| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Novel FD3 Framework for Carbon Emissions Prediction
|
He, Houtian
|
|
|
29 |
3 |
p. 455-469
|
artikel
|
| 2 |
A Seasonal-Trend Decomposition and Single Dendrite Neuron-Based Predicting Model for Greenhouse Time Series
|
Li, Qianqian
|
|
|
29 |
3 |
p. 427-440
|
artikel
|
| 3 |
Evaluating Air Quality Status in Chicago: Application of Street View Imagery and Urban Climate Sensors
|
Jiao, Junfeng
|
|
|
29 |
3 |
p. 471-488
|
artikel
|
| 4 |
Factors Influencing Energy Consumption from China’s Tourist Attractions: A Structural Decomposition Analysis with LMDI and K-Means Clustering
|
Zhao, Erlong
|
|
|
29 |
3 |
p. 569-587
|
artikel
|
| 5 |
Forecasting Methane Data Using Multivariate Long Short-Term Memory Neural Networks
|
Luo, Ran
|
|
|
29 |
3 |
p. 441-454
|
artikel
|
| 6 |
Foreword: Machine Learning in Environmental Modelling
|
Wang, You-Gan
|
|
|
29 |
3 |
p. 425-426
|
artikel
|
| 7 |
Integrating UAV and Freely Available Space-Borne Data to Describe Tree Decline Across Semi-arid Mountainous Forests
|
Ghasemi, Marziye
|
|
|
29 |
3 |
p. 549-568
|
artikel
|
| 8 |
Machine Learning for Modeling Soil Organic Carbon as Affected by Land Cover Change in the Nebraska Sandhills, USA
|
Li, Lidong
|
|
|
29 |
3 |
p. 535-547
|
artikel
|
| 9 |
Performance Analysis of ConvLSTM, FlamMap, and CA Algorithms to Predict Wildfire Spread in Golestan National Park, NE Iran
|
Khalaf, Mhd. Wathek Alhaj
|
|
|
29 |
3 |
p. 489-502
|
artikel
|
| 10 |
PSO-CNN-Bi-LSTM: A Hybrid Optimization-Enabled Deep Learning Model for Smart Farming
|
Saini, Preeti
|
|
|
29 |
3 |
p. 517-534
|
artikel
|
| 11 |
Reference Evapotranspiration Modelling Using Artificial Neural Networks Under Scenarios of Limited Weather Data: A Case Study in the Malwa Region of Punjab
|
Kumar, Sunil
|
|
|
29 |
3 |
p. 589-620
|
artikel
|
| 12 |
Time Series Clustering and Influencing Factors Analysis on Qinghai-Tibet Plateau Lake Area Change
|
He, Hao
|
|
|
29 |
3 |
p. 503-516
|
artikel
|
| 13 |
Uncertainty Quantification of Contaminated Soil Volume with Deep Neural Networks and Predictive Models
|
Guridi, Ignacio
|
|
|
29 |
3 |
p. 621-640
|
artikel
|
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