The low level of computational thinking skills of students is a problem of 21st-century skills. One of the efforts to support 21st-century education is by applying a Project-based learning model. This study aims to determine ...
Afroz, Sohana; Ullah Akhund, Tajim Md. Niamat; Khan, Tarikuzzaman; Hasan, Md. Umaid; Jesmin, Rashida; Sarker, M. Mesbahuddin(2023-09-15)
With the help of the Internet of things, therapeutic science has progressed surprisingly. Lots of elderly individuals are affected by Parkinson’s disease. This work proposed an Internet of sensing things-based system to ...
Wasima, Jeba; Hosen, Md. Faruk; D Cruze, Francis Rudra; Shahin Uddin, Muhammad(2024-12-20)
Hypertension is a serious cardiovascular disease that substantially raises morbidity and mortality rates worldwide. People who have high blood pressure have been found to have an increased risk of developing chronic kidney ...
Sarker, Sakib; Hosen, Md. Faruk; Abul Basar, Md.; Ahammed, Emon(2024-10-24)
The interplay between ulcerative colitis (UC) and colorectal cancer (CRC) has garnered significant research interest due to their potential shared molecular mechanisms. This study aims to identify common significant ...
Rana, Juwel; Ferdoush, Zannatul; Mukta, Nasima Akter; Akter, Fouzia; Sayed, K. M. Mahdiuzzaman; Shiraj-Um-Monira, Syeeda; Rahman, Afzal; Gulzarul Aziz, Mohammad; Roy Tusher, Tanmoy; Sarker, Aniruddha(2024-06-01)
Agricultural commodities including fresh and processed foods are highly perishable in nature and resulting in the generation of significant agro-waste during harvesting, processing, and post-consumption. In recent years, ...
Hepatitis C, caused by the hepatitis C virus, is a liver condition that can lead to severe complications if left untreated. The disease progresses through different stages, and while it is more easily treatable in the early ...
Pranta, Arnob Dhar; Rahaman, Md. Tareque; Repon, Md. Reazuddin; Shikder, Abdullah Al Rakib(Scopus, 2024)
This research work examines how consumer behavior and purchasing pattern are affected by recycled cotton-polyester blended clothing, with a particular emphasis on sustainable apparel merchandising. The use of recycled ...
Thottolia, Mohammed Muneerali; Islam, Md. Aminul; Abdullahd, A. B. M.; Hassanb, Md. Sharif; Ibrahim, Suraiya(Scopus, 2024-06-01)
: The objective of this study is to investigate diverse methods of enhancing learning in the fieldof accounting while bridging the gap between academic knowledge and the practical skillsrequired by accounting professionals. ...
In this paper, an analytical method is presented to assess the performance of bit error rate (BER) of a DC biased optical orthogonal frequency division multiplexing (DCO-OFDM) SMF transmission with distributed Raman amplifier ...
Hossain, Aowlad; Adham, Md. Ibrahim; Hasan, Mehedi; Ali, Mir Mohammad; Siddique, Md. Abu Bakar; Senapathi, Venkatramanan; Islam, Abu Reza Md. Towfiqul(Scopus, 2024)
The global concern over the pollution-induced by microplastics (MPs) has intensified due to its adverse effects on the environment, particularly in terrestrial ecosystems, where it poses potential threats to soil quality ...
Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning ...
This study conducted a comprehensive tracer analysis of 197 graduates from Daffodil International University’s Marketing bachelor program between 2019 and 2022. The main objective was to evaluate the program's alignment ...
The detection of coronavirus disease (COVID-19) using standard laboratory tests, such as reverse transcription polymerase chain reaction (RT-PCR), is time-consuming. Complex medical imaging problems are currently being ...
Salehin, Imrus; Noman, S.M.; Hasan, Mohammad Mahedy(Scopus, 2024)
The “BanE-16” dataset is a comprehensive repository integrating electricity grid dynamics with meteorological variables for machine learning-based energy forecasting. Featuring peak energy demand, environmental factors ...
Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning ...
This study assessed the efficacy of an Ammodaucus leucotrichus seed extract to treat rheumatoid arthritis in rat models of this disease. Rheumatoid arthritis was induced in rats using two methods: immunization with 100 µL ...
Metabolic syndrome (MetS) therapy with phytochemicals is an emerging field of study with therapeutic potential. Obesity, insulin resistance, high blood pressure, and abnormal lipid profiles are all components of metabolic ...
Ayman, Umme; Islam, Md. Shafiqul; Rahat, Md. Azmain Mahtab; Raza, Dewan Mamun; Chakraborty, Narayan Ranjan; Bijoy, Md. Hasan Imam(Scopus, 2024-12-19)
This paper investigates the classification of tense in English text using machine learning algorithms. Support Vector Machine (SVM), Random Forest (RF), Multinomial Naive Bayes (MNB), Decision Tree (DT), XGBoost, and ...
Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires ...
This paper implements the MATLAB Image Processing Toolbox in detecting the license plate region using several user-defined functions in order to pre-process and process the image up until the point of extraction of characters. ...