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Tamar Shabi, Yaron Ziv, Reuven Yosef and Nadav Shashar
Global degradation of coral reefs is reflected in the destruction of shelters in various environments and threatens the stability of marine ecosystems. Artificial shelters offer an alternative, but their design could be more challenging due to limited kn...
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Shi-Yi Jin, Dong-Hyun Seo, Yeon-Jin Kim, Yong-Eun Kim, Samuel Woo and Jin-Gyun Chung
To authenticate a controller area network (CAN) data frame, a message authentication code (MAC) must be sent along with the CAN frame, but there is no space reserved for the MAC in the CAN frame. Recently, difference-based compression (DBC) algorithms ha...
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Meryem Ayach, Hajar Lazar, Christel Lamat, Abderrahim Bousouis, Meryem Touzani, Youssouf El Jarjini, Ilias Kacimi, Vincent Valles, Laurent Barbiero and Moad Morarech
The number and diversity of groundwater bodies (GWBs) in large French administrative regions pose challenges to their monitoring and protection by regional health agencies. To overcome this obstacle, we propose, for the Auvergne-Rhône-Alpes region (about...
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Ufuk Caglar, John Mark Lawton, Juan Carlos Melgar and Ksenija Gasic
Climate change is affecting the production of temperate fruit crops. Freeze damage, particularly in spring, has resulted in significant economic losses in peach production in the southeastern United States. Research efforts in peach and other Prunus spec...
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Grzegorz Klys, Zbigniew Ziembik and Joanna Makuchowska-Fryc
This study focuses on the hibernation behavior of the western barbastelle bat (Barbastella barbastellus) in underground systems in Poland from 2006 to 2011, specifically during the peak hibernation months of December to February. The impact of climate pa...
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Nisa Boukichou-Abdelkader, Miguel Ángel Montero-Alonso and Alberto Muñoz-García
Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality resul...
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Ya-Hui Chang, Chih-Wei Tseng and Hsien-Chieh Hsu
Urban stormwater drainage systems, which include many personholes to collect and discharge precipitation within a city, are extensively constructed to prevent streets and buildings from flooding. This research intends to build a machine learning model to...
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Van Quy Khuc and Duc Trung Tran
This paper introduces an advanced method that integrates contingent valuation and machine learning (CVML) to estimate residents? demand for reducing or mitigating environmental pollution and climate change. To be precise, CVML is an innovative hybrid mac...
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Nina Golyandina, Pavel Dudnik and Alex Shlemov
Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extractio...
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Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn and Hamid Alinejad-Rokny
Instructors face significant time and effort constraints when grading students? assessments on a large scale. Clustering similar assessments is a unique and effective technique that has the potential to significantly reduce the workload of instructors in...
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