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Jian Hao and Jingwei Shen
Dysentery is still a serious global public health problem. In Chongqing, China, there were 37,140 reported cases of dysentery from 2015 to 2021. However, previous research has relied on statistical data of dysentery incidence rate data based on administr...
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Gustav Kågesten, Dario Fiorentino, Finn Baumgartner and Lovisa Zillén
Predefined classification schemes and fixed geographic scales are often used to simplify and cost-effectively map the spatial complexity of nature. These simplifications can however limit the usefulness of the mapping effort for users who need informatio...
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Diana Sousa-Guedes, Marc Franch and Neftalí Sillero
Road networks are the main source of mortality for many species. Amphibians, which are in global decline, are the most road-killed fauna group, due to their activity patterns and preferred habitats. Many different methodologies have been applied in model...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Pág. 029 - 043
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Annan Yang, Chunmei Wang, Guowei Pang, Yongqing Long, Lei Wang, Richard M. Cruse and Qinke Yang
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)?s efficiency and interpretability remains a challenge, especially in complex terrain areas. In this study, a WoE-M...
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Nirmalya Thakur and Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes th...
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Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, Biswajeet Pradhan and Seyed Jalil Alavi
It is a well-known fact that sustainable development goals are difficult to achieve without a proper water resources management strategy. This study tries to implement some state-of-the-art statistical and data mining models i.e., weights-of-evidence (Wo...
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Syed As-Sadeq Tahfim and Yan Chen
Severe and fatal crashes involving large trucks result in significant social and economic losses for human society. Unfortunately, the notably low proportion of severe and fatal injury crashes involving large trucks creates an imbalance in crash data. Mo...
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Suvi-Tuuli Lappalainen, Jonne Kotta, Mari-Liis Tombak and Ulla Tapaninen
Marine eutrophication is a pervasive and growing threat to global sustainability. Thereby, nutrient discharges to the marine environment should be reduced to a minimum. When fertilizers are loaded to the vessels in ports, a significant amount of nutrient...
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Dorin Moldovan
The bio-inspired research field has evolved greatly in the last few years due to the large number of novel proposed algorithms and their applications. The sources of inspiration for these novel bio-inspired algorithms are various, ranging from the behavi...
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Mila Svilar, Igor Pe?ko and Milo? ?e?lija
The management of roads, as well as their maintenance, calls for an adequate assessment of the load-bearing capacity of the pavement structure. This serves as the basis on which future maintenance requirements are planned and plays a significant role in ...
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Jennifer Cartwright
Droughts and insect outbreaks are primary disturbance processes linking climate change to tree mortality in western North America. Refugia from these disturbances—locations where impacts are less severe relative to the surrounding landscape—m...
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