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- 2022
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Mark
A GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent Training-Based Methods
(
- Contribution to journal › Article
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Mark
Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms
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- Contribution to journal › Article
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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
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- Contribution to journal › Article
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Mark
Artificial intelligence enabled radio propagation for communications – Part I: Channel characterization and antenna-channel optimization
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- Contribution to journal › Scientific review
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Mark
Artificial intelligence enabled radio propagation for communications – Part II: Scenario identification and channel modeling
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- Contribution to journal › Scientific review
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Mark
A new strategy for linking U.S. historical censuses : A case study for the IPUMS multigenerational longitudinal panel
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- Contribution to journal › Article
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Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
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- 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
Machine Learning based Approach for the Prediction of Surface Integrity in Machining
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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SMIRK : A machine learning-based pedestrian automatic emergency braking system with a complete safety case
(
- Contribution to journal › Article