Imagen de Portada

Learning driving style embedding from GPS-derived moving patterns for driver identification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Lu, Lin
Formato:	Preprint
Publicado:	2024
Materias:	Computational Engineering, Finance, and Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Lenz effect in conductive nonmagnetic objects moved in MRI environments
por: Arduino, Alessandro, et al.
Publicado: (2025)

A Meta-Cognitive Swarm Intelligence Framework for Resilient UAV Navigation in GPS-Denied and Cluttered Environments
por: Mankoe, Mathias, et al.
Publicado: (2025)

Toward path-invariant embeddings for local distance source characterization
por: Linville, Lisa, et al.
Publicado: (2024)

Comparison of different methods for identification of dominant oscillation mode
por: Dedovic, Maja Muftic, et al.
Publicado: (2024)

Simultaneous analysis of curved Kirchhoff beams and Kirchhoff--Love shells embedded in bulk domains
por: Neumeyer, Jonas, et al.
Publicado: (2026)

Nonlinear elastodynamic material identification of heterogeneous isogeometric Bernoulli-Euler beams
por: Łazorczyk, Bartłomiej, et al.
Publicado: (2025)

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter
por: Rodriguez, Simon, et al.
Publicado: (2022)

Naturalness Indicators of Forests in Southern Sweden derived from the Canopy Height Model
por: Della Vedova, Marco L., et al.
Publicado: (2024)

Higher-order transmissibility and its linear approximation for in-service crack identification in train wheelset axles
por: Naghizadeh, Ehsan, et al.
Publicado: (2025)

Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic
por: Wang, Yuting, et al.
Publicado: (2024)

Normalized field product approach: A parameter-free density evaluation method for close-to-binary solutions in topology optimization with embedded length scale
por: Singh, Nikhil, et al.
Publicado: (2024)

DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification
por: Xu, Weipeng, et al.
Publicado: (2025)

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations
por: Ouyang, Weihang, et al.
Publicado: (2025)

Open Meshed Anatomy: Towards a comprehensive finite element hexahedral mesh derived from open atlases
por: Huynh, Andy Trung, et al.
Publicado: (2024)

Space-time unfitted finite elements on moving explicit geometry representations
por: Badia, Santiago, et al.
Publicado: (2024)

A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks
por: Linden, Lennart, et al.
Publicado: (2025)

Implicit differentiation with second-order derivatives and benchmarks in finite-element-based differentiable physics
por: Xue, Tianju
Publicado: (2025)

ParlayMarket: Automated Market Making for Parlay-style Joint Contracts
por: Rana, Ranvir, et al.
Publicado: (2026)

Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
por: Go, Jinwoo, et al.
Publicado: (2024)

Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
por: Cheng, Qishuo
Publicado: (2024)

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
por: Li, Yinghan, et al.
Publicado: (2025)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
por: Xu, Wenyan, et al.
Publicado: (2025)

Quantifying Bounded Rationality: Formal Verification of Simon's Satisficing Through Flexible Stochastic Dominance
por: Li, Jingyuan, et al.
Publicado: (2025)

Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options
por: Xu, Wenyan, et al.
Publicado: (2025)

Learning Collective Medication Effects via Multi-level Abstraction for Medication Recommendation
por: Wang, Yanda, et al.
Publicado: (2026)

ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
por: Wang, Zeyu, et al.
Publicado: (2026)

Predicting Accurate Hot Spots in a More Than Ten-Thousand-Core GPU with a Million-Time Speedup over FEM Enabled by a Physics-based Learning Algorithm
por: Jian, Lin, et al.
Publicado: (2024)

New parametric identification method for a preference model
por: Renaud, J, et al.
Publicado: (2024)

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
por: Liu, Yen-Ku, et al.
Publicado: (2025)

Detecting Information Channels in Congressional Trading via Temporal Graph Learning
por: Roodman, Benjamin Pham, et al.
Publicado: (2026)

Accurate identification of communication between multiple interacting neural populations
por: Liu, Belle, et al.
Publicado: (2025)

Tokenized but Illiquid? Evidence from Real-World Asset Markets
por: Mafrur, Rischan
Publicado: (2026)

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
por: Ouyang, Weihang, et al.
Publicado: (2025)

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
por: Shen, Bolin, et al.
Publicado: (2025)

Internet sentiment exacerbates intraday overtrading, evidence from A-Share market
por: Yifeng, Peng
Publicado: (2024)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
por: Kim, Minwu, et al.
Publicado: (2024)

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data
por: Li, Ruikun, et al.
Publicado: (2025)

LKA: Large Kernel Adapter for Enhanced Medical Image Classification
por: Zhu, Ziquan, et al.
Publicado: (2025)

Refining embeddings with fill-tuning: data-efficient generalised performance improvements for materials foundation models
por: Wilson, Matthew P., et al.
Publicado: (2025)

Scientific Machine Learning-assisted Model Discovery from Telemetry Data
por: Micluta-Campeanu, Sebastian, et al.
Publicado: (2026)