Suchergebnisse - moment problems and interpolation problems in the complex pane*

Uncertainty Quantification of Microstructures: A Perspective on Forward and Inverse Problems for Mechanical Properties of Aerospace Materials.

Autoren: Billah, Md Maruf Elleithy, Mohamed Khan, Waris et al.

Quelle: Advanced Engineering Materials; Jan2025, Vol. 27 Issue 2, p1-31, 31p

Schlagwörter: MECHANICAL behavior of materials, INVERSE problems, AEROSPACE materials, MICROSTRUCTURE, TOPOLOGY

Estimation of radar-based area–depth–duration–frequency curves with special focus on spatial sampling problems.

Autoren: Goshtasbpour, Golbarg Haberlandt, Uwe

Quelle: Hydrology & Earth System Sciences; 2025, Vol. 29 Issue 16, p3917-3933, 17p

Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region.

Autoren: Huynh, Ngo Nghi Truyen Garambois, Pierre‐André Colleoni, François et al.

Quelle: Water Resources Research; Nov2024, Vol. 60 Issue 11, p1-28, 28p

Schlagwörter: ARTIFICIAL neural networks, COST functions, FLOOD forecasting, HYDROLOGIC models, INVERSE problems

Boosting Barlow Twins Reduced Order Modeling for Machine Learning‐Based Surrogate Models in Multiphase Flow Problems.

Autoren: Kadeethum, T. Silva, V. L. S. Salinas, P. et al.

Quelle: Water Resources Research; Oct2024, Vol. 60 Issue 10, p1-27, 27p

Schlagwörter: MACHINE learning, MULTIPHASE flow, BOOSTING algorithms, INJECTION wells, FLUID pressure

Modeling Non‐Stationary Wind‐Induced Fluid Motions With Physics‐Informed Neural Networks for the Shallow Water Equations in a Polar Coordinate System.

Autoren: Zhou, Zaiyang Kuai, Yu Ge, Jianzhong et al.

Quelle: Water Resources Research; Jan2025, Vol. 61 Issue 1, p1-17, 17p

Schlagwörter: MACHINE learning, SHALLOW-water equations, SCIENTIFIC literature, FLUID dynamics, COMPLEX fluids, OCEAN waves

Some Remarks About Forward and Inverse Modelling in Hydrology, Within a General Conceptual Framework.

Autoren: Giudici, Mauro

Quelle: Hydrology (2306-5338); Nov2024, Vol. 11 Issue 11, p189, 19p

Schlagwörter: MATHEMATICAL models, INVERSE problems, HYDROLOGIC models, HYDROLOGY, GROUNDWATER

The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology.

Autoren: Volpi, Elena Grimaldi, Salvatore Aghakouchak, Amir et al.

Quelle: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Nov2024, Vol. 69 Issue 14, p1913-1949, 37p

Schlagwörter: COPULA functions, INFRASTRUCTURE (Economics), MULTIVARIATE analysis, INTEGRATED software, HYDROLOGY

Characterizing Aquifer Properties Through a Sparse‐Grids‐Based Bayesian Framework and InSAR Measurements: A Basin‐Scale Application to Alto Guadalentín, Spain.

Autoren: Li, Yueting Zoccarato, Claudia Piazzola, Chiara et al.

Quelle: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-37, 37p

Schlagwörter: AQUIFERS, LAND subsidence, BAYESIAN analysis, SOIL compaction, INTERFEROMETRY, GROUNDWATER management, HYDRAULIC conductivity

Geografische Kategorien: SPAIN

Exploring Urban Water Management Solutions for Mitigating Water Cycle Issues: Application to Bogotá, Colombia.

Autoren: Park, Yoonkyung Sim, Inkyeong Won, Changyeon et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1992, 18p

Schlagwörter: FLOOD control, GREEN infrastructure, CLIMATE change, EMERGENCY management, CITIES & towns, HYDROLOGIC cycle, MUNICIPAL water supply, HYDROLOGICAL research

Geografische Kategorien: COLOMBIA, BOGOTA (Colombia)

An Efficient Filter Implementation Method and Its Applications in Topology Optimization Utilizing k -d Tree Data Structure.

Autoren: Huang, Jingbo Saeed, Ayesha Long, Kai et al.

Quelle: Computation; Nov2025, Vol. 13 Issue 11, p262, 18p

Schlagwörter: DATA structures, STRUCTURAL optimization, MECHANICAL efficiency, SPATIAL analysis (Statistics), INFORMATION filtering, ENGINEERING firms

Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach.

Autoren: Sun, Meng Luo, Qiankun Yang, Yun et al.

Quelle: Water Resources Research; Jun2025, Vol. 61 Issue 6, p1-32, 32p

Schlagwörter: DATA assimilation, GROUNDWATER flow, AQUIFERS, SIMULATION methods & models, ENCODING

Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms.

Autoren: Nie, Lei Wu, Manya Wu, Zhifang et al.

Quelle: Water (20734441); Apr2025, Vol. 17 Issue 7, p1040, 23p

Schlagwörter: WATERSHEDS, PANEL analysis, DATA modeling, RESEARCH & development, PROVINCES

Syllable as a Synchronization Mechanism That Makes Human Speech Possible.

Autoren: Xu, Yi

Quelle: Brain Sciences (2076-3425); Jan2025, Vol. 15 Issue 1, p33, 36p

Schlagwörter: SPEECH disorders, SPEECH, MOTOR ability, DEGREES of freedom, MOTOR learning

Swim, baby, swim: the active dispersal scenario of juvenile North Pacific loggerhead turtles revealed by historical satellite tracking data and novel operational oceanography products.

Autoren: Gaspar, Philippe Temple-Boyer, Julien Briscoe, Dana K. et al.

Quelle: Movement Ecology. 6/10/2025, Vol. 13 Issue 1, p1-27. 27p.

Adaptive Neural Network System for Detecting Unauthorised Intrusions Based on Real-Time Traffic Analysis.

Autoren: Vladov, Serhii Vysotska, Victoria Lytvyn, Vasyl et al.

Quelle: Computation; Sep2025, Vol. 13 Issue 9, p221, 42p

Schlagwörter: INTRUSION detection systems (Computer security), ANOMALY detection (Computer security), KALMAN filtering, LATENT variables, INTERNET security, TRAFFIC monitoring, MACHINE learning, INTELLIGENT networks

VM-RTDETR: Advancing DETR with Vision State-Space Duality and Multi-Scale Fusion for Robust Pig Detection.

Autoren: Hao, Wangli Xu, Shu-Ai Shu, Hao et al.

Quelle: Animals (2076-2615); Nov2025, Vol. 15 Issue 22, p3328, 23p

Schlagwörter: OBJECT recognition (Computer vision), COMPUTER vision, ANIMAL health, SWINE breeds, AGRICULTURAL technology

Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance.

Autoren: Rouhani, Bahman Tsotsos, John K.

Quelle: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p333, 39p

Estimation of radar-based Area-Depth-Duration-Frequency curves with special focus on spatial sampling problems.

Autoren: Goshtasbpour, Golbarg Haberlandt, Uwe

Quelle: Hydrology & Earth System Sciences Discussions; 6/27/2024, p1-27, 27p

Schlagwörter: CURVES, NUMBER theory, SAMPLING methods

Geografische Kategorien: GERMANY

Taylor Polynomials in a High Arithmetic Precision as Universal Approximators.

Autoren: Bakas, Nikolaos

Quelle: Computation; Mar2024, Vol. 12 Issue 3, p53, 15p

Schlagwörter: TAYLOR'S series, ARITHMETIC, NUMERICAL differentiation, PARTIAL sums (Series), PARTIAL differential equations, INTERPOLATION algorithms, EXTRAPOLATION

Large‐Scale Drought Forecasting in the U.S. Southern Plains Through a Hybrid Cluster‐Based Wavelet‐Machine Learning Approach.

Autoren: Lee, SangHyun Danandeh Mehr, Ali Moriasi, Daniel et al.

Quelle: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-23, 23p

Schlagwörter: DROUGHT forecasting, MACHINE learning, WAVELET transforms, CLIMATE change adaptation, HYDROLOGIC models, PLAINS, SPATIAL variation, EVAPOTRANSPIRATION