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Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris and Takis Varelas
Trajectory data holds pivotal importance in the shipping industry and transcend their significance in various domains, including transportation, health care, tourism, surveillance, and security. In the maritime domain, improved predictions for estimated ...
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Bing Su and Jiwu Liang
With the innovation of wireless communication technology and the surge of data in mobile networks, traditional routing strategies need to be improved. Given the shortcomings of existing opportunistic routing strategies in transmission performance and sec...
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Basma Latrech, Taoufik Hermassi, Samir Yacoubi, Adel Slatni, Fathia Jarray, Laurent Pouget and Mohamed Ali Ben Abdallah
Systematic biases in general circulation models (GCM) and regional climate models (RCM) impede their direct use in climate change impact research. Hence, the bias correction of GCM-RCMs outputs is a primary step in such studies. This study compares the p...
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Ligang Yuan, Jing Liu, Haiyan Chen, Daoming Fang and Wenlu Chen
Scene taxiing time is an important indicator for assessing the operational efficiency of airports as well as green airports, and it is also a fundamental parameter in flight regularity statistics. The accurate prediction of taxiing time can help decision...
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Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas and Nikolaos Giannakeas
The aim of this work is to highlight the possibilities of using VR applications in the informal learning process. This is attempted through the development of virtual reality cultural applications for historical monuments. For this purpose, the theoretic...
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Syed Raza Bashir, Shaina Raza and Vojislav B. Misic
Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users? historical...
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Morteza Hazbei and Carmela Cucuzzella
?Context? holds a broad meaning in architectural discourse, and its definition and components have evolved over time. A comparison between contemporary parametric design and overall architectural practices reveals a contradictory connotation of context i...
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Aglaia Foteinou, Damian Murphy and J. P. D. Cooper
This paper presents an acoustic reconstruction of the UK House of Commons between c. 1820 and 1834. Focusing on a historically important site where political decisions were debated over the centuries, we aim to simulate and present the intangible princip...
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Yidong Chen, Xiang Ji, Dongting Xu, Xi Zhou, Yujing Wang and Yixiao Hu
To enhance the continuity of character in the preservation of architectural heritage, this approach focuses on the horizontal self-similarity characteristics of architectural texture. A method using K-means and the Bhattacharyya approach for color select...
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Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning...
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