Detection and Classification of Sporadic E Using Convolutional Neural Networks
Space Weather, Volume 22, Issue 1, January 2024.Abstract In this work, convolutional neural networks (CNN) are developed to detect and characterize sporadic E (Es), demonstrating an improvement over current methods. This includes a binary classification model to determine if Es is present, followed by a regression model to estimate the Es ordinary mode critical frequency (foEs), a proxy for the ...
J. A. Ellis, D. J. Emmons, M. B. Cohen
wiley +1 more source
Ensemble prediction for nowcasting with a convection-permitting model—I: description of the system and the impact of radar-derived surface precipitation rates [PDF]
, 2010 A key strategy to improve the skill of quantitative predictions of precipitation, as well as hazardous weather such as severe thunderstorms and flash floods is to exploit the use of observations of convective activity (e.g. from radar).
Bloom S. +31 more
core +1 more source
Interferometric locating system [PDF]
, 1980 A system is described for determining the position of a vehicle or other target that emits radio waves and which is of the type that senses the difference in time of arrival at spaced ground stations of signals from the vehicle to locate the vehicle on a
Macdoran, P. F.
core +1 more source
The Role of Trust and Interaction in GPS Related Accidents: A Human Factors Safety Assessment of the Global Positioning System (GPS) [PDF]
, 2008 The Global Positioning System (GPS) uses a network of orbiting and geostationary satellites to calculate the position of a receiver over time. This technology has revolutionised a wide range of safety-critical industries and leisure applications ranging ...
Holloway, C.M., Johnson, C.W., Shea, C.
core
Meteorological radar calibration [PDF]
A meteorological radar calibration technique is developed. It is found that the integrated, range corrected, received power saturates under intense rain conditions in a manner analogous to that encountered for the radiometric path temperature ...
Hodge, D. B.
core +1 more source
Estimating Lunar Pyroclastic Deposit Depth from Imaging Radar Data: Applications to Lunar Resource Assessment [PDF]
Lunar pyroclastic deposits represent one of the primary anticipated sources of raw materials for future human settlements. These deposits are fine-grained volcanic debris layers produced by explosive volcanism contemporaneous with the early stage of mare
Campbell, B. A. +5 more
core +1 more source
Electronics Production Upgrading: Is China Exceptional? [PDF]
In this paper, we make use of a unique world electronics production data set to assess China’s upgrading trajectory in the global electronics industry. Contrary to existing studies, we find no evidence that China’s electronics production activities are ...
Ari Van Assche, Byron Gangnes
core
, 2020 Emerging single-photon-sensitive sensors combined with advanced inverse methods to process picosecond-accurate time-stamped photon counts have given rise to unprecedented imaging capabilities.
Faccio, D., Velten, A., Wetzstein, G.
core +1 more source
A Ground-based Search for Lunar Resources Using High-resolution Imaging in the Infrared [PDF]
When humans return to the Moon, lunar resources will play an important role in the successful deployment and maintenance of the lunar base. Previous studies have illustrated the abundance of resource materials available on the surface of the Moon, as ...
Coombs, C. R., Mckechnie, T. S.
core +1 more source
Research on nonlinear optical materials: an assessment. IV. Photorefractive and liquid crystal materials [PDF]
, 1987 This panel considered two separate subject areas: photorefractive materials used for nonlinear optics and liquid crystal materials used in light valves.
Brody, P. S. +8 more
core