Results 131 to 140 of about 1,110 (203)

A Diffusion-Based Time-Frequency Dual-Stream Contrastive Learning Model for Multivariate Time Series Anomaly Detection. [PDF]

Entropy (Basel)
Wu K, Xu C, Zhang R, Lu W, Ma Y, Zhang E, Tan K.   +6 more
europepmc   +1 more source

Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning

Electronic Imaging, 2018
Konstantina Fotiadou, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides   +3 more
openaire   +1 more source

Causal pathways underlying global soil moisture-precipitation coupling. [PDF]

Nat Commun
Sun J, Yang K, He X, Wang G, Wang Y, Yu Y, Lu H.   +6 more
europepmc   +1 more source

Nitrogen isotopes reveal high NO_x emissions from arid agricultural soils in the Salton Sea Air Basin. [PDF]

Sci Rep
Lieb HC, Maldonado M, Ruiz E, Torres C, Olmedo L, Walters WW, Faloona IC.   +6 more
europepmc   +1 more source

Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 4 of the L4_SM Data Product

, 2018
Rolf H. Reichle, Qing Liu, Randal D. Koster, J. Ardizzone, Andreas Colliander, Wade T. Crow, Gabriëlle De Lannoy, John S. Kimball   +7 more
openalex   +1 more source

An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series. [PDF]

Entropy (Basel)
Zhang W, Li T, He P, Yang Y, Wang S.
europepmc   +1 more source

Improving Multivariate Time-Series Anomaly Detection in Industrial Sensor Networks Using Entropy-Based Feature Aggregation. [PDF]

Entropy (Basel)
Wang B.
europepmc   +1 more source

100-m-resolution surface soil moisture data during the thawing season on the Qinghai‒Tibet Plateau. [PDF]

Sci Data
Li Z, Zhao L, Wang L, Liu G, Du E, Zou D, Hu G, Xing Z, Wang C, Liu S, Xiao M, Yin L, Wang Y.   +12 more
europepmc   +1 more source

I2. Early Results of the Soil Moisture Active Passive Marena Oklahoma In Situ Sensor Testbed (SMAP-MOISST)

, 2012
Michael H. Cosh, Tyson E. Ochsner
openalex   +1 more source

Seasonal flooded rice area extent dataset during dry seasons 2016 to 2019 at the Telangana state scale, South-India. [PDF]

Data Brief
Ferrant S, Selles A, Vincent A, Thierion V, Hagolle O, Shakeel A, Tiwari VM.   +6 more
europepmc   +1 more source