Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Humaun Kabir"'
Autor:
Md. Humaun Kabir, Md. Nahidul Islam, Md. Abdul wazed, Minhaz Ahmed, Md. Sazzat Hossain Sarker
Publikováno v:
Applied Food Research, Vol 4, Iss 2, Pp 100587- (2024)
Awareness of the nutritional value and health benefits of milled rice is crucial for its role as a staple food. This study explores the impact of different degrees of milling (DOM)—5%, 7%, and 9%—on head rice yield, proximate composition (protein
Externí odkaz:
https://doaj.org/article/fc644a9a979845818a742848c93d9423
Autor:
Hossain, M. Khalid, Rubel, Mirza Humaun Kabir, Toki, G. F. Ishraque, Alam, Intekhab, Rahman, Md. Ferdous, Bencherif, H.
CsPbI3 has recently received tremendous attention as a possible absorber of perovskite solar cells (PSCs). However, CsPbI3-based PSCs have yet to achieve the high performance of the hybrid PSCs. In this work, we performed a density functional theory
Externí odkaz:
http://arxiv.org/abs/2211.02968
Autor:
Mannan, Md. Abdul, Rubel, Mirza Humaun Kabir, Rahman, Md. Abdur, Hamid, Anwar Ul, Uddin, Md Borhan, Kitamura, Shota, Shimoyoshi, Manami, Kodama, Taiga, Sonda, Kousuke, Douyama, Hiroki, Nagata, Yu, Masumoto, Keigo, Kida, Tetsuya
Publikováno v:
In Journal of Alloys and Compounds 15 October 2024 1002
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 332-342 (2024)
Finding patterns in biological sequences is a crucial and intriguing task. This paper explores the (Ɩ, d) motif search problem, also known as Planted Motif Search (PMS), and discusses its challenging nature as an NP-hard problem. PMS and (Ɩ, d) mot
Externí odkaz:
https://doaj.org/article/94aa2bc5cbf0449e8e3d4348adf5f1e5
Publikováno v:
IEEE Access, Vol 12, Pp 142606-142639 (2024)
Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance natural, efficient, and authentic human-computer interaction, especially benefiting those who rely solely on hand gestures for communication. Despite significant progr
Externí odkaz:
https://doaj.org/article/d3b597e9303a4fc5a40e91588bf50e9f
Publikováno v:
Lubricants, Vol 12, Iss 11, p 373 (2024)
The transition to electric vehicles (EVs) has introduced new challenges in lubrication, demanding innovative solutions to ensure consistent performance. One promising approach is the use of nanoparticle additives, which have the potential to improve
Externí odkaz:
https://doaj.org/article/d35a5be77aa14dca9d167ac0367604d9
Autor:
Md. Humaun Kabir, Nadim Ibne Akhtar, Nishat Tasnim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin
Publikováno v:
Sensors, Vol 24, Iss 15, p 4989 (2024)
The accuracy of classifying motor imagery (MI) activities is a significant challenge when using brain–computer interfaces (BCIs). BCIs allow people with motor impairments to control external devices directly with their brains using electroencephalo
Externí odkaz:
https://doaj.org/article/f56ce8ac38ce484a92902e4d30183701
Autor:
Vasyl Lozynskyi, Bohdan Trembach, Md Mukter Hossain, Mohammad Humaun Kabir, Yury Silchenko, Michal Krbata, Kostiantyn Sadovyi, Oleksii Kolomiitse, Liubomyr Ropyak
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25199- (2024)
Alloys of the Fe–Cr–C–B–Ti alloy system are characterized by brittleness, which can be eliminated by the copper alloy, while corrosion resistance and abrasive wear resistance are significantly reduced. In this article, comprehensive investiga
Externí odkaz:
https://doaj.org/article/3df4f034aa3a40088d1b764cedde6354
Autor:
Anni-Maria Örmälä-Tiznado, Lisa Allander, Makaoui Maatallah, Muhammad Humaun Kabir, Sylvain Brisse, Linus Sandegren, Sheetal Patpatia, Maarten Coorens, Christian G. Giske
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 2 (2024)
ABSTRACTExtensively drug-resistant (XDR) Klebsiella pneumoniae inflict a notable burden on healthcare worldwide. Of specific concern are strains producing carbapenem-hydrolyzing enzymes, as the therapeutic options for these strains are still very lim
Externí odkaz:
https://doaj.org/article/dbea8406f1f9474db7ef2690e08e6cec
Publikováno v:
Computer Science Journal of Moldova, Vol 31, Iss 1(91), Pp 70-85 (2023)
Machine translation (MT) is the process of translating text from one language to another using bilingual data sets and grammatical rules. Recent works in the field of MT have popularized sequence-to-sequence models leveraging neural attention and dee
Externí odkaz:
https://doaj.org/article/1864c6a58d80468a97ad863ccc7699d5