Results 131 to 140 of about 54,005 (235)
Earth and Space Science, Volume 13, Issue 2, February 2026.Abstract The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument provides continuous, high‐resolution observations of atmospheric pollutants over North America from geostationary orbit. This study introduces an on‐orbit spectral calibration algorithm implemented in the TEMPO Version 3 Level 0–1 processor, covering both operational ...
Weizhen Hou +16 more
wiley +1 more source
SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS
Journal of Engineering and Sustainable Development, 2016 In this paper, an artificial Feed Forward Neural Network(FFNN) is used for smart antenna adaptive beamforming. Neural network is used to calculate the optimum weights that adapt the radiation pattern of the antenna by directing multiple narrow beams ...
Adheed Hassan Sallomi +1 more
doaj
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm. [PDF]
Sensors (Basel), 2017 Tra V, Kim J, Khan SA, Kim JM.
europepmc +1 more source
Journal of Geophysical Research: Planets, Volume 131, Issue 2, February 2026.Abstract Throughout Gale crater on Mars, the Curiosity rover has found high abundances (15–73 wt%) of X‐ray amorphous materials in the rocks and sediments. The composition of this amorphous fraction is primarily calculated by subtracting crystalline abundances measured by the Chemistry & Mineralogy X‐Ray Diffractometer (CheMin) from bulk elemental ...
R. J. Hopkins, A. D. Rogers, L. Ehm
wiley +1 more source
Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model
JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.ABSTRACT History matching of large hydrologic models is challenging due to data sparsity and non‐unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble‐based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts ...
Michael N. Fienen +4 more
wiley +1 more source
Neuron count impact on NNTS-based energy management in hybrid-powered renewable microgrids
Journal of Engineering and Applied ScienceEfficient energy-storage management is critical for enhancing the reliability and sustainability of hybrid microgrid systems. This study examines the influence of neuron number in a Neural Network Time Series (NNTS) model on prediction quality and ...
Ismail Elabbassi +2 more
doaj +1 more source
Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.Abstract Observations of ground deformation provide insights on the triggering mechanisms of eruptions. At Aniakchak Crater (Aleutians) InSAR measured ∼ ${\sim} $72 cm of uplift in less than 7 months between 2022 and 2023. The uplift can be explained by the inflation of a point pressure source at a depth of 3.2 km.
Francisco Delgado
wiley +1 more source
Backpropagation Learning Algorithm Based on Levenberg Marquardt Algorithm
Computer Science & Information Technology ( CS & IT ), 2012 openaire +1 more source
Radar Target Detection by Using Levenberg-Marquardt Algorithm
PRZEGLĄD ELEKTROTECHNICZNY, 2023 openaire +1 more source
Prediction of crack repair percentage in self-healing concrete using machine learning. [PDF]
Sci RepKhosravi H +3 more
europepmc +1 more source