Md Saiful Islam, Tonmoy Sarkar, Sazzad Hossain Khan, Abu-Hena Mostofa Kamal et al.
Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the dete...
Md Saiful Islam, Abu-Hena Mostofa Kamal, Alamgir Kabir, Dorothy L. Southern et al.
INTRODUCTION: Rumors and conspiracy theories, can contribute to vaccine hesitancy. Monitoring online data related to COVID-19 vaccine candidates can track vaccine misinformation in real-time and assist in negating its impact. This study aimed to examine COVID-19 vaccine rumors and conspiracy theorie...
Rowshon Kabir, Md. Abu Khalid Saifullah, Abrar Zadeed Ahmed, Shah Md. Masum et al.
Undoped and N-doped ZnO nanocomposites are produced by a simple and low-cost mechanochemical method. The characterizations of all nanocomposites are examined by X-ray diffraction (XRD), Fourier transform-infrared (FT-IR), scanning electron microscopy (SEM) and UV-Vis-NIR spectroscopy. The XRD measur...
Md Humaion Kabir Mehedi, Ehteshamul Haque, Sameen Yasir Radin, Md Abrar Ur Rahman et al.
Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural networks have proven to be useful in disease prediction in the progression of modern science. In this paper, we have proposed a segmentat...
Abdullah Al-Monsur, Md Rizwanul Kabir, Abrar Mohammad Ar-Rafi, Mirza Muntasir Nishat et al.
Covid-19 is still running rampant around the globe. With the recent emergence of rapidly spreading variants, the necessity for testing becomes ever more acute. In this study, firstly, a deep learning based framework is proposed to conduct both a binary and multi-class classification of chest X-ray i...
Ishrak Jahan Ratul, Ummay Habiba Wani, Mirza Muntasir Nishat, Abdullah Al-Monsur et al.
Bone marrow transplant (BMT) is an effective surgical treatment for bone marrow-related disorders. However, several associated risk factors can impair long-term survival after BMT. Machine learning (ML) technologies have been proven useful in survival prediction of BMT receivers along with the influ...
Ahnaf Akif Rahman, Md Rizwanul Kabir, Rashed Hasan Ratul, Fatin Abrar Shamns et al.
The analysis of human emotional features is a significant hurdle to surmount on the path to understanding the human mind. Human emotions are convoluted thus making its analysis even more daunting. In this paper, a meticulous and thorough analysis of EEG Brainwave Dataset: Feeling Emotions is perform...
Mohammad Fahim Abrar, Md Rakibul Islam, Md. Sabir Hossain, Mohammad Mainul Islam et al.
Al Mamun Mizan, A. Z. M. Tahmidul Kabir, Nadim Zinnurayen, Tawsif Abrar et al.
The principal intent behind the titled project is to make a smart vehicle management system that will prompt us to reduce traffic accidents. There are three major elements in this prototype of the smart vehicle management system. Firstly, there is a drowsiness detector, which will identify the drows...
Smruti S. Pattanaik
Abstract The ascendancy of Jamaat Islami to power in a country that was born on the basis of secularism indicates the changing political dynamics in Bangladesh. Its syncretic tradition rooted in its language and culture limited Jamaat's success. Nevertheless, given the role the party played during t...
Abdullah Taharat, Mohammad Abrar Kabir, Aseer Imad Keats, A. K. M. Rakib et al.
Kaniz Fatema Rahman, Md Farhatul Abrar, Sanjida Safa Tithi, Kazi Bayzid Kabir et al.
Municipal solid waste (MSW) management is a major concern for Bangladesh, given its high population density and increasing waste production rate. Conventional waste management methods, such as landfilling, result in high carbon emissions for the environment. With over 70% of MSW being organic, hydro...
Md Rizwanul Kabir, Muhammad Mutiul Muhaimin, Md. Abrar Mahir, Mirza Muntasir Nishat et al.
Sentiment analysis is indispensable for scrutinizing the convoluted characteristics of the human mind. In this paper, an attempt is made to perform a comprehensive analysis of sentiment in the CREMA-D audio dataset by relying on extracting MFCC features from the dataset. Standardization of the datas...
Moinur Rahman, Md. Reza‐E‐Rabby, Md. Rayhan Kabir, Rezwana Anjum et al.
BACKGROUND: The relationship between social media use and sleep quality is complicated and may be impacted by several contextual factors, including age, socioeconomic status, living environment, and other medical issues. It is necessary to explore the relationship between social media usage and poor...
Md Mainul Abrar, Alamgir Kabir, Sadiq Shahriyar Nishat