|
|
|
|
|
Leonardo Cesanelli, Thomas Lagoute, Berta Ylaite, Julio Calleja-González, Eneko Fernández-Peña, Danguole Satkunskiene, Nuno Leite and Tomas Venckunas
The findings of the present study may inform decision-making for track cycling coaches and practitioners in planning talent identification and development strategies. Moreover, the results presented raise concerns and underscore the importance of disting...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiusheng Du, Chengyang Meng and Xingwang Liu
This study utilizes taxi trajectory data to uncover urban residents? travel patterns, offering critical insights into the spatial and temporal dynamics of urban mobility. A fusion clustering algorithm is introduced, enhancing the clustering accuracy of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Karolina Krajcek Nikolic, Petar Papoci, Dario Nikolic and Bruno Antulov-Fantulin
Fuel burn during the actual route flown is an important indicator of aircraft operational efficiency. This study aims to assess and systematically evaluate the method for fuel consumed during flights using data from the automatic dependent surveillance?b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jihong Wang, Zhuo Wang and Lidong Zhang
Clustering protocols and simultaneous wireless information and power transfer (SWIPT) technology can solve the issue of imbalanced energy consumption among nodes in energy harvesting-cognitive radio sensor networks (EH-CRSNs). However, dynamic energy cha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iman I. M. Abu Sulayman, Peter Voege and Abdelkader Ouda
The increasing significance of data analytics in modern information analysis is underpinned by vast amounts of user data. However, it is only feasible to amass sufficient data for various tasks in specific data-gathering contexts that either have limited...
ver más
|
|
|
|
|
|
|
|
|
|
|
Georg Gartner, Olesia Ignateva, Bibigul Zhunis and Johanna Pühringer
Maps are the culmination of numerous choices, with many offering multiple alternatives. Not all of these choices are inherently guided by default, clarity, or universally accepted best practices, guidelines, or recommendations. In the realm of cartograph...
ver más
|
|
|
|
|
|
|
|
|
|
|
Josue-Rafael Montes-Martínez, Hugo Jiménez-Hernández, Ana-Marcela Herrera-Navarro, Luis-Antonio Díaz-Jiménez, Jorge-Luis Perez-Ramos and Julio-César Solano-Vargas
Artificial vision system applications have generated significant interest as they allow information to be obtained through one or several of the cameras that can be found in daily life in many places, such as parks, avenues, squares, houses, etc. When th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mark A. Denisenko, Alina S. Isaeva, Alexander S. Sinyukin and Andrey V. Kovalev
The fast, convenient, and accurate determination of railroad cars? load mass is critical to ensure safety and allow asset counting in railway infrastructure. In this paper, we propose a method for modeling the mechanical deformations that occur in the ra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chen Xia, Christian Eduardo Verdonk Gallego, Adrián Fabio Bracero, Víctor Fernando Gómez Comendador and Rosa María Arnaldo Valdés
This paper investigates the impact of trajectory predictor performance on the encounter probability generated by an adaptive conflict detection tool and examines the flexibility of the tool dependent on its adjustable thresholds, using historical radar t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
ver más
|
|
|
|
|
|