Results 21 to 30 of about 142,726 (269)
Littlest inverse seesaw model [PDF]
Nuclear Physics B, 2020 We propose a minimal predictive inverse seesaw model based on two right-handed neutrinos and two additional singlets, leading to the same low energy neutrino mass matrix as in the Littlest Seesaw (LS) (type I) model. In order to implement such a Littlest Inverse Seesaw (LIS) model, we have used an $S_{4}$ family symmetry, together with other various ...
Cárcamo Hernández, A.E., King, S.F.
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Inter-annual variability of summertime CO2 exchange in Northern Eurasia inferred from GOSAT XCO2
Environmental Research Letters, 2016 Northern Eurasia is one of the largest terrestrial carbon reservoirs on the Earth’s surface. However, since the coverage of surface CO _2 observations is still limited, the response to the climate variability remains uncertain. We estimated monthly CO _2
M Ishizawa +8 more
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Mathematics, 2023 Hybrid approaches combining machine learning with traditional inverse problem solution methods represent a promising direction for the further development of inverse modeling algorithms.
Alexey Penenko +4 more
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Changes in HCFC Emissions in China During 2011–2017
Geophysical Research Letters, 2019 Hydrochlorofluorocarbons (HCFCs), the main substitutes of chlorofluorocarbons, are regulated by the Montreal Protocol. Chinese HCFC emissions increased fast from the beginning of this century.
X. Fang +7 more
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Journal of Advances in Modeling Earth Systems, 2023 Atmospheric inversions provide estimates of carbon dioxide (CO2) fluxes between the surface and atmosphere based on atmospheric CO2 concentration observations.
Hans W. Chen +5 more
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Frontiers in PsychiatryIntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz +8 more
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Accelerated Re-Design of Antenna Structures Using Sensitivity-Based Inverse Surrogates
IEEE Access, 2020 The paper proposes a novel framework for accelerated re-design (dimension scaling) of antenna structures using inverse surrogates. The major contribution of the work is a sensitivity-based model identification procedure, which permits a significant ...
Slawomir Koziel, Adrian Bekasiewicz
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Inverse Procedural Modelling of Trees [PDF]
Computer Graphics Forum, 2014 AbstractProcedural tree models have been popular in computer graphics for their ability to generate a variety of output trees from a set of input parameters and to simulate plant interaction with the environment for a realistic placement of trees in virtual scenes. However, defining such models and their parameters is a difficult task.
Ondrej Stava +6 more
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Variational Model Inversion Attacks
CoRR, 2022 Given the ubiquity of deep neural networks, it is important that these models do not reveal information about sensitive data that they have been trained on. In model inversion attacks, a malicious user attempts to recover the private dataset used to train a supervised neural network.
Kuan-Chieh Wang +5 more
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Estimating models of inverse systems
52nd IEEE Conference on Decision and Control, 2013 This paper considers the problem of how to estimate a model of the inverse of a system. The use of inverse systems can be found in many applications, such as feedforward control and power amplifier predistortion. The inverse model is here estimated with the purpose of using it in cascade with the system itself, as an inverter.
Jung, Ylva, Enqvist, Martin
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