Predicting California Bearing Ratio with Ensemble and Neural Network Models: A Case Study from Turkiye
Fuente:
arXiv
Saved in:
| Main Authors: | Kökçam, Abdullah Hulusi, Dağdeviren, Uğur, Kurnaz, Talas Fikret, Demir, Alparslan Serhat, Erden, Caner |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
by: Erden, Caner, et al.
Published: (2025)
by: Erden, Caner, et al.
Published: (2025)
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026)
by: Sharma, Paras, et al.
Published: (2026)
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)
by: Liu, Qingfeng, et al.
Published: (2021)
Systematic Absence of Low-Confidence Nighttime Fire Detections in VIIRS Active Fire Product: Evidence of Undocumented Algorithmic Filtering
by: Dhage, Rohit Rajendra
Published: (2025)
by: Dhage, Rohit Rajendra
Published: (2025)
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
by: MacKinlay, Dan, et al.
Published: (2024)
by: MacKinlay, Dan, et al.
Published: (2024)
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)
by: Høyheim, Eirik, et al.
Published: (2025)
Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
by: Hubin, Aliaksandr
Published: (2025)
by: Hubin, Aliaksandr
Published: (2025)
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025)
by: Frommlet, Florian, et al.
Published: (2025)
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
by: Uehara, Eichi
Published: (2025)
by: Uehara, Eichi
Published: (2025)
Sparse estimation in ordinary kriging for functional data
by: Matsui, Hidetoshi, et al.
Published: (2023)
by: Matsui, Hidetoshi, et al.
Published: (2023)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)
by: Alagöz, Celal, et al.
Published: (2026)
A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury
by: Sharma, Akul, et al.
Published: (2025)
by: Sharma, Akul, et al.
Published: (2025)
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
by: Chen, Xia, et al.
Published: (2025)
by: Chen, Xia, et al.
Published: (2025)
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
by: Wan, Shu, et al.
Published: (2026)
by: Wan, Shu, et al.
Published: (2026)
metabeta -- A fast neural model for Bayesian mixed-effects regression
by: Kipnis, Alex, et al.
Published: (2025)
by: Kipnis, Alex, et al.
Published: (2025)
Empirical model of SSUSI-derived auroral ionization rates
by: Bender, Stefan, et al.
Published: (2023)
by: Bender, Stefan, et al.
Published: (2023)
A HEART for the environment: Transformer-Based Spatiotemporal Modeling for Air Quality Prediction
by: Bodendorfer, Norbert
Published: (2025)
by: Bodendorfer, Norbert
Published: (2025)
Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
by: Adutwum, Emmanuel
Published: (2026)
by: Adutwum, Emmanuel
Published: (2026)
Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data
by: Yakout, Marawan, et al.
Published: (2026)
by: Yakout, Marawan, et al.
Published: (2026)
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
by: Fernández-Godino, M. Giselle, et al.
Published: (2024)
by: Fernández-Godino, M. Giselle, et al.
Published: (2024)
AI Literacy and LLM Engagement in Higher Education: A Cross-National Quantitative Study
by: Hossain, Shahin, et al.
Published: (2025)
by: Hossain, Shahin, et al.
Published: (2025)
Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability
by: Allen, Ryan, et al.
Published: (2026)
by: Allen, Ryan, et al.
Published: (2026)
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)
Spatiotemporally Consistent Multivariate Bias Correction for Climate Projections via Nested Vine Copulas
by: Meier, Theresa, et al.
Published: (2026)
by: Meier, Theresa, et al.
Published: (2026)
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
by: Arafat, Jahidul, et al.
Published: (2025)
by: Arafat, Jahidul, et al.
Published: (2025)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses
by: Wang, Yan, et al.
Published: (2026)
by: Wang, Yan, et al.
Published: (2026)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
by: Dai, Fan, et al.
Published: (2026)
by: Dai, Fan, et al.
Published: (2026)
Learning Continuous Solvent Effects from Transient Flow Data: A Graph Neural Network Benchmark on Catechol Rearrangement
by: Xing, Hongsheng, et al.
Published: (2025)
by: Xing, Hongsheng, et al.
Published: (2025)
Bias in Surface Electromyography Features across a Demographically Diverse Cohort
by: Agrawal, Aditi, et al.
Published: (2026)
by: Agrawal, Aditi, et al.
Published: (2026)
Impact of rainfall risk on rice production: realized volatility in mean model
by: Ghosh, Soham, et al.
Published: (2025)
by: Ghosh, Soham, et al.
Published: (2025)
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
by: Ali, Mohammad Wazed, et al.
Published: (2024)
by: Ali, Mohammad Wazed, et al.
Published: (2024)
Exploring the usage of Probabilistic Neural Networks for Ionospheric electron density estimation
by: Garcia-Fernandez, Miquel
Published: (2025)
by: Garcia-Fernandez, Miquel
Published: (2025)
Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)
by: Sergeev, Fedor, et al.
Published: (2025)
A Regression-Based Share Market Prediction Model for Bangladesh
by: Fabiha, Syeda Tasnim, et al.
Published: (2025)
by: Fabiha, Syeda Tasnim, et al.
Published: (2025)
RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials
by: Ly, Sel, et al.
Published: (2025)
by: Ly, Sel, et al.
Published: (2025)
Beyond Least Squares: Robust Regression Transformer (R2T)
by: Gutierrez, Roman, et al.
Published: (2025)
by: Gutierrez, Roman, et al.
Published: (2025)
Benchmarking changepoint detection algorithms on cardiac time series
by: Cakmak, Ayse, et al.
Published: (2024)
by: Cakmak, Ayse, et al.
Published: (2024)
Similar Items
-
Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
by: Erden, Caner, et al.
Published: (2025) -
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026) -
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021) -
Systematic Absence of Low-Confidence Nighttime Fire Detections in VIIRS Active Fire Product: Evidence of Undocumented Algorithmic Filtering
by: Dhage, Rohit Rajendra
Published: (2025) -
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)