Zobrazeno 1 - 10
of 2 632
pro vyhledávání: '"object classification"'
Autor:
Apaydın Orhan, İşseven Turgay
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 249-63 (2024)
Buried objects with regular geometric shapes appear as hyperbolic structures in ground-penetrating radar (GPR) images. The shapes of these hyperbolic structures differ depending on the geometric shapes of the objects. In this study, current deep lear
Externí odkaz:
https://doaj.org/article/9e1915c31ad948ffbe05bfc69943b85f
Publikováno v:
Vehicles, Vol 6, Iss 3, Pp 1364-1382 (2024)
Accurate vehicle detection is crucial for the advancement of intelligent transportation systems, including autonomous driving and traffic monitoring. This paper presents a comparative analysis of two advanced deep learning models—YOLOv8 and YOLOv10
Externí odkaz:
https://doaj.org/article/b3e9412c267e429db0071f3e7c660cbc
Publikováno v:
Defence Technology, Vol 36, Iss , Pp 95-104 (2024)
Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces. For monitoring natural environments and conducting security activities within a certain range using a surface vehicle, the swarm robot system
Externí odkaz:
https://doaj.org/article/f5c00ed0e60f4ecbadb872f0d4260d5d
Publikováno v:
Machinery & Energetics, Vol 15, Iss 2, Pp 33-45 (2024)
This study aimed to train algorithms for detecting commercial unmanned aerial vehicles using machine learning techniques. Neural network architectures YOLOv8 and MobileNetV3 were used to detect unmanned aerial vehicles in images and videos. The model
Externí odkaz:
https://doaj.org/article/866770a165974941ba5db3ddb352f04e
Autor:
Kevin Kam Fung Yuen
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract This paper proposes a hybrid approach integrating the expert knowledge judgment approach using the Cognitive Pairwise Comparison (CPC) to the Deep Learning, a modern classification approach, for astronomic object classification. The astronom
Externí odkaz:
https://doaj.org/article/fa97e15e503b44fcb360df2978725709
Autor:
Katharina Wittmann, Mohamed Gamal Ibrahim, Andrew David Straw, Alexandra‐Maria Klein, Michael Staab
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 5, Pp 836-842 (2024)
Abstract Automated cameras (including camera traps) are an established observation tool, allowing, for example the identification of behaviours and monitoring without harming organisms. However, limitations including imperfect detection, insufficient
Externí odkaz:
https://doaj.org/article/a89f508273d64391ab5bdb6610c36374
Autor:
Reinaldo A.C. Bianchi, Hericles F. Ferraz, Rogério S. Gonçalves, Breno Moura, Daniel E.T. Sudbrack, Antoniele Merini, Maria de Lourdes G. Machado, Rodrigo Pires, Rafael Z. Homma
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110688- (2024)
High-voltage power line insulators are crucial for safe and efficient electricity transmission. However, real-world image limitations, particularly regarding dirty insulator strings, delay the development of robust algorithms for insulator inspection
Externí odkaz:
https://doaj.org/article/8d84595d8cef48f0bdd5c28f154a4898
Autor:
Zhazira Mutalova, Anargul Shaushenova, Ardak Nurpeisova, Maral Ongarbayeva, Aidar Ispussinov, Sandugash Bekenova, Zhanar Altynbekova
Publikováno v:
IEEE Access, Vol 12, Pp 169235-169246 (2024)
The development of mathematical models for detecting moving objects in real-time video streams is a significant task, especially in light of the growing demands for security and process automation. This paper proposes a detection system based on the
Externí odkaz:
https://doaj.org/article/a456f819ee964a7bb3fa37ab14c9df5c
Autor:
R. Karthik, Rohan Inamdar, S. Kavin Sundarr, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy
Publikováno v:
IEEE Access, Vol 12, Pp 158530-158545 (2024)
Three-dimensional (3D) object classification is crucial in various applications, including autonomous driving, robotics, and augmented reality, where precise detection of objects in 3D space is required. Traditional techniques for 3D object classific
Externí odkaz:
https://doaj.org/article/c1208b93418d4d098597fe11a956ce1b
Autor:
Muhammad Waqas Ahmed, Abdullah Alshahrani, Abrar Almjally, Naif Al Mudawi, Asaad Algarni, Khaled Al Nowaiser, Ahmad Jalal, Jeongmin Park
Publikováno v:
IEEE Access, Vol 12, Pp 142360-142379 (2024)
Object Classification in Remote Sensing Imagery holds paramount importance for extracting meaningful insights from complex aerial scenes. Conventional methods encounter challenges in achieving precision amidst diverse landscape features. This paper i
Externí odkaz:
https://doaj.org/article/847cd35292f24ab6812e1527e85b48e3