Zobrazeno 1 - 10
of 748
pro vyhledávání: '"Hasan, MD Mahmudul"'
Autor:
Hasan, Md Mahmudul
The component-level performance of materials is fundamentally determined by the underlying microstructural features. Therefore, designing high-performance materials using multi-scale models plays a significant role to improve the predictability, reli
Externí odkaz:
http://hdl.handle.net/10919/115651
Autor:
Hasan, Md. Mahmudul, Shaqib, SM, Akter, Ms. Sharmin, Alam, Rabiul, Haque, Afraz Ul, khushbu, Shahrun akter
The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system seeks to iden
Externí odkaz:
http://arxiv.org/abs/2406.07716
Autor:
Gazzard, Matthew, Hicks, Helen, Ihianle, Isibor Kennedy, Bird, Jordan J., Hasan, Md Mahmudul, Machado, Pedro
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to the financial burden on agriculture, the application of herbicides as a
Externí odkaz:
http://arxiv.org/abs/2405.07349
Since internet technologies have advanced, one of the primary factors in company development is customer happiness. Online platforms have become prominent places for sharing reviews. Twitter is one of these platforms where customers frequently post t
Externí odkaz:
http://arxiv.org/abs/2402.15992
Autor:
Monari, Dennis, Larkin, Jack, Machado, Pedro, Bird, Jordan J., Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Tash, Farhad Fassihi, Hasan, Md Mahmudul, Lotfi, Ahmad
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signa
Externí odkaz:
http://arxiv.org/abs/2401.06157
Autor:
Brahmavar, Shreyas Bhat, Rajesh, Rohit, Dash, Tirtharaj, Vig, Lovekesh, Verlekar, Tanmay Tulsidas, Hasan, Md Mahmudul, Khan, Tariq, Meijering, Erik, Srinivasan, Ashwin
Publikováno v:
IEEE International Conference on Image Processing (ICIP 2023)
Deep neural network (DNN) models for retinopathy have estimated predictive accuracies in the mid-to-high 90%. However, the following aspects remain unaddressed: State-of-the-art models are complex and require substantial computational infrastructure
Externí odkaz:
http://arxiv.org/abs/2303.02310
Autor:
Hasan, Md. Mahmudul1 (AUTHOR), Hasan, Md. Jahid1 (AUTHOR) jahidhasan@iut-dhaka.edu, Rahman, Parisha Binte2 (AUTHOR)
Publikováno v:
PLoS ONE. 9/19/2024, Vol. 19 Issue 9, p1-29. 29p.
Autor:
Hasan, Md Mahmudul, Faiz, Tasnim Ibn, Modestino, Alicia Sasser, Young, Gary J., Noor-E-Alam, Md.
Opioid Use Disorder (OUD) has reached an epidemic level in the US. Diversion of unused prescription opioids to secondary users and black market significantly contributes to the abuse and misuse of these highly addictive drugs, leading to the increase
Externí odkaz:
http://arxiv.org/abs/2205.12322
Autor:
Meraj, Sheikh Tanzim, Yu, Samson Shenglong, Hasan, Md Mahmudul, Lipu, M.S. Hossain, Elavarasan, Rajvikram Madurai, Shafiullah, G.M., Trinh, Hieu
Publikováno v:
In International Journal of Hydrogen Energy 11 November 2024 90:1477-1494
Autor:
Mondal, Pronoy, Hoque, Md. Sazedul, Rahman, Md. Arifur, Hasan, Md. Mahmudul, Chakma, Suprakash, Islam, Muhammad Saiful, Shahjahan, Md.
Publikováno v:
In Marine Pollution Bulletin November 2024 208