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- 2022
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Mark
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
(
- Contribution to journal › Article
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Mark
A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level
(
- Contribution to journal › Article
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Mark
On-line compositional measurements of AuAg aerosol nanoparticles using optical emission from spark ablation
2022) International Aerosol Conference 2022(
- Contribution to conference › Abstract
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Mark
Linking Hydro-Physical Variables and Landscape Metrics using Advanced Data Mining for Stream-Flow Prediction
(
- Contribution to journal › Article
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Mark
Optimizing Exposome-wide Assessments in Cardiometabolic Risk
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
SMIRK : A machine learning-based pedestrian automatic emergency braking system with a complete safety case
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- Contribution to journal › Article
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Mark
Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests
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- Contribution to journal › Article
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Mark
Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
2022)(
- Thesis › Doctoral thesis (compilation)
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Mark
Machine Learning based Approach for the Prediction of Surface Integrity in Machining
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
(
- Contribution to journal › Article