Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.
Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand ...
Molla Shahadat Hossain Lipu, Abdullah Al Mamun, Shaheer Ansari, Md. Sazal Miah et al.
Recently, electric vehicle (EV) technology has received massive attention worldwide due to its improved performance efficiency and significant contributions to addressing carbon emission problems. In line with that, EVs could play a vital role in achieving sustainable development goals (SDGs). Howev...
Mohammed Rahmatullah, Ariful Haque Mollik, Md Nasir Ahmed, Zobaer Ahmed Bhuiyan et al.
Folk medicinal practitioners (Kavirajes) of Bangladesh are consulted for treatment of various ailments by a substantial segment of the rural and urban population of the country. The major element that distinguishes the folk medicinal practitioners from other forms of medical practices is their use o...
Md. Simul Bhuyan, Venkatramanan Senapathi, S. Selvam, Sylvia Szabo et al.
Oceanic marine plastic contamination was an increasingly global issue due to increased demand. This has a significant effect not only on marine biodiversity, but also on public safety and numerous infectious diseases found in both aquatic and human species. A huge amount of money was spent worldwide...
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, Md Shahin Ali et al.
Brain tumor, a leading cause of uncontrolled cell growth in the central nervous system, presents substantial challenges in medical diagnosis and treatment. Early and accurate detection is essential for effective intervention. This study aims to enhance the detection and classification of brain tumor...
Md. Maruf Hossain, Md Shahin Ali, Md Mahfuz Ahmed, Md. Rakibul Hasan Rakib et al.
Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying each year. The identification and early diagnosis of CVD are critical in preventing adverse health outcomes. Hence, this study proposes a hybrid deep learning (DL) model that combines a convolutional neural netwo...
Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, Farida Siddiqi Prity et al.
Consolidated efforts have been made to enhance the treatment and diagnosis of heart disease due to its detrimental effects on society. As technology and medical diagnostics become more synergistic, data mining and storing medical information can improve patient management opportunities. Therefore, i...
Ahmed Hossain, Sarker Mohammad Nasrullah, Zarrin Tasnim, Md. Kamrul Hasan et al.
BACKGROUND: Knowing the seroprevalence of SARS-CoV-2 IgG antibodies across geographic regions before vaccine administration is one key piece of knowledge to achieve herd immunity. While people of all ages, occupations, and communities are at risk of getting infected with SARS-CoV-2, the health care ...
Md. Shamim Reza, Fahmid Sadeque, Md Maruf Hossain, Amer M. Y. M. Ghias et al.
This paper proposes a technique for accurate phase estimation of distorted three-phase grid voltages including unbalanced amplitudes and/or phase angles. An adaptive cascaded delayed signal cancellation (CDSC) strategy is used for the generation of the amplitude balanced three-phase voltages. The CD...
Md. Imran Hossain, Md Shovon Zahid, Mohammad Asaduzzaman Chowdhury, Mir Md Maruf Hossain et al.
Recently, there have been notable advancements in energy harvesting from various sources, including mechanical vibrations, thermal gradients, and electromagnetic and solar radiations, intending to achieve sustainable micro/nanosystems. Micro-electromechanical systems (MEMS) and microfluidics have fa...
Md Shahin Ali, Md. Maruf Hossain, Moutushi Akter Kona, Kazi Rubaya Nowrin et al.
Cervical cancer is a significant public health concern among females worldwide. Despite being preventable, it remains a leading cause of mortality. Early detection is crucial for successful treatment and improved survival rates. This study proposes an ensemble Machine Learning (ML) classifier for ef...
Md. Amjad Hossen, A.S.M. Ali Reza, A. M. Abu Ahmed, Md. Kamrul Islam et al.
Blumea lacera (Burm.f.) DC. is described as a valuable medicinal plant in various popular systems of medicine. The aim of the experiment reports the in vivo antiulcer activity of methanol extract of Blumea lacera (MEBLL) and in silico studies of bioactive constituents of MEBLL. In this study, fasted...
M. Nazmul Hoque, Md. Murshed Hasan Sarkar, M. Shaminur Rahman, Shahina Akter et al.
The microbiota of the nasopharyngeal tract (NT) play a role in host immunity against respiratory infectious diseases. However, scant information is available on interactions of SARS-CoV-2 with the nasopharyngeal microbiome. This study characterizes the effects of SARS-CoV-2 infection on human nasoph...
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.
<p>Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to un...
Md. Amirul Islam, Most. Afia Akhtar, Monirul Islam, Md. Sazzad Hossain et al.
The antidiabetic and hypolipidemic effects of petroleum-ether, ethyl acetate and chloroform fractions from ethanolic extract of the leaves of Catharanthus roseus (C. roseus) were investigated in normal and streptozotocin-induced diabetic rats (SIDRs). Single doses (150 mg/kg, i.p.) of C. roseus extr...