DIU Faculty Publication: Recent submissions

  • A Survey on RealSense 
    Rabbani, Masud; Mia, Md. Jueal; Khan, Thaharim; Zarif, Md Ishrak Islam (IEEE, 2020-07)
    RealSense technology is such a technology which is implemented for machines and device for measuring the capabilities of those apparatus. The capabilities are related to the perceptions of those machines and devices. This ...
  • A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application 
    Rahman, Md. Mahfuzur; Motiur Rahman, Sheikh Shah Mohammad; Allayear, Shaikh Muhammad; Patwary, Md. Fazlul Karim; Munna, Md. Tahsir Ahmed (Springer, 2020-01-09)
    The consistency of user satisfaction on mobile application has been more competitive because of the rapid growth of multi-featured applications. The analysis of user reviews or opinions can play a major role to understand ...
  • A Robust Deep Learning Segmentation and Identification Approach of Different Bangladeshi Plant Seeds Using CNN 
    Keya, Mumenunnessa; Majumdar, Bhaskar; Islam, Md. Sanzidul (IEEE, 2020-07)
    The purpose of this research is to identify the image of the seed. Different types of seeds are leveled into different classes through seed classification process. The demonstration was applied on more than 1000 seed images. ...
  • A Review on Diabetes Self-management Applications for Android Smartphones 
    Unknown author (IEEE, 2020-06)
    Proper and sufficient health-care services have always been of great importance to the society and its' people. There are some common health issues that are frequently faced by people which can be taken care of by introducing ...
  • A Review Paper on Comparison of Different Algorithm Used in Text Summarization 
    Basak, Setu; Gazi, MD. Delowar Hossain; Chowdhury, S. M. Mazharul Hoque (Springer, 2019-11-11)
    At present, Data remains as the most important part of human life. The future of data generation is manipulated through different data analysis techniques. But every day it is becoming much more difficult. Due to current ...
  • A Proficient Model to Classify Bangladeshi Bank Notes for Automatic Vending Machine Using a Tiny Dataset with One-Shot Learning Siamese Networks 
    Hossain, Md. Ekram; Islam, Arni; Islam, Md. Sanzidul (IEEE, 2020)
    Automatic vending machine is a necessity at this technological era. It's a step to go toward the vendor-less shop management, which supports the commandment of the 4th Industrial Revolution. But image recognition system ...
  • A Novel Authentication Method for Password Encryption 
    Roy, Sovan; Tanvir Siddiquee, Shah Md.; Rahman, Md. Khalidur; Al Marouf, Ahmed (IEEE, 2020-11)
    Data hacking has become one of the anxiety issue in this modern era. Therefore, we have to prevent this illegal data hacking, theft at any cost. For ensuring data integrity, there are many methods including backups, ...
  • A New Approach to Hiding Data in the Images Using Steganography Techniques Based on AES and RC5 Algorithm Cryptosystem 
    Hossen, Md. Sagar; Islam, Md. Ashiqul; Khatun, Tania; Hossain, Shahed; Rahman, Md. Mahfujur (IEEE, 2020-09)
    In the new era of modern science and technology is developing day by day, data confidentiality is risky, all over the world and it increases rapidly. In this paper, a new approach to hiding the data using steganography ...
  • A Mutation Triggering Method for Genetic Algorithm to Solve Traveling Salesman Problem 
    Qaiduzzaman, Khandker M.; Khatun, Sabira; Afsa, Maliha; Sobhan, Sadman; Hossain, Md. Elias; Shaharum, Syamimi Mardiah; Rahman, Mostafijur (Springer, 2020-07-09)
    This chapter reveals the effect of combining mutation operators in Genetic Algorithm. Though mutation is a very effective genetic operator to escape the local optima, it has an adverse effect on computation time. It is ...
  • A Machine Learning Approach to Automating Bengali Voice Based Gender Classification 
    Badhon, S.M. Saiful Islam; Rahaman, Md. Habibur; Rupon, Farea Rehnuma (IEEE, 2019-11)
    Does thicker vocal folds produce sounds with longer wavelength? And can they produce higher pitches to human ears? We address these types of questions and try to identify the difference between male and female voices. By ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Large-Scale Investigation to Identify the Pattern of App Component in Obfuscated Android Malwares 
    Russel, Md. Omar Faruque Khan; Motiur Rahman, Sheikh Shah Mohammad; Islam, Takia (Springer, 2020-06-15)
    Number of smartphone users of android based devices is growing rapidly. Because of the popularity of the android market malware attackers are focusing in this area for their bad intentions. Therefore, android malware ...
  • A Knowledge Base Data Mining Based on Parkinson's Disease 
    Hassan, Md. Redone; Kadir, S.K. Obidul; Islam, Md. Aminul; Abujar, Sheikh; Zannat, Raihana; Ohidujjaman (IEEE, 2019-11)
    The approaches to detecting Parkinson's disease in the human body from voice data by using Classification techniques apply three different algorithms for finding the growth rate of this disease. Unified Parkinson's disease ...
  • 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 ...

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