Articles: Recent submissions

  • IoT Based Smart Automated Agriculture and Real Time Monitoring System 
    Shamrat, F. M. Javed Mehedi; Hossain, Alamin; Roy, Tonmoy; Khan, Md Ahasanul Adeeb; Khater, Ankit; Rahman, Md Tareq (Scopus, 2021)
    In Bangladesh, agriculture is the primary source of income. It has a significant impact on the country's economy. However, agriculture is being hampered these days due to citizens shifting from rural to urban areas. ...
  • Comparative Analysis to identify the best Classifier for Parkinson Prediction 
    Shamrat, F.M. Javed Mehedi; Bhowmik, Shohag Kumar; Sultana, Zakia; Hossain, Ahbab; Amina, Mahdia; Thapa, Sittal (Scopus, 2021)
    Parkinson disease has become one of the most common diseases among people over the age of 65. Neurodegenerative disease affects movement, speech and other cognitive abilities. Among patients, the symptoms vary at a different ...
  • Industrial Fault Detection Using Transfer Learning Models 
    Chakraborty, Sovon; Shamrat, F.M. Javed Mehedi; Afrin, , Saima; Saha, Shaikat; Ahmed, Ishtiak; Thapa, Sittal (Scopus, 2021)
    Industry and equipment are critical factors in the advancement of human society in the era of the industrial revolution. Since factories are reliant on their machines, they must be maintained daily. However, if the machines ...
  • An Automated Smart Embedded System on Fire Detection and Prevention for Ensuring Safety 
    Shamrat, F.M. Javed Mehedi; Khan, Aliza Ahmed; Sultana, Zakia; Imran, M. M.; Abdulla, Abdulla; Khater, Ankit (Scopus, 2021)
    One of the biggest issues for architects, planners, and landowners is house combustion. Singular sensors have been used in the case of a fire for a long time, but they cannot quantify the volume of fire to warn emergency ...
  • An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Afroz, Maisha; Ferdowsy, Faria (Scopus, 2021)
    The issue of effective plant disease and pest prevention is compactly connected to the issues of sustainable agronomics and climate change. Okra plant diseases and pests cause intense monetary losses to the growing okra ...
  • Text Classification on Twitter Data Using Machine Learning Algorithm 
    Ruchika; Sharma, Mayank; Hossain, Syed Akhtar (Scopus, 2021)
    Classification of text is the major challenge faced by the industries so that they can extract the required information from that data. With the advent of machine learning, it becomes a lot easier for the engineers to ...
  • Brain Sensing with Wearable Headband (ACP2) 
    Akter, Nasrin; Hossain, Nijar; Sattar, Abdus (Scopus, 2021)
    This paper demonstrates an implementation of a mobile application capable of visualizing EEG data in a meaningful way. The project revolves around the Muse Wearable headband, a commercial device capable of reading EEG ...
  • A Bayesian Structural Time Series Model for Assessing Road Traffic Accidents during COVID-19 Period 
    Huq, Armana; Islam, Shahrin (Scopus, 2021)
    This is a systematic study to understand the effect of the implementation and removal of restrictive measures on road accidents statistics, using newspaper-based database. The time frame of data is between 1st January 2020 ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo; Sattar, Abdus (Scopus, 2021)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, ...
  • A Deep Learning Approach to Predict Chronic Kidney Disease in Human 
    Arafat, Faisal; Khan, Thaharim; Bapon, Atanu Das; Khan, Md. Ibrahim; Noori, Sheak Rashed Haider (Scopus, 2021)
    Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a straightforward or easy process. Recent ...
  • Sunflower Diseases Recognition Using Computer Vision-Based Approach 
    Rajbongshi, Aditya; Biswas, Al Amin; Biswas, Jahanur; Shakil, Rashiduzzaman; Akter, Bonna; Barman, Mala Rani (Scopus, 2021)
    Sunflower (Helianthus annuus) is a plant categorized as a low to medium drought-sensitive crop. It adds a significant value to the agricultural-based economy. But nowadays worldwide sunflower production is in crisis due ...
  • Prospect of Mini-Hydel Power Generation in Drainage Systems of Bangladesh 
    Ali, MM Naushad; Nahian, Ahmed J.; Siddique, Abdul Hasib; Hasan, Mehedi; Chowdhury, Nusrat; Hossain, Chowdhury Akram (Scopus, 2021)
    In today's world, large-scale hydroelectric power plants have an impact in the energy demography; although, the huge potential of pico, micro and mini-hydropower plants are still very much untapped. In this work, a ...
  • Was There Any Change in Tobacco Smoking Among Adults in Bangladesh during 2009-2017 Insights from Two Nationally Representative Cross-sectional Surveys 
    Rahman, Md Ashfikur; Kundu, Satyajit; Ahinkorah, Bright Opoku; Okyere, Joshua; Halder, Henry Ratul; Rahman, Md Mahmudur; Yadav, Uday Narayan; Mistry, Sabuj Kanti; Rahman, Muhammad Aziz (BMJ Open, 2021)
    Objective: This study assessed the changes in prevalence and associated factors of tobacco smoking among Bangladeshi adults over time. Design: Nationally representative cross-sectional surveys. Setting: Two most recent ...
  • Clinical Characteristics and Diagnostic Challenges of COVID−19: An Update from the Global Perspective 
    Israfil, S. M. Hasan; Sarker, Md. Moklesur Rahman; Rashid, Parisa Tamannur; Talukder, Ali Azam; Kawsar, Khandkar Ali; Khan, Farzana; Akhter, Selina; Poh, Chit Laa; Mohamed, Isa Naina (Scopus, 2021)
    Clinical characteristics are essential for the correct diagnosis of diseases. The current review aimed to summarize the global clinical characteristics of the COVID-19 patients systematically and identify their diagnostic ...
  • Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches 
    Emon, Minhaz Uddin; Imran, Al Mahmud; Islam, Rakibul; Keya, Maria Sultana; Zannat, Raihana; Ohidujjaman, Ohidujjaman (Scopus, 2021)
    Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain ...
  • Ekush 
    Rabby, AKM Shahariar Azad; Hossain, Syed Akhter; Abujar, Sheikh; Islam, Md. Sanzidul; Haque, Sadeka (Communications in Computer and Information Science, Springer, 2019-07-17)
    Ekush the largest dataset of handwritten Bangla characters for research on handwritten Bangla character recognition. In recent years Machine learning and deep learning application-based researchers have achieved interest ...
  • Efficient Anti-kidnapping and Anti-harassment (Avoidance-detection-notification) Mobile Application for Unwanted Incidents 
    Hossain, Md. Elias; Rahman, Mostafijur; Hassan, Md. Maruf (2019 IEEE Student Conference on Research and Development, 2019)
    Kidnapping and harassment is not only a global issue but also a historic issue in Bangladesh. In between the years of 2010 and 2018, the total number of kidnapping events were found, 6708 (Avg. 745.33 events per year) in ...
  • Effects of Cognitive Ability, Trust and Time-saving 
    Hossain, Rifat; Mahmud, S. M. Hasan; Hossin, Md. Altab; Bhuiyan, Touhid; Hua, Yin Xiao (Lecture Notes in Networks and Systems, Springer, 2018-08-31)
    Prior research was perused the technology usage on limited factors; our aim is to investigate factor to adumbrate e-ticketing systems accuracy with further improvement and successive usage in the context of Bangladesh. To ...
  • Effect of MWCNT's Concentration in TiO2 Based DSSC and Degradation Study of the Cell 
    Kabir, Fahmid; Uddin, Sheikh Shehab (Journal of Renewable and Sustainable Energy, 2019)
    In this paper, the effect of multi-walled carbon nanotubes (MWCNTs) concentration on a TiO2 based dye sensitized solar cell (DSSC) has been demonstrated along with the degradation study of the cell. Introducing MWCNTs into ...
  • eExpense 
    Sabab, Shahed A.; Islam, Sadman Saumik; Hossain, Monir (5th International Conference on Electrical Engineering and Information and Communication Technology, IEEE, 2019)
    Tracking regular expense is a key factor to maintain a budget. People often track expense using pen and paper method or take notes in a mobile phone or a computer. These processes of storing expense require further ...

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