Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Jean Vincent Fonou-Dombeu"'
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 2182-2207 (2024)
Object detection in remotely sensed (RS) satellite imagery has gained significance in smart city concepts, which include urban planning, disaster management, and environmental monitoring. Deep learning techniques have shown promising outcomes in obje
Externí odkaz:
https://doaj.org/article/4d381b85d42e40d8a0099348e6851c89
Publikováno v:
IEEE Access, Vol 12, Pp 82354-82383 (2024)
Researchers are working towards automation of ontology construction to manage the ever-growing data on the web. Currently, there is a shift from the use of machine learning techniques towards exploration of deep learning models for ontology construct
Externí odkaz:
https://doaj.org/article/d8bcc85b002c4cbe969f701729745a28
Autor:
Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Mohanad Mohammed, Japie Greeff, Murtada K. Elbashir
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Lung cancer, a life-threatening disease primarily affecting lung tissue, remains a significant contributor to mortality in both developed and developing nations. Accurate biomarker identification is imperative for effective cancer diagnosis
Externí odkaz:
https://doaj.org/article/7e5f5947ddc64b2089d19a2c11a5415c
Autor:
Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Abiodun M. Ikotun, Mohanad Mohammed
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Breast cancer is considered one of the significant health challenges and ranks among the most prevalent and dangerous cancer types affecting women globally. Early breast cancer detection and diagnosis are crucial for effective treatment and
Externí odkaz:
https://doaj.org/article/be337eb958634bfb8e11b1cc6fc0792b
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Modern earth observation sensors have revolutionized the remote sensing community by improving remote sensing image quality. However, Pixel-based image analysis methods have challenges in handling very high-resolution (VHR) imagery. Geographic Based
Externí odkaz:
https://doaj.org/article/bc07a390f8f14e8393abe2895167b174
Publikováno v:
Journal of Imaging, Vol 10, Iss 6, p 132 (2024)
Forests play a pivotal role in mitigating climate change as well as contributing to the socio-economic activities of many countries. Therefore, it is of paramount importance to monitor forest cover. Traditional machine learning classifiers for segmen
Externí odkaz:
https://doaj.org/article/2842e6bf9b7c4b53a1d899748ab24e8c
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 3, p 19 (2024)
Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies
Externí odkaz:
https://doaj.org/article/a8fb5641edd8437d800ea3f9a6eda8ae
Publikováno v:
Future Internet, Vol 15, Iss 7, p 229 (2023)
Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy string-matching algorithms have been developed for strings similarity de
Externí odkaz:
https://doaj.org/article/40b902af943f444e96ea1c1ee8a29f6c
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 5060 (2023)
Most existing approaches to image classification neglect the concept of semantics, resulting in two major shortcomings. Firstly, categories are treated as independent even when they have a strong semantic overlap. Secondly, the features used to class
Externí odkaz:
https://doaj.org/article/e9200dd2b1f64e6bb9f1caa90b506375
Publikováno v:
Future Internet, Vol 14, Iss 10, p 271 (2022)
The high number of ontologies available on the web to date makes it increasingly difficult to select appropriate ontologies for reuse. Many studies have attempted to provide support for ontology selection and ranking; however, the existing studies pr
Externí odkaz:
https://doaj.org/article/b106a50e39cf4b4e85c07e6c1e0d240a