Zobrazeno 1 - 10
of 537
pro vyhledávání: '"Md Abdus, Samad"'
Publikováno v:
ICT Express, Vol 10, Iss 6, Pp 1280-1287 (2024)
This study explores the global problem of misinformation dissemination on social media, particularly Twitter, due to the COVID-19 pandemic. It identifies prominent disseminators, investigates the spread of false information and the ecosystem of disin
Externí odkaz:
https://doaj.org/article/d0f115c841cf4b6db6c635da1bf0b7d6
Autor:
Shakib Mahmud Dipto, Md Tanzim Reza, Nadia Tasnim Mim, Amel Ksibi, Shrooq Alsenan, Jia Uddin, Md Abdus Samad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract In recent times, automated detection of diseases from pathological images leveraging Machine Learning (ML) models has become fairly common, where the ML models learn detecting the disease by identifying biomarkers from the images. However, s
Externí odkaz:
https://doaj.org/article/58eb3abf886d40c3bcc48b9825b6fc36
Autor:
Md Nuho Ul Alam, Ibrahim Hasnine, Erfanul Hoque Bahadur, Abdul Kadar Muhammad Masum, Mercedes Briones Urbano, Manuel Masias Vergara, Jia Uddin, Imran Ashraf, Md. Abdus Samad
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-37 (2024)
Abstract Non-Insulin-Dependent Diabetes Mellitus (NIDDM) is a chronic health condition caused by high blood sugar levels, and if not treated early, it can lead to serious complications i.e. blindness. Human Activity Recognition (HAR) offers potential
Externí odkaz:
https://doaj.org/article/ea95c3aff5af4ddea13cc2cb5deb9b36
Publikováno v:
Journal of Computer Science, 18(12), 1170-1178 (2022)
Microblog, an online-based broadcast medium, is a widely used forum for people to share their thoughts and opinions. Recently, Emotion Recognition (ER) from microblogs is an inspiring research topic in diverse areas. In the machine learning domain, a
Externí odkaz:
http://arxiv.org/abs/2301.02971
Autor:
Tumpa Rani Shaha, Momotaz Begum, Jia Uddin, Vanessa Yélamos Torres, Josep Alemany Iturriaga, Imran Ashraf, Md. Abdus Samad
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponential growth and exerts a substantial influence on premature mortality. Although numerous research applied machine learning methods to forecas
Externí odkaz:
https://doaj.org/article/85114c1786a94650aeca8cb6263514a7
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1275-1288 (2024)
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality. G
Externí odkaz:
https://doaj.org/article/f23baa2942a840d0a48c937364acacdf
Autor:
Imran Raza, Muhammad Hasan Jamal, Rizwan Qureshi, Abdul Karim Shahid, Angel Olider Rojas Vistorte, Md Abdus Samad, Imran Ashraf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address thi
Externí odkaz:
https://doaj.org/article/414300f8659845379b9463a6b785520b
Autor:
Tabassum, Nusrath1 yamada@gunma-u.ac.jp, Kamal, Md Abdus Samad1 maskamal@gunma-u.ac.jp, Akhand, M. A. H.2 akhand@cse.kuet.ac.bd, Yamada, Kou1
Publikováno v:
BioMedInformatics. Jun2024, Vol. 4 Issue 2, p1275-1288. 14p.
Autor:
Md Abdus Samad, K. M. Yasif Kayes Sikdar, Ashfia Tasnim Munia, Farhan Tanvir Patwary, Md Raihan Sarkar, Md. Rashidul Islam Rashed
Publikováno v:
Health Science Reports, Vol 7, Iss 8, Pp n/a-n/a (2024)
Abstract Background and Objectives Prescription errors can inadvertently compromise the effectiveness and increase the risk of adverse events. This study aims to compare prescription patterns and errors between government and private hospitals in Dha
Externí odkaz:
https://doaj.org/article/fd62ccc3ae33449da48cedb625d057f3
Autor:
Mohammed Abdul Kader, Muhammad Ahsan Ullah, Md Saiful Islam, Fermín Ferriol Sánchez, Md Abdus Samad, Imran Ashraf
Publikováno v:
AIMS Mathematics, Vol 9, Iss 3, Pp 6668-6698 (2024)
Air-writing is a widely used technique for writing arbitrary characters or numbers in the air. In this study, a data collection technique was developed to collect hand motion data for Bengali air-writing, and a motion sensor-based data set was prepar
Externí odkaz:
https://doaj.org/article/3b31ef21789743e4a5ae075d30f43b7e