Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Md. Mahedi Hassan"'
Autor:
Muhammad Nasir Hayat Malik, Muhammad Nouman Tahir, Tariq G. Alsahli, Md. Mahedi Hassan Tusher, Sami I. Alzarea, Bader Alsuwayt, Shah Jahan, Hesham A. M. Gomaa, Mohamed E. Shaker, Muhammad Ali, Irfan Anjum, Muhammad Tariq Khan, Muhammad Roman, Ramla Shabbir
Publikováno v:
ACS Omega, Vol 8, Iss 40, Pp 37128-37139 (2023)
Externí odkaz:
https://doaj.org/article/e77f38e105fe45ab969e278ba0eaa3a6
Autor:
Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, Amrina Rahman
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 2, Pp 92-104 (2023)
Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues, early identification may minimize the prevalence of chronic diseases,
Externí odkaz:
https://doaj.org/article/7a880b1e8396435ebe49415743a539eb
Autor:
Md. Hafizur Rahman, Md. Asrafuzzaman, Md. Mahedi Hassan Tusher, M. Mosihuzzaman, Md Shahinul Haque Khan, Mohammad Shoeb, Begum Rokeya
Publikováno v:
Journal of Ayurveda and Integrative Medicine, Vol 14, Iss 5, Pp 100776- (2023)
Background: Psidium guajava L (Guava) belongs to the Myrtaceae family and has been claimed to possess several pharmacological properties including antidiabetic. Objective: This study was designed to evaluate the anti-hyperglycemic activity of P guaja
Externí odkaz:
https://doaj.org/article/57073d4d9c6b494082c51e0b3e65a1d3
Autor:
Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Md. Asif Rakib Khan, Md. Mahedi Hassan, Farhana Yasmin, Anindya Nag, Tazria Helal Zarin, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai
Publikováno v:
IEEE Access, Vol 11, Pp 132196-132222 (2023)
Rainfall prediction plays a crucial role in raising awareness about the potential dangers associated with rain and enabling individuals to take proactive measures for their safety. This study aims to utilize machine learning algorithms to accurately
Externí odkaz:
https://doaj.org/article/73b2ad4204c1443687c123f9a8ffc5db
Autor:
Md. Mehedi Hassan, Md. Mahedi Hassan, Laboni Akter, Md. Mushfiqur Rahman, Sadika Zaman, Khan Md. Hasib, Nusrat Jahan, Raisun Nasa Smrity, Jerin Farhana, M. Raihan, Swarnali Mollick
Publikováno v:
Human-Centric Intelligent Systems, Vol 1, Iss 3-4, Pp 86-97 (2021)
Abstract The quality of water has a direct influence on both human health and the environment. Water is utilized for a variety of purposes, including drinking, agriculture, and industrial use. The water quality index (WQI) is a critical indication fo
Externí odkaz:
https://doaj.org/article/d5047b6e0dec46f99df97099ed28b413
Autor:
Md. Mahedi Hassan, Neena Joshi
Publikováno v:
Heliyon, Vol 6, Iss 1, Pp e03136- (2020)
Immature Dolichos bean is popular in the Asian region, which is a potent source of vitamin C, antioxidants as well as other macro and micronutrients. Extending shelf life with retaining maximum quality parameters through hydrothermal treatments (HTT)
Externí odkaz:
https://doaj.org/article/65b898fa9da44b3bba5af899f1bddd10
Autor:
Rahman, Md. Hafizur, Asrafuzzaman, Md., Tusher, Md. Mahedi Hassan, Mosihuzzaman, M., Khan, Md Shahinul Haque, Shoeb, Mohammad, Rokeya, Begum
Publikováno v:
In Journal of Ayurveda and Integrative Medicine September-October 2023 14(5)
Akademický článek
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Autor:
Md. Mehedi Hassan, Sadika Zaman, Swarnali Mollick, Md. Mahedi Hassan, M. Raihan, Chetna Kaushal, Rajat Bhardwaj
Publikováno v:
Innovations in Systems and Software Engineering. 19:61-69
Autor:
Md. Ashikuzzaman, Shahriyar, Sayeed, Lijon, Mohammed Bakhtiar, Md. Atiqur Rahman, Md. Mahedi Hassan, Abdulla-Al-Asif
The presence of high concentration of toxic heavy metals in industrial waste directly leads to contamination of receiving soil and water bodies and has deleterious impact on both human health and aquatic life. In the present study samples from textil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9218c251429498240c27f2847a19d5c