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Ioannis Saradopoulos, Ilyas Potamitis, Antonios I. Konstantaras, Panagiotis Eliopoulos, Stavros Ntalampiras and Iraklis Rigakis
This study describes the development of an image-based insect trap diverging from the plug-in camera insect trap paradigm in that (a) it does not require manual annotation of images to learn how to count targeted pests, and (b) it self-disposes the captu...
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Tatyana Papina, Alla Eirikh, Anton Kotovshchikov and Tatiana Noskova
For many of the Siberian rivers, and the Upper Ob in particular, 70?80% of the volume of the annual water runoff is formed during the spring flood. Thus, factors influencing the formation of water runoff during the spring flood are paramount. We explain ...
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Yunchuan Liu, Amir Ghasemkhani and Lei Yang
This paper investigates the short-term wind farm generation forecast. It is observed from the real wind farm generation measurements that wind farm generation exhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of ramp...
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Markus Frohmann, Manuel Karner, Said Khudoyan, Robert Wagner and Markus Schedl
Recently, various methods to predict the future price of financial assets have emerged. One promising approach is to combine the historic price with sentiment scores derived via sentiment analysis techniques. In this article, we focus on predicting the f...
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Ningning Liu, Danfeng Xie, Changlong Wang and Yun Bai
Scholars have paid considerable attention to the factors that affect the safety states of construction workers. However, only a few studies have focused on the safety assessment and security alerts of individual workers. In this study, the term ?frequenc...
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Lu Tao, Yousuke Watanabe and Hiroaki Takada
Long-term vehicular motion prediction is a crucial function for both autonomous driving and advanced driver-assistant systems. However, due to the uncertainties of vehicle dynamics and complexities of surroundings, long-term motion prediction is never tr...
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Yufu Zhang, Xinyi Jiao, Yinghuai Wei, Hao Wu, Zheqi Pan, Mei Liu, Julin Yuan, Meng Ni, Zhiming Zhou, Lingzao Zeng and Dingjiang Chen
Quantitative information on regional cropland runoff is important for sustainable agricultural water quantity and quality management. This study combined the Soil Conservation Service Curve Number (SCS-CN) method and geostatistical approaches to quantify...
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Sha Sun, Haiyue Xu, Minsong He, Yao Xiao and Huayong Niu
Analyzing, evaluating, and predicting the trend of globalization are highly valuable endeavors. However, existing literature lacks a quantifiable metric for objective evaluation. To fill the gap, we first compiled a Globalization Index based on existing ...
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Aristoteles Tegos, Nikolaos Malamos and Demetris Koutsoyiannis
Regional estimations of Potential Evapotranspiration (PET) are of key interest for a number of geosciences, particularly those that are water-related (hydrology, agrometeorology). Therefore, several models have been developed for the consistent quantific...
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Ibrahim Atli, Metin Ozturk, Gianluca C. Valastro and Muhammad Zeeshan Asghar
A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energ...
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