DIU Faculty Publication: Recent submissions

  • Analysis of Bangladeshi People's Emotion during Covid-19 in Social Media Using Deep Learning 
    Pran, Md. Sabbir Alam; Bhuiyan, Md. Rafiuzzaman; Hossain, Syed Akhter; Abujar, Sheikh (IEEE, 2020-07)
    World is passing through a very uncertain circumstance as Coronavirus becoming a great threat. Staying in home is the best solution now to be safe. People are now passing their most of the time in social platform. They're ...
  • Chemical Contamination in Date Fruits Collected During Ramadan from Different Markets of Dhaka North City, Bangladesh 
    Zamir, Rausan; Islam, Nazmul; Parvin, Sharmin; Rahman, Safiur; Faruque, M. Omar; Asraf, Md. Ali; Zakaria, M. (Asian Journal of Chemistry, 2020)
    Assessment of toxic metals in date fruits collected during Ramadan from different market sites within Dhaka city of Bangladesh have been carried out. Detection of toxic metals like Zn (0.07-0.15 mg/100 g), Cu (0.08-0.28 ...
  • Analysis and Prediction of Air Permeability of 100% Cotton Single Jersey Fabric Using Machine Learning Approaches 
    Akter, Sharmin; Ahmed, Md. Sohel; Khan, Dr. Mashiur Rahman (Journal of Textile and Apparel, Technology and Management, 2020)
    The air permeability property has great significance on the fabric comfort related property. In this study Artificial Neural Network (ANN), Random Forest and Additive Regression Classification Models have been applied for ...
  • An Investigation into the Level of Valence Offered By Different Pointing Devices against Challenging Tasks 
    Ahmed, Eshtiak; Islam, Ashraful; Ashraf, Mohsena; Khan, Md. Ibrahim; Chowdhury, Atiqul Islam; Karim, Asif (International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2020)
    Pointing devices are the primary media of interac-tion between humans and computers. The three most popular pointing devices used in computers (both portable and non-portable) are mouse, touchpad and nubs (joystick). They ...
  • Characterizing Topological Properties and Network Pathway Model among Vector Borne Diseases 
    Taz, Tasnimul Alam; Kawsar, Md; Paul, Bikash Kumar; Ahmed, Kawsar; Bhuyian, Touhid (Informatics in Medicine Unlocked, Elsevier, 2020)
    Dengue, Malaria, and Chikungunya are vector-borne diseases, and are some of the most destructive diseases in the world. They cause millions of deaths per year. Our study, described herein, attempts to develop a significant ...
  • An Investigation and Evaluation of N-Gram, TF-IDF and Ensemble Methods in Sentiment Classification 
    Rahman, Sheikh Shah Mohammad Motiur; Biplob, Khalid Been Md. Badruzzaman; Rahman, Md. Habibur; Sarker, Kaushik; Islam, Takia (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2020)
    In the area of sentiment analysis and classification, the performance of the classification tasks can be varied based on the usage of text vectorization and feature extraction methods. This paper represents a detailed ...
  • An Insight into Toxic Metal in Herbal Medicine 
    Islam, Nazmul; Zamir, Rausan; Asraf, Md. Ali; Farooque, Md. Akhter; Choudhury, M. Zakaria (Pharmacologyonline, 2020)
    Herbal medicines are becoming increasingly popular, thereby being used in a vast amount. Prime reasons for this ample amount of popularity are clever marketing techniques fed on perceived safety. However, without proven ...
  • Causes of Air Pollution in Bangladesh’s Capital City and Its Impacts on Public Health 
    -E-Khuda, Kudrat (Nature Environment and Pollution Technology, 2020)
    Air is one of the precious natural resources which is essential for living beings. Pollution in the urban areas like Cairo, Delhi, Mexico and Dhaka far surpasses the acceptable limits set by the World Health Organization ...
  • An in-depth Exploration of Automated Jackfruit Disease Recognition 
    Habib, Md. Tarek; Mia, Md. Jueal; Uddin, Mohammad Shorif; Ahmed, Farruk (Journal of King Saud University - Computer and Information Sciences, 2020)
    Bangladesh extensively depends on agriculture for the economy as well as food security owing to its huge population. In this connection, it becomes very important to efficiently grow plants and increase their yields. ...
  • Cardiovascular Disease Forecast Using Machine Learning Paradigms 
    Islam, Saiful; Jahan, Nusrat; Khatun, Mst. Eshita (Proceedings of the 4th International Conference on Computing Methodologies and Communication, ICCMC 2020, IEEE, 2020-04-23)
    In this recent era, Cardiovascular disease (CVD) propagation rate has been intensifying the cause of death worldwide among the non-communicable disease. In particular the south asian countries have a tremendous risk of ...
  • An Impressive Thrombolytic and Analgesic Effect Has Been Exhibited in the Methanolic Extract of Hygroryza Aristata Leaves 
    Hossain, Md. Sarowar; Rashid, Md. Mamunur; Azad, Md. A.K.; Rahman, Md. Mizanur; Ferdous, Md. Wahed; Islam, M. Anwarul (Pharmacologyonline, 2020)
    Hygroryza aristata is the significantly most important traditional medicinal plant practitioners all over the country since long years. Seeds are cooling and astringent to urinary tract; useful in biliousness. By the use ...
  • An Exploratory Research on Grammar Checking of Bangla Sentences Using Statistical Language Models 
    Rahman, M. D. Riazur; Habib, M. D. Tarek; Rahman, M. D. Sadekur; Islam, Gazi Zahirul; Khan, M. D. Abbas Ali (International Journal of Electrical and Computer Engineering, 2020)
    N-gram based language models are very popular and extensively used statistical methods for solving various natural language processing problems including grammar checking. Smoothing is one of the most effective techniques ...
  • An Enhancement of Kerberos Using Biometric Template and Steganography 
    Tabassum, Munira; Sarower, Afjal H.; Esha, Ashrafia (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2020-07-30)
    Kerberos, a renowned token based authentication protocol, which is famous since mid-80’s for its cryptographic process, assurance of privacy, and data security for identifying appropriate users. Due to its versatile ...
  • An Improved Safety Detection Algorithm towards Deadlock Avoidance 
    Begum, Momotaz; Faruque, Omar; Miah, Md. Waliur Rahman (IEEE, 2020-04)
    In operating system, the resource allocation to each process is a critical issue, because the resources are limited and sometimes may not be shareable among processes. An ineffective resource allocation may cause deadlock ...
  • An Improved Switching Control Technique for Single-Phase Voltage Source Inverter 
    Chowdhury, Md. Razon; Chowdhury, Sumon; Islam, Md. Rabiul; Mahfuz-Ur Razman, A. M.; Kouzani, Abbas Z.; Mahmud, M A Parvez (IEEE, 2020-10)
    The traditional pulse width modulation techniques cause high power loss in the power devices of the inverter. This paper presents a modified equal loading bus clamping pulse width modulation technique, where the modulating ...
  • An IoT Based System for Printing Braille Letter from Speech 
    Ahmed, Foysal; Choudhury, Abu Raihan; Rakshit, Aniruddha; Hasan, Md. Zahid (IEEE, 2020-06)
    Visually impaired person cannot perform their activities like ordinary person. It becomes more difficult when a person is visually impaired along with deafness. Sometimes, it is quite impossible to communicate with such ...
  • An Offline and Online-based Android Application ―travelhelp to Assist the Travelers Visually And Verbally for Outing 
    Shamrat, F.M. Javed Mehedi; Rahman, A.K.M Sazzadur; Tasnim, Zarrin; Hossain, Syed Akhter (International Journal of Scientific and Technology Research, 2020)
    TravelHelp" is an android application thatwill be developed mainly to help tourists who are eager to visit Dhaka city. The application is mainly featured to be an offline app so that the user can use the app without any ...
  • An SDN Based Distributed IoT Network with NFV Implementation for Smart Cities 
    Mukherjee, Bivash Kanti; Pappu, Sadiqul Islam; Islam, Md. Jahidul; Acharjee, Uzzal Kumar (Springer, 2020-07-30)
    The Internet of Things (IoT) is an arrangement of connected numerous digital devices usually contained Unique Identifiers (UIDs) and have the capability to exchange data over a network without any human interaction. Another ...
  • An Analysis of Artificial Intelligence in Biometrics-the Next Level of Security 
    Khan, Md. Rakibul Hassan (Journal of Critical Reviews, 2020)
    In the digital age, security is one of the primary concerns of any organization. Every organization has realized that data isa major resource. Hence, organizations deploy advanced security mechanisms to safeguard business ...
  • An Analysis on Breast Disease Prediction Using Machine Learning Approaches 
    Shamrat, F. M. Javed Mehedi; Raihan, Md. Abu; Rahman, A.K.M. Sazzadur; Mahmud, Imran; Akter, Rozina (International Journal of Scientific and Technology Research, 2020)
    The central aspect of this study is to evaluate the different Machine learning classifier's performance for the prediction of breast cancer disease. In this work, we have used six supervised classification techniques for ...

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