|
831 |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 1: Event detection for cryoseismology Enthalten in The Cryosphere Bd. 18, 2024, Nr. 4: 2061-2079. 19 S.
|
|
|
832 |
Recent warming trends of the Greenland ice sheet documented by historical firn and ice temperature observations and machine learning Enthalten in The Cryosphere Bd. 18, 2024, Nr. 2: 609-631. 23 S.
|
|
|
833 |
An Intelligent Approach for Predicting Stock Market Movements in Emerging Markets Using Optimized Technical Indicators and Neural Networks Enthalten in Economics / Journal articles Bd. 18, 2024, Nr. 1. 14 S.
|
|
|
834 |
Asset Pricing and Portfolio Investment Management Using Machine Learning: Research Trend Analysis Using Scientometrics Enthalten in Economics / Journal articles Bd. 18, 2024, Nr. 1. 20 S.
|
|
|
835 |
Improving the Gaussianity of radar reflectivity departures between observations and simulations using symmetric rain rates Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 15: 4675-4686. 12 S.
|
|
|
836 |
TorchClim v1.0: a deep-learning plugin for climate model physics Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 14: 5459-5475. 17 S.
|
|
|
837 |
Transferability of machine-learning-based global calibration models for NO<sub>2</sub> and NO low-cost sensors Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 13: 3917-3931. 15 S.
|
|
|
838 |
Multivariate adjustment of drizzle bias using machine learning in European climate projections Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 11: 4689-4703. 15 S.
|
|
|
839 |
Atmospheric motion vector (AMV) error characterization and bias correction by leveraging independent lidar data: a simulation using an observing system simulation experiment (OSSE) and optical flow AMVs Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 10: 3103-3119. 17 S.
|
|
|
840 |
Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5) Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 9: 4017-4029. 13 S.
|
|