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O. F. Tri Maryana, L. Y. Ginting, F. Pahlawan, M. Y. Darmawan
Pág. 90 - 95
Nowadays, invisibility efforts by scientists and engineers have focused on building a large broadband, multidirectional cloaking device. The device is usually a cloak that works in macroscopic dimensions and for the entire visible spectrum. Addition with...
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Ali Dorosti, Ali Asghar Alesheikh and Mohammad Sharif
Advancements in navigation and tracking technologies have resulted in a significant increase in movement data within road networks. Analyzing the trajectories of network-constrained moving objects makes a profound contribution to transportation and urban...
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Ai-Sheng Wang, Zhang-Cai Yin and Shen Ying
The possibility of moving objects accessing different types of points of interest (POIs) at specific times is not always the same, so quantitative time geography research needs to consider the actual POI semantic information, including POI attributes and...
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Leonard Vance, Agustin Espinoza, Jorge Martinez Dominguez, Salil Rabade, Gavin Liu and Jekan Thangavelautham
Sustainable space exploration will require using off-world resources for propellant generation. Using off-world-generated propellants significantly increases future missions? range and payload capacity. Near Earth Objects (NEOs) contain a range of availa...
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Katarzyna Matys-Popielska, Krzysztof Popielski, Paulina Matys and Anna Sibilska-Mroziewicz
Stroke is a leading cause of disability among adults in Europe. Complications following stroke include limb paresis and unilateral spatial neglect (USN) syndrome. These complications significantly reduce the patient?s ability to function normally both in...
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Julio-Alejandro Romero-González, Diana-Margarita Córdova-Esparza, Juan Terven, Ana-Marcela Herrera-Navarro and Hugo Jiménez-Hernández
This paper introduces a novel background subtraction method that utilizes texture-level analysis based on the Gabor filter bank and statistical moments. The method addresses the challenge of accurately detecting moving objects that exhibit similar color ...
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Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som...
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Zhangcai Yin, Yuan Chen and Shen Ying
Time geography considers that the motion of moving objects can be expressed using space?time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patter...
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Francisco Javier Moreno Arboleda, Georgia Garani and Simon Zea Gallego
In this paper, a measure is proposed that, based on the trajectories of moving objects, computes the speed limit rate in each of the cells in which a region is segmented (the space where the objects move). The time is also segmented into intervals. In th...
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Adi Wibowo, Joga Dharma Setiawan, Hadha Afrisal, Anak Agung Sagung Manik Mahachandra Jayanti Mertha, Sigit Puji Santosa, Kuncoro Budhi Wisnu, Ambar Mardiyoto, Henri Nurrakhman, Boyi Kartiwa and Wahyu Caesarendra
Human eyes generally perform product defect inspection in Indonesian industrial production lines; resulting in low efficiency and a high margin of error due to eye tiredness. Automated quality assessment systems for mass production can utilize deep learn...
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