Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Johan Potgieter"'
Publikováno v:
Sensors, Vol 24, Iss 9, p 2930 (2024)
Low-cost ambient sensors have been identified as a promising technology for monitoring air pollution at a high spatio-temporal resolution. However, the pollutant data captured by these cost-effective sensors are less accurate than their conventional
Externí odkaz:
https://doaj.org/article/6714b9a5bd1c4eaa8810848179a5b6e6
Publikováno v:
Plasmatology, Vol 17 (2023)
Background Haemophilia A (HA) is a bleeding disorder, due to a deficiency in factor VIII (FVIII). These patients are unable to produce a stable fibrin clot in the propagation phase of coagulation as they do not generate sufficient thrombin. The prima
Externí odkaz:
https://doaj.org/article/a4048d9a15ca4a0a9fc7b3b707f0f7dd
Publikováno v:
IEEE Access, Vol 10, Pp 89798-89822 (2022)
Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural conditions have not yet been explored. For example, the disease should be considered not only o
Externí odkaz:
https://doaj.org/article/5ac6cf7241474715b3fe47b4e6c32ffc
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Deep learning (DL) is an effective approach to identifying plant diseases. Among several DL-based techniques, transfer learning (TL) produces significant results in terms of improved accuracy. However, the usefulness of TL has not yet been explored u
Externí odkaz:
https://doaj.org/article/9d1b6de8fb914a4c980aa2b6cd96ac9c
Publikováno v:
African Journal of Laboratory Medicine, Vol 11, Iss 1, Pp e1-e5 (2022)
Background: Haemoglobinopathies are one of the most common inherited diseases worldwide. Quantification of haemoglobin A2 is necessary for the diagnosis of the beta thalassaemia trait. In this context, it is important to have a reliable reference int
Externí odkaz:
https://doaj.org/article/584d0cb2c6f548f1be674fbcc3b0ca19
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The accurate identification of weeds is an essential step for a site-specific weed management system. In recent years, deep learning (DL) has got rapid advancements to perform complex agricultural tasks. The previous studies emphasized the evaluation
Externí odkaz:
https://doaj.org/article/9a2a9b298c564f8eb20973742c480b41
Publikováno v:
Sensors, Vol 23, Iss 2, p 854 (2023)
The advent of cost-effective sensors and the rise of the Internet of Things (IoT) presents the opportunity to monitor urban pollution at a high spatio-temporal resolution. However, these sensors suffer from poor accuracy that can be improved through
Externí odkaz:
https://doaj.org/article/61dc11a33bbb4a87a72c36be9e672ae3
Publikováno v:
Agronomy, Vol 12, Iss 7, p 1580 (2022)
To apply weed control treatments effectively, the weeds must be accurately detected. Deep learning (DL) has been quite successful in performing the weed identification task. However, various aspects of the DL have not been explored in previous studie
Externí odkaz:
https://doaj.org/article/8c4601564ff2481787aac7ee1edd06b5
Autor:
Muhammad Harris, Hammad Mohsin, Rakhshanda Naveed, Johan Potgieter, Kashif Ishfaq, Sudip Ray, Marie-Joo Le Guen, Richard Archer, Khalid Mahmood Arif
Publikováno v:
Polymers, Vol 14, Iss 8, p 1527 (2022)
Despite the extensive research, the moisture-based degradation of the 3D-printed polypropylene and polylactic acid blend is not yet reported. This research is a part of study reported on partial biodegradable blends proposed for large-scale additive
Externí odkaz:
https://doaj.org/article/0f0b5723ef6242ea9b3e2a24cd7c116b
Partial Biodegradable Blend with High Stability against Biodegradation for Fused Deposition Modeling
Autor:
Muhammad Harris, Hammad Mohsin, Johan Potgieter, Kashif Ishfaq, Richard Archer, Qun Chen, Karnika De Silva, Marie-Joo Le Guen, Russell Wilson, Khalid Mahmood Arif
Publikováno v:
Polymers, Vol 14, Iss 8, p 1541 (2022)
This research presents a partial biodegradable polymeric blend aimed for large-scale fused deposition modeling (FDM). The literature reports partial biodegradable blends with high contents of fossil fuel-based polymers (>20%) that make them unfriendl
Externí odkaz:
https://doaj.org/article/898fe5a94969455b90e19f4596487c8e