98   Artículos

 
en línea
Yupu Huang, Li Zhuo and Jingjing Cao    
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi    
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Junfeng Wu, Huan Wang, Shanshan Li and Shuguang Liu    
This paper investigates the distance-based formation and cooperative path-following control problems for multiple fixed-wing unmanned aerial vehicles (UAVs). In this study, we design the distance-based formation control structure to achieve the virtual l... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chen Wang, Si-jia Zhao, Zong-qiang Ren and Qi Long    
Classifying a time series is a fundamental task in temporal analysis. This provides valuable insights into the temporal characteristics of data. Although it has been applied to traffic flow and individual-centered accessibility analysis, it has yet to be... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Usman Javed Butt, Osama Hussien, Krison Hasanaj, Khaled Shaalan, Bilal Hassan and Haider al-Khateeb    
As computer networks become increasingly important in various domains, the need for secure and reliable networks becomes more pressing, particularly in the context of blockchain-enabled supply chain networks. One way to ensure network security is by usin... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Bin Li, Yuqi Wang, Lisha Li and Yande Liu    
Machine learning is used widely in near-infrared spectroscopy (NIRS) for fruit qualification. However, the directly split training set used contains redundant samples, and errors may be introduced into the model. Euclidean distance-based and K-nearest ne... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Mengchuang Zhang, Shasha Xia, Yongsheng Huang, Jiawei Tian and Zhiping Yin    
Flight maneuver recognition (FMR) is a critical tool for capturing essential information about the state of an aircraft, which is necessary to improve pilot training, flight safety, and autonomous air combat. However, due to the alignment of multidimensi... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Nils Ahrenhold, Izabela Stasicka, Rabeb Abdellaoui, Thorsten Mühlhausen and Marco-Michael Temme    
Growing political pressure and widespread social concerns about climate change are triggering a paradigm shift in the aviation sector. Projects with the target of reducing aviation?s CO2 emissions and their impact on climate change are being launched to ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Katherine Ho and Rebecca Loraamm    
Animal movements are realizations of complex spatiotemporal processes. Central to these processes are the varied environmental contexts in which animals move, which fundamentally impact the movement trajectories of individuals at fine spatial and tempora... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Soorim Yang, Kyoung-Hwan Kim, Hye-Ryeong Jeong, Seokjun Lee and Jaeho Kim    
The COVID-19 pandemic has underscored the necessity for rapid contact tracing as a means to effectively suppress the spread of infectious diseases. Existing contact tracing methods leverage location-based or distance-based detection to identify contact w... ver más
Revista: Applied System Innovation    Formato: Electrónico

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