| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: a study in Godavari middle sub-basin, India
|
Masroor, Md
|
|
|
37 |
1 |
p. 233-259
|
artikel
|
| 2 |
A hybrid heuristic-driven technique to study the dynamics of savanna ecosystem
|
Khan, Muhammad Fawad
|
|
|
37 |
1 |
p. 1-25
|
artikel
|
| 3 |
A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China
|
Liu, Song
|
|
|
37 |
1 |
p. 153-173
|
artikel
|
| 4 |
Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity
|
Rashidi, Rajab
|
|
|
37 |
1 |
p. 175-184
|
artikel
|
| 5 |
A multi-type branching process model for epidemics with application to COVID-19
|
Laha, Arnab Kumar
|
|
|
37 |
1 |
p. 305-325
|
artikel
|
| 6 |
An assessment of ecological and possible human health risks from Cr and Ni in sediments affected by the industrial marine area in Tuzla Aydinli Bay, Istanbul, Turkey between 2016–2020
|
Baysal, Asli
|
|
|
37 |
1 |
p. 203-217
|
artikel
|
| 7 |
A new approach to modeling pre-symptomatic incidence and transmission time of imported COVID-19 cases evolving with SARS-CoV-2 variants
|
Chen, Sam Li-Sheng
|
|
|
37 |
1 |
p. 441-452
|
artikel
|
| 8 |
Application of hybrid machine learning model for flood hazard zoning assessments
|
Wang, Jhih-Huang
|
|
|
37 |
1 |
p. 395-412
|
artikel
|
| 9 |
A quantitative analysis of research trends in flood hazard assessment
|
Zhu, Wei
|
|
|
37 |
1 |
p. 413-428
|
artikel
|
| 10 |
Contamination and risk assessment of heavy metals in coastal sediments from the Mid-Black Sea, Turkey
|
Böke Özkoç, Hülya
|
|
|
37 |
1 |
p. 375-394
|
artikel
|
| 11 |
Diverging monthly rainfall trends in south peninsular India and their association with global climate indices
|
Mathew, Micky
|
|
|
37 |
1 |
p. 27-48
|
artikel
|
| 12 |
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India
|
Elbeltagi, Ahmed
|
|
|
37 |
1 |
p. 113-131
|
artikel
|
| 13 |
Improving flash flood forecasting using a frequentist approach to identify rainfall thresholds for flash flood occurrence
|
Wu, Ziyi
|
|
|
37 |
1 |
p. 429-440
|
artikel
|
| 14 |
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries
|
Sardar, Iqra
|
|
|
37 |
1 |
p. 345-359
|
artikel
|
| 15 |
Mapping the intensity function of a non-stationary point process in unobserved areas
|
Gabriel, Edith
|
|
|
37 |
1 |
p. 327-343
|
artikel
|
| 16 |
PM2.5 concentration prediction in Lanzhou, China, using hyperchaotic cuckoo search—extreme learning machine
|
Yang, Wenjing
|
|
|
37 |
1 |
p. 261-273
|
artikel
|
| 17 |
Pollution levels, sources and risk assessment of polycyclic aromatic hydrocarbons in farmland soil and crops near Urumqi Industrial Park, Xinjiang, China
|
Cui, Xi
|
|
|
37 |
1 |
p. 361-374
|
artikel
|
| 18 |
Predicting discharge from a complex karst system using the ensemble smoother with multiple data assimilation
|
Pansa, Alessandro
|
|
|
37 |
1 |
p. 185-201
|
artikel
|
| 19 |
Real-time flood forecasting based on a general dynamic neural network framework
|
Wan, Xinyu
|
|
|
37 |
1 |
p. 133-151
|
artikel
|
| 20 |
Security assessment and obstacle factors diagnosis of water-energy-food nexus based on pressure-state-response framework in Northwest China
|
Ji, Juan
|
|
|
37 |
1 |
p. 73-88
|
artikel
|
| 21 |
Short-term forecast improvement of maximum temperature by state-space model approach: the study case of the TO CHAIR project
|
Pereira, F. Catarina
|
|
|
37 |
1 |
p. 219-231
|
artikel
|
| 22 |
Simulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin
|
Tongal, Hakan
|
|
|
37 |
1 |
p. 89-112
|
artikel
|
| 23 |
Source apportionment and risk assessment of heavy metals in urban soils from a central China city by using positive matrix factorization model coupled with Monte Carlo simulation
|
Shen, Lianfeng
|
|
|
37 |
1 |
p. 291-304
|
artikel
|
| 24 |
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion
|
Kocijan, Juš
|
|
|
37 |
1 |
p. 275-290
|
artikel
|
| 25 |
Wildfire susceptibility mapping using two empowered machine learning algorithms
|
Moayedi, Hossein
|
|
|
37 |
1 |
p. 49-72
|
artikel
|
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