„Computer Modelling.“

Suchergebnisse

7.065 Treffer

• Spatial and temporal dependence framework in multi-site precipitation modelling
  Chida, Tapiwa Edward ; Ramesh, Nadarajah ; Onof, Christian ; Yip, Iris
• Spatiotemporal analyses of extreme rainfall frequencies in Denmark via Bayesian hierarchical modelling using SPDE with INLA
  Antoniadou, Nafsika ; Stockmarr, Anders ; Pedersen, Jonas W. ; Schmith, Torben ; Mikkelsen, Peter Steen
• Copula-based joint distribution modelling of precipitation, temperature and humidity events in the assessments of agricultural risks, with a case study in Morocco
  Latif, Shahid ; El Ouadi, Ihssan ; Ouarda, Taha B. M. J.
• Refining linear trend estimates from one dimensional time series data with autoregressive covariance modelling: an application to GRACE total water storage time series data
  Jendges, Lukas ; Brockmann, Jan Martin
• Modelling time series with multiple seasonalities: an application to hourly NO $${_2}$$ pollution levels
  Avila, M. L. ; Alonso, A. M. ; Peña, D.
• Bayesian modelling for the integration of spatially misaligned health and environmental data
  Alahmadi, Hanan ; Moraga, Paula
• Initialisation and network effects in decentralised federated learning
  Badie-Modiri, Arash ; Boldrini, Chiara ; Valerio, Lorenzo ; Kertész, János ; Karsai, Márton
• Power performance analysis and survey-based analytical formulation modelling using real-time wind farm monitoring data
  Mehmood, Zahid ; Wang, Zhenyu ; Shen, Guiying ; Hussain, Muhammad Waqar
• Geostatistical modelling of ground conditions to support the assessment of site contamination
  Morakinyo, J.A ; Mackay, R.
• Spatial-temporal rainfall modelling for flood risk estimation
  Wheater, H. S. ; Chandler, R. E. ; Onof, C. J. ; Isham, V. S. ; Bellone, E. ; Yang, C. ; Lekkas, D. ; Lourmas, G. ; Segond, M.-L
• Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India
  A K, Nandan ; Mathew, Aneesh
• Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in Slovenia
  Sezen, Cenk ; Šraj, Mojca
• Nonparametric versus parametric (both unimodal and mixed) probability distribution in hourly wind speed modelling for some regions of Tamil Nadu state in India
  Natarajan, Narayanan ; Latif, Shahid
• Estimation of model parameters and simulation of earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency
  Dang, Pengfei ; Cui, Jie ; Liu, Qifang
• A deep neural multi-model ensemble (DNM2E) framework for modelling groundwater levels over Kerala using dynamic variables
  Keerthana, A. ; Nair, Archana
• Beyond stationary simulation; modern approaches to stochastic modelling
  Shamsipour, Pejman ; Kourkounakis, Tedd ; Meshkinnejad, Rouzbeh ; Hood, Shawn
• Optimization modelling of spark plasma sintering parameters of SS316-B4C composite
  Baranidharan, K. ; Thirumalai Kumaran, S. ; Uthayakumar, M. ; Parameswaran, P.
• Modelling bivariate failure time data via bivariate extended Chen distribution
  Kilany, N. M. ; El-Qareb, F. G.
• Numerical modelling and experimental study of MQL spray parameters in machining of Ti-6Al-4V
  Jadhav, Prasad ; R, Deivanathan
• Uncertainty quantification for disaster modelling: flooding as a case study
  Raillani, Hajar ; Hammadi, Lamia ; El Ballouti, Abdessamad ; Barbu, Vlad Stefan ; Souza De Cursi, Eduardo