Zobrazeno 1 - 10
of 631
pro vyhledávání: '"multi-sensors"'
Autor:
Mohamed A. Abd El-Wahed, Osama M. K. Kassem, Abdelbaset M. Abudeif, Mohammed Abdelhameed, Mohamed Attia
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-31 (2024)
Abstract Integration between the analyses of both fieldwork and remote sensing dataset were employed to assess the structural evolution of molasse basins and explore gold mineral deposits in the El Qash area, Central Eastern Desert of Egypt. Sandston
Externí odkaz:
https://doaj.org/article/b69d578f75ec424690f1c2e5df1d5e0a
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37892- (2024)
Jingdong 120-meter radio telescope (JRT) is poised to become the world's largest single-aperture fully steerable medium-low frequency radio telescope. However, like other large-aperture radio telescopes, the JRT is vulnerable to wind loads, which can
Externí odkaz:
https://doaj.org/article/c28ab4591dac47a692314342a437962d
Autor:
Mouazma Batool, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee
Publikováno v:
IEEE Access, Vol 12, Pp 158388-158406 (2024)
Activity recognition from multiple sensors is a promising research area with various applications for remote human activity tracking in surveillance systems. Human activity recognition (HAR) aims to identify human actions and assign descriptors using
Externí odkaz:
https://doaj.org/article/d7c235cdc17646caae5b4a44113c5dd4
Publikováno v:
Intelligent and Converged Networks, Vol 4, Iss 4, Pp 342-354 (2023)
With the rapid growth of science and technology, the Internet of Things (IoT) technology has matured and attracted the attention of many researchers. The development of agricultural modernization leads to the gradual emergence of intelligent manageme
Externí odkaz:
https://doaj.org/article/460ce51b310f494ba9f5295d63dac292
Autor:
Fábio Marcelo Breunig, Ricardo Dalagnol, Lênio Soares Galvão, Polyanna da Conceição Bispo, Qing Liu, Elias Fernando Berra, William Gaida, Veraldo Liesenberg, Tony Vinicius Moreira Sampaio
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2686 (2024)
Precision agriculture integrates multiple sensors and data types to support farmers with informed decision-making tools throughout crop cycles. This study evaluated Aboveground Biomass (AGB) estimates of Rye using attributes derived from PlanetScope
Externí odkaz:
https://doaj.org/article/131bf73fd3e0477da46b2dc83a37b0bd
Autor:
Wendson de Oliveira Souza, Luis Gustavo de Moura Reis, Jaime Joaquim da Silva Pereira Cabral, Antonio Miguel Ruiz-Armenteros, Roberto Quental Coutinho, Admilson da Penha Pacheco, Wilson Ramos Aragão Junior
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2592 (2024)
The article addresses anthropogenic and geological conditions related to the development of soil subsidence in the western zone of Recife (Brazil). Over the past 50 years, human activity has intensified in areas previously affected by soft soils (cla
Externí odkaz:
https://doaj.org/article/4876ab9809d543a7b92b945a9c4c7723
Autor:
Jean-Marie Lepioufle, Philipp Schneider, Paul David Hamer, Rune Åvar Ødegård, Islen Vallejo, Tuan Vu Cao, Amir Taherkordi, Marek Wojcikowski
Publikováno v:
Environmental Data Science, Vol 3 (2024)
In environmental science, where information from sensor devices are sparse, data fusion for mapping purposes is often based on geostatistical approaches. We propose a methodology called adaptive distance attention that enables us to fuse sparse, hete
Externí odkaz:
https://doaj.org/article/3fb67e4e3aa84f16b19f2d9e5e92caac
Publikováno v:
Sensors, Vol 24, Iss 9, p 2878 (2024)
Sensor faults are one of the most common faults that cause performance degradation or functional loss in permanent magnet traction drive systems (PMTDSs). To quickly diagnose faulty sensors, this paper proposes a real-time joint diagnosis method for
Externí odkaz:
https://doaj.org/article/920ee2af0409413f9661ffecfbc515de
Publikováno v:
IEEE Access, Vol 11, Pp 110417-110441 (2023)
With the rapid development of autonomous driving, robotics, and intelligent transportation, multi-sensor-based environment sensing technology for intelligent vehicles has become a popular research direction. In order to better fuse the data acquired
Externí odkaz:
https://doaj.org/article/f539a1f828654c34b92d69f700af74b5
Publikováno v:
IEEE Access, Vol 11, Pp 107085-107107 (2023)
Vehicle localization plays a crucial role in ensuring the safe operation of autonomous vehicles and the development of intelligent transportation systems (ITS). However, there is insufficient effort to compare the performance and challenges of differ
Externí odkaz:
https://doaj.org/article/eab49ec11db044d89004d8bea535a313