Results 11 to 20 of about 24,485,484 (328)
Automated Construction of Quantum-Classical Hybrid Models. [PDF]
Journal of Chemical Theory and Computation, 2021 We present a protocol for the fully automated construction of quantum mechanical (QM)-classical hybrid models by extending our previously reported approach on self-parametrizing system-focused atomistic models (SFAMs) [Brunken, C.; Reiher, M. J.
C. Brunken, M. Reiher
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A review: state estimation based on hybrid models of Kalman filter and neural network
Systems Science & Control Engineering, 2023 In this paper, hybrid models of Kalman filter and neural network for state estimation are reviewed of their corresponding academic achievements, the creation of which is a noteworthy development in state estimation.
Shuo Feng +5 more
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Applied Sciences, 2023 Various deep learning techniques have recently been developed in many fields due to the rapid advancement of technology and computing power. These techniques have been widely applied in finance for stock market prediction, portfolio optimization, risk ...
H. Song, Hyunjun Choi
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Hybrid models as transdisciplinary research enablers. [PDF]
Eur J Oper Res, 2021 Modelling and simulation (M&S) techniques are frequently used in Operations Research (OR) to aid decision-making. With growing complexity of systems to be modelled, an increasing number of studies now apply multiple M&S techniques or hybrid simulation (
Tolk A, Harper A, Mustafee N.
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Hybrid Models for Sentence Readability Assessment
Workshop on Innovative Use of NLP for Building Educational Applications, 2023 Automatic readability assessment (ARA) predicts how difficult it is for the reader to understand a text. While ARA has traditionally been performed at the passage level, there has been increasing interest in ARA at the sentence level, given its ...
Feng Liu, John Lee
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Novel hybrid models to enhance the efficiency of groundwater potentiality model
Applied Water Science, 2022 The present study aimed to create novel hybrid models to produce groundwater potentiality models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning (EML) algorithms, such as random forest (RF), random subspace, dagging, bagging,
Swapan Talukdar +8 more
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Remote Sensing, 2021 Flash floods are considered to be one of the most destructive natural hazards, and they are difficult to accurately model and predict. In this study, three hybrid models were proposed, evaluated, and used for flood susceptibility prediction in the Dadu ...
Jun Liu +6 more
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Specifying Hybrid Models of Teachers’ Work During COVID-19
Educational Research, 2022 The term “hybrid” emerged as a common descriptor of pandemic-modified schooling configurations. Yet this umbrella term insufficiently captures the variations among hybrid models, particularly as it pertains to the structure of teacher workdays and ...
Lora Bartlett
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Applied Sciences, 2020 Gully erosion destroys agricultural and domestic grazing land in many countries, especially those with arid and semi-arid climates and easily eroded rocks and soils.
Viet-Ha Nhu +13 more
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Traffic flow prediction models – A review of deep learning techniques
Cogent Engineering, 2022 Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future.
Anirudh Ameya Kashyap +5 more
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