Results 31 to 40 of about 462,162 (384)
Estimation of Astronomical Seeing with Neural Networks at the Maidanak Observatory
Atmosphere, 2023 In the present article, we study the possibilities of machine learning for the estimation of seeing at the Maidanak Astronomical Observatory (38∘40′24″ N, 66∘53′47″ E) using only Era-5 reanalysis data.
Artem Y. Shikhovtsev +6 more
doaj +1 more source
Statistics of turbulence profile at Cerro Tololo [PDF]
Mon.Not.Roy.Astron.Soc. 340 (2003) 52, 2002 Results of 3-month continuous monitoring of turbulence profile and seeing at Cerro Tololo (Chile) in May-July 2002 are presented. Some 28000 low-resolution profiles were measured by a new MASS single-star turbulence monitor, accompanied by seeing data from DIMM. The median seeing was 0.95 arcseconds.
arxiv +1 more source
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Computer Vision and Pattern Recognition, 2019 The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements, plays a critical role in object detection for autonomous vehicles, which base their decision making on these inputs.
Mario Bijelic +6 more
semanticscholar +1 more source
Risk Automatic Prediction for Social Economy Companies using Camels [PDF]
arXiv, 2022 Governments have to supervise and inspect social economy enterprises (SEEs). However, inspecting all SEEs is not possible due to the large number of SEEs and the low number of inspectors in general. We proposed a prediction model based on a machine learning approach.
arxiv
Vlasov Simulation of Emissive Plasma Sheath with Energy-Dependent Secondary Emission Coefficient and Improved Modeling for Dielectric Charging Effects [PDF]
, 2022 A one dimensional Vlasov Poisson simulation code is employed to investigate the plasma sheath considering electron induced secondary electron emission (SEE) and backscattering. The SEE coefficient is commonly treated as constant in a range of plasma simulations, here improved SEE model of a charged dielectric wall is constructed which includes the wall
arxiv +1 more source
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
Journal of experimental psychology. General, 2014 Research shows that evidence-based algorithms more accurately predict the future than do human forecasters. Yet when forecasters are deciding whether to use a human forecaster or a statistical algorithm, they often choose the human forecaster.
Berkeley J. Dietvorst +2 more
semanticscholar +1 more source
Seeing the Light: Advancing Materials Chemistry through Photopolymerization.
Angewandte Chemie, 2019 The application of photochemistry to polymer and material science has led to the development of complex yet efficient systems for polymerization, polymer post-functionalization, and advanced materials production. Using light to activate chemical reaction
Nathaniel Corrigan +4 more
semanticscholar +1 more source
Seeing the forest for the trees: Visualizing platformization and its governance
New Media & Society, 2020 The complexities of platforms are increasingly at odds with the narrow legal and economic concepts in which their governance is grounded. This article aims to analyze platformization through the metaphorical lens of a tree to make sense of information ...
José van Dijck
semanticscholar +1 more source
Acta Ophthalmologica Scandinavica, 2007 Abstract Purpose: “Sighted C3H” mice with a normal Pde6b gene, were compared to wild‐type C3H/HeH mice with the strain‐specific Pde6b(rd1) mutation causing retinal degeneration, BALB/c and C57BL/6 mice. Methods: All mice were screened for morphological and visual alterations by funduscopy, slit lamp biomicroscopy, laser interference biometry, ERG and ...
J Graw, Claudia Dalke, O Puk, J Favor
openaire +2 more sources
Anthropophanies. Est-il possible de voir un être humain ? Lectures bibliques
Pallas, 2013 In the Bible, seeing God is claimed to be impossible for humans; yet some testify that they did see him and God himself condescends to let himself be seen. Conversely, is it sure that humans can be seen?
Philippe Lefebvre
doaj +1 more source