Results 221 to 230 of about 35,760 (258)
Cardinality-based sparse singular value decomposition for similarity matrices. [PDF]
Boccardo J, Tanberg W, Miecznikowski JC.
europepmc +1 more source
Low‐order system for eddy growth in the storm track
Reanalysis data for the North Atlantic storm track are used to construct a low‐order model that optimally fits the observed interaction between the mean flow and baroclinic eddies. The resulting model is a certain type of predator–prey model. It explains various properties of the storm track, including why eddies grow linearly with the Eady growth rate,
Maarten H. P. Ambaum, Thomas H. A. Frame
wiley +1 more source
Reliability measures in knowledge structure theory. [PDF]
de Chiusole D +3 more
europepmc +1 more source
Precipitation growth and decay due to orography was analyzed using the radar network in Great Britain. Storm direction and speed modulate the intensity of precipitation growth or decay. Windward slopes predominantly exhibit precipitation growth, while leeward areas show precipitation decay.
Chen Li, Miguel Angel Rico‐Ramirez
wiley +1 more source
Methods for Analyzing RNA Pseudoknots via Chord Diagrams and Intersection Graphs. [PDF]
Ibrahim R, Moore AH.
europepmc +1 more source
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
Telemetry-Robust Safe Zero-Shot Graph Multi-Agent Reinforcement Learning for Active Voltage Control Across Distribution Feeders. [PDF]
Jin B, Sun S, Zhang Y, Zheng S, Yu H.
europepmc +1 more source
VAE‐Based SPC for Botnet Detection in IoT Systems
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño +3 more
wiley +1 more source
RCS-Doppler-Assisted MM-GM-PHD Filter for Passive Radar in Non-Uniform Clutter. [PDF]
Wang J, Xu B, Zhang Z, Jin B.
europepmc +1 more source

