive Extracellular Matrix Fragments as a Urethral Bulking Agent to Treat Stress Urinary Incontinence 
    Wang, Ying; Duan, Meng; Rahman, Mahbubur; Yang, Ming; Zhao, Weixin; Zhou, Shukui; Gao, Guo; Fu, Qiang (Scopus, 2020)
    Injection of urethral bulking agents is a low-risk, minimally invasive surgical procedure to treat stress urinary incontinence (SUI). In this study, we developed a promising injectable bulking agent comprising extracellular ...
  • Usability and Accessibility Testing 
    Jeba, Madina Tul; Sadia, Farzana; Rahman, Tasnim; Hossain, Kazi Md Istiyak; Bhuiyan, Touhid (2020)
    People around the world use the information and avail services from government websites, thus the usability and accessibility of these websites are few of the main concerns for digital literacy of e-government system. The ...
  • Unleashing the VEP Triplet Count of Virtually Created 3D Bangla Alphabet to Integrate with Augmented Reality Application 
    Ghosh, Apurba; Ghosh, Anindya; Ahmed, Arif; Uddin, Md Salah; Rahman, Mizanur; Hasan, Md Samaun; Uddin, Jia (Scopus, 2020)
    This paper demonstrates the process of calculating VEP triplet count of Bangla Alphabet which are unlike traditional hand written or printed letters, but created entirely in 3 dimensional virtual environment to effectively ...
  • Understanding How Marginalized Hijra in Bangladesh Navigate Complex Social Media Ecosystem 
    Nova, Fayika Farhat; DeVito, Michael Ann; Saha, Pratyasha; Rashid, Kazi Shohanur; Turzo, Shashwata Roy; Afrin, Sadia; Guha, Shion (Scopus, 2020)
    There is a growing scholarly recognition of the experiences and diversity of gender and sexual orientations beyond hetero-normative identities [4, 6] in research; however, they ultimately categorize gender and sexuality ...
  • Understanding Business Intelligence in the Context of Mental Healthcare Sector of Bangladesh for Improving 
    Tumpa, Zerin Nasrin; Saifuzzaman, Mohd.; Rabby, SK. Fazlee; Crearie, Linda; Stansfield, Mark (Scopus, 2020)
    Business Intelligence (BI) can produce solutions that can enable different organizations to take fast and effective decision making by extracting valuable information and discovering underlying data patterns. Whilst health ...
  • Two-Phase Natural Convection Analysis and Hybrid Nanoparticle Migration around Micromixer Blades 
    Hatami, Mohammad; Uddin, Md. Jashim; Hu, Meibing; Jing, Dengwei; Javed, Maryiam (Scopus, 2020)
    In this paper, numerical investigations are presented for hybrid nanoparticle migration and free convection heat transfer of two kinds of nanofluids in a micromixer at the fixed propeller condition. The inner blades and ...
  • Knowledge and Attitudes Associated with Menopause among Women Aged 45 to 60 Years 
    Harun, Md Golam Dostogir; Salema, Umme; Chowdhury, Aluddin; Haque, Md Imdadul; Abdullah Heel Kafi, Mohammad; Shahajahan, Md; Sharmin, Sabrina (Menopause, 2020-06-27)
    Objective: To assess knowledge and attitudes associated with the menopause transition among women in Bangladesh. Methods: A cross-sectional survey was conducted among women (age range 45-60 y), 160 participants were ...
  • IOT-NFC Controlled Remote Access Security and an Exploration through Machine Learning 
    Khan, Md. Abbas Ali; Hanif Ali, Mohammad; Haque, A.K.M Fazlul; Sharmin, Farah; Jabiullah, Md. Ismail (2020 18th International Conference on ICT and Knowledge Engineering (ICT&KE), IEEE, 2020-12-25)
    Internet of Things (IOT) is a system that allows to connect the computing devices without the help of human-to-human or human-to-computer interaction. This paper proposes an app-based remote access control door lock security ...
  • IOT Based Smart Health Monitoring System for Diabetes Patients Using Neural Network 
    Efat, Md. Iftekharul Alam; Rahman, Shoaib; Rahman, Tasnim (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    In improvement of the quality of health care services, Internet of Things (IoT) has evolved rapidly for monitoring patient from distance. However, notifying health status based on continuous change of health condition for ...
  • IOT Based Smart Energy Monitoring and Warning System 
    Sium, Farhan Sadik; Ghosh, Arnob; -Al-Hossain, Md. Junaed (11th International Conference on Electrical and Computer Engineering (ICECE), IEEE, 2021-04)
    Real time monitoring and over usage notification system are prerequisite for developing awareness about proper usage of electrical energy. In this research an IoT (Internet of Things) based device and a unique apps have ...
  • IOT Based Low-cost Robotic Agent Design for Disabled and Covid-19 Virus Affected People 
    Akhund, Tajim Md. Niamat Ullah; Jyoty, Watry Biswas; Siddik, Md. Abu Bakkar; Newaz, Nishat Tasnim; Wahid, S.K. Ayub Al; Sarker, M. Mesbahuddin (Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2020, IEEE, 2020-10-01)
    Disabled people and Virus affected patients can be helped through Internet of Things and Robotic systems in this modern era. Recently the whole world is suffering from the Covid-19 pandemic. The virus affected and disabled ...
  • IOT Based Health Monitoring Automated Predictive System to Confront Covid-19 
    Choyon, Md Mashrur Sakib; Rahman, Maksudur; Kabir, Md. Mohsin; Mridha, M. F. (2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), IEEE, 2020-01)
    As the whole world is striving to combat the Coronavirus disease (COVID-19), healthcare and health monitoring systems are struggling to confront the virus. Many cases have been observed where the COVID-19 could not be ...
  • IOT Waiter Bot 
    Akhund, Tajim Md. Niamat Ullah; Siddik, Md. Abu Bakkar; Hossain, Md. Rakib; Rahman, Md. Mazedur; Newaz, Nishat Tasnim; Saifuzzaman, Mohd. (ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) IEEE, 2020-09)
    The modern era is Robotic and IOT era. Robots are reducing human works. Robots are broadly using in Restaurants, Farming, Hospitals and various fields now a days. This work results a low cost IOT Robot that can work like ...
  • Mining and Predicting Protein-drug Interaction Network of Breast Cancer Risk Genes 
    Islam, Muhammad Nahidul; Shaolin, Shams Shah; Paul, Bikash Kumar; Bhuyian, M, Touhid; Ahmed, Kawsar; Touhid, Bhuyian; Islam, Md. Manowarul (Gene Reports, Elsevier, 2020-06-15)
    Background and objective The increasing number of patients of Breast Cancer (BC) is a matter of concern all around the world. There isn't any specific reason behind this disease to be occurred in the human body. But there ...
  • IOT Based Street Lighting Using Dual Axis Solar Tracker and Effective Traffic Management System Using Deep Learning 
    Saifuzzaman, Mohd.; Shetu, Syeda Farjana; Moon, Nazmun Nessa; Nur, Fernaz Narin; Hanif Ali, Mohammad (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020. IEEE, 2020-10)
    With the rapid increase of population, nonrenewable energy loss has become one of the prior concerns worldwide in recent years. Researchers are working on the proper utilization of renewable energy to save the rest of the ...
  • IOT Based Risk Level Prediction Model for Maternal Health Care in the Context of Bangladesh 
    Ahmed, Marzia; Kashem, Mohammod Abul (2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 2020-12)
    Internet of Things (IoT), a new paradigm has the extensive applicability including healthcare and numerous areas. In this research, a system has been developed for effective monitoring and predicting risk level of a pregnant ...

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