Surface rupture detection with support vector machine classification: case study from Ridgecrest, CA 

Multiple vehicle segmentation and tracking in complex environments 

An application of aerial drones in high definition mapping for autonomous vehicles 

A spatial narrative of alternative fueled vehicles in California: a GIS story map 

Reinforcement learning in hybrid electric vehicles (HEVs) / electric vehicles (EVs) 

Electric vehicles & charging stations: Los Angeles County’s roads readiness for California’s transportation electrification 

Compression algorithms for distributed classification with applications to distributed speech recognition 

Vehicle routing and resource allocation for health care under uncertainty 

New methods for asymmetric error classification and robust Bayesian inference 

Robust adaptive control for unmanned aerial vehicles 

Electric vehicle integration into the distribution grid: impact, control and forecast 

Navigation and guidance of an autonomous surface vehicle 

Design of cost-efficient multi-sensor collaboration in wireless sensor networks 

Decision support systems for adaptive experimental design of autonomous, off-road ground vehicles 

Personalized driver assistance systems based on driver/vehicle models 

Risk-aware path planning for autonomous underwater vehicles 

Efficient machine learning techniques for low- and high-dimensional data sources 

Effect of spatial patterns on sampling design performance in a vegetation map accuracy assessment 

Discrete-synapse recurrent neural network for nonlinear system modeling and seismic signal classification 

Enabling spatial-visual search for geospatial image databases 

Theoretical foundations for modeling, analysis and optimization of cyber-physical-human systems 

Routing and inventory model for emergency response to minimize unmet demand 

Species distribution modeling to predict the spread of Spartium junceum in the Angeles National Forest 

Explainable and green solutions to point cloud classification and segmentation 

Using classification and regression trees (CART) and random forests to address missing data