Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Mohammad Farhad"'
Autor:
Muhammad Ishaq, Sana Zahir, Laila Iftikhar, Mohammad Farhad Bulbul, Seungmin Rho, Mi Young Lee
Publikováno v:
IEEE Access, Vol 12, Pp 88332-88344 (2024)
In order to predict and fill in the gaps in categorical datasets, this research looked into the use of machine learning algorithms. The emphasis was on ensemble models constructed using the Error Correction Output Codes (ECOC) framework, including mo
Externí odkaz:
https://doaj.org/article/370c2ef1e2d843169125f9e29e8ea3fa
Autor:
Sayma Tahsin Nira, Mohammad Farhad Hossain, Nur Uddin Mahmud, Oliul Hassan, Tofazzal Islam, Abdul Mannan Akanda
Publikováno v:
Plant Protection Science, Vol 58, Iss 1, Pp 49-56 (2022)
This study aimed to isolate and characterise the pathogen associated with Alternaria leaf spot on broccoli and to evaluate the inhibitory effects of fungicides against it. We isolated and identified the fungal pathogen as Alternaria sp. using morphol
Externí odkaz:
https://doaj.org/article/64f6f9949fe4446d95a28097e36b4455
Publikováno v:
IEEE Access, Vol 10, Pp 99709-99723 (2022)
Crowd sourcing and human computation has slowly become a mainstay for many application areas that seek to leverage the crowd in the development of high quality datasets, annotations, and problem solving beyond the reach of current AI solutions. One o
Externí odkaz:
https://doaj.org/article/c888ebfe45ae45cd8fee2db92bd19ed7
Autor:
Pradeep Bhandari, Laurence B Lovat, Rehan Haidry, Krish Ragunath, Hugh Barr, Clive Stokes, Mohammad Farhad Peerally, Howard Smart, John De Caestecker, Clare Jackson
Publikováno v:
BMJ Open, Vol 13, Iss 1 (2023)
Objectives Strong recruitment and retention into randomised controlled trials involving invasive therapies is a matter of priority to ensure better achievement of trial aims. The BRIDE (Barrett’s Randomised Intervention for Dysplasia by Endoscopy)
Externí odkaz:
https://doaj.org/article/a2c627e57fa44367b82a524d0bc38433
Autor:
Mohammad Farhad Bulbul, Hazrat Ali
Publikováno v:
SN Applied Sciences, Vol 3, Iss 5, Pp 1-13 (2021)
Article Highlights The work proposes to process depth action videos through 3D Motion Trail Model (3DMTM) to represent the video as a set of 2D motion and motionless images. This work improves the above action representation by configuring all the 2D
Externí odkaz:
https://doaj.org/article/dbab438939304ebd943679b01444eb7b
Autor:
Mohammad Ismail, Mohammad Farhad Hussain, Mohammad Abdullah al Hasan, AHM Mustafa Kamal, Monjur Rahman, Mohammad Jahid Hasan
Publikováno v:
Journal of Migration and Health, Vol 6, Iss , Pp 100123- (2022)
Background: Forcibly Displaced Myanmar Nationals (FDMNs) or Rohingya refugees are one of the vulnerable groups suffering from different kinds of health problems but have been less reported yet. Therefore, the study was designed to delineate the healt
Externí odkaz:
https://doaj.org/article/490dd3ff9bdf485ab77d85ea6c45e4a1
Autor:
Hazrat Ali, Khalid Iqbal, Ghulam Mujtaba, Ahmad Fayyaz, Mohammad Farhad Bulbul, Fazal Wahab Karam, Ali Zahir
Publikováno v:
PeerJ Computer Science, Vol 7, p e717 (2021)
Text detection in natural scene images for content analysis is an interesting task. The research community has seen some great developments for English/Mandarin text detection. However, Urdu text extraction in natural scene images is a task not well
Externí odkaz:
https://doaj.org/article/cba319e065d84df68f03fa6793cd2b55
Publikováno v:
Sensors, Vol 22, Iss 18, p 6841 (2022)
Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models. This scarcity limits the research advancements based on depth data, as training deep models with small-scale da
Externí odkaz:
https://doaj.org/article/adc0ebc00dca4a05a51b31ef0ee7d40a
Autor:
Abdulla - Al - Mamun, Tianqing An, Nur Hasan Mahmud Shahen, Samsun Nahar Ananna, Foyjonnesa, Mohammad Farhad Hossain, Tasiu Muazu
Publikováno v:
Results in Physics, Vol 19, Iss , Pp 103517- (2020)
In this paper, the new 3D fractional Wazwaz-Benjamin-Bona-Mahony (WBBM) equations newly announced are investigated with the introduction of the spatial and sequential fractional-order derivatives expending in the sense of conformable derivative. Seve
Externí odkaz:
https://doaj.org/article/b15261ca83864b238d6a46499f041950
Publikováno v:
Sensors, Vol 21, Iss 11, p 3642 (2021)
This paper proposes an action recognition framework for depth map sequences using the 3D Space-Time Auto-Correlation of Gradients (STACOG) algorithm. First, each depth map sequence is split into two sets of sub-sequences of two different frame length
Externí odkaz:
https://doaj.org/article/8e24baa35daf44329130c0f3f0703fb2