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Maryam Badar and Marco Fisichella
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et...
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Muhammad Sanaullah, Xiuquan Wang, Sajid Rashid Ahmad, Kamran Mirza, Muhammad Qasim Mahmood and Muhammad Kamran
The fate of agriculture in Pakistan is predominantly concerned with excessive water mining threats to the subsurface water resources. The current study integrates the Visual MODFLOW-2000 application to estimate the water balance of an aquifer bounded by ...
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Wilson Pérez, Punit Tulpule, Shawn Midlam-Mohler and Giorgio Rizzoni
Advanced energy management strategies (EMS) are used to control the power flow through a vehicle?s powertrain. However, the cost of high-power computational hardware and lack of a priori knowledge of future road conditions poses difficult challenges for ...
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Geonwoo Kim, Hoonsoo Lee, Seung Hwan Wi and Byoung-Kwan Cho
Heat stress in particular can damage physiological processes, adaptation, cellular homeostasis, and yield of higher plants. Early detection of heat stress in leafy crops is critical for preventing extensive loss of crop productivity for global food secur...
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Hyo-Jong Song and Jong-Yeon Park
Identifying bottom-up (e.g., physical and biogeochemical) drivers for fish catch is essential for sustainable fishing and successful adaptation to climate change through reliable prediction of future fisheries. Previous studies have suggested the potenti...
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Agnieszka Rolinska, Anna Aftyka and Marzena Samardakiewicz
Maternal obesity is one of the leading health problems in the world. Excessive gestational weight gain (GWG) can lead to many complications during pregnancy, especially when it is accompanied by diabetes. Moreover, the risk of excessive GWG in pregnant w...
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Sergey Kiyko
Pág. 56 - 70
Today, the problem of creating and implementing methodological foundations for managing portfolios of energy saving projects at metallurgical enterprises is urgent, taking into account strategic goals, limited resources and risks. The solution to this pr...
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Peeranut Chindanonda, Vladimir Podolskiy and Michael Gerndt
Internet of Things (IoT) covers scenarios of cyber?physical interaction of smart devices with humans and the environment and, such as applications in smart city, smart manufacturing, predictive maintenance, and smart home. Traditional scenarios are quite...
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Liquan Zhao and Yan Liu
The transfer learning method is used to extend our existing model to more difficult scenarios, thereby accelerating the training process and improving learning performance. The conditional adversarial domain adaptation method proposed in 2018 is a partic...
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Daniel Feldmeyer, Claude Meisch, Holger Sauter and Joern Birkmann
Socio-economic indicators are key to understanding societal challenges. They disassemble complex phenomena to gain insights and deepen understanding. Specific subsets of indicators have been developed to describe sustainability, human development, vulner...
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