Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aboli Marathe"'
Publikováno v:
Drones, Vol 5, Iss 3, p 66 (2021)
Object detection in uncrewed aerial vehicle (UAV) images has been a longstanding challenge in the field of computer vision. Specifically, object detection in drone images is a complex task due to objects of various scales such as humans, buildings, w
Externí odkaz:
https://doaj.org/article/ced7c6c35122450482b7aafbc984494b
Publikováno v:
2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT).
Publikováno v:
2022 IEEE 7th International conference for Convergence in Technology (I2CT).
Modern applications such as self-driving cars and drones rely heavily upon robust object detection techniques. However, weather corruptions can hinder the object detectability and pose a serious threat to their navigation and reliability. Thus, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba670f1b71e15c1c1eddad3a85383c8
http://arxiv.org/abs/2204.01719
http://arxiv.org/abs/2204.01719
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
The computer vision systems driving autonomous vehicles are judged by their ability to detect objects and obstacles in the vicinity of the vehicle in diverse environments. Enhancing this ability of a self-driving car to distinguish between the elemen
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789811629334
The United Nations Development Programme (UNDP) has set up the Sustainable Development Goals (SDG) to ensure social development, environmental protection as well as economic goals to be achieved by 2050. This study focused on how we can inch towards
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403fc96284d778bd3f8823e8f2390ead
https://doi.org/10.1007/978-981-16-2934-1_19
https://doi.org/10.1007/978-981-16-2934-1_19
Publikováno v:
ICCCNT
This study aims to introduce an example of a data science pipeline integrating Machine Learning, Statistics, Data Visualization and GIS techniques for open big data in sustainable development. The chosen techniques have been implemented on the Tree C