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Article
A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage
Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for the improvement of neurological outcomes in intracerebral hemorrhage (ICH) patients. Our goal was to predict early and dela...
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Article
Open AccessPolyethylenimine-CO2 adduct templated CaCO3 nanoparticles as anticancer drug carrier
Due to their porous structure and capability to degrade under acidic conditions, CaCO3 nanoparticles in vaterite form can be used as carriers to effectively deliver drugs to low-pH sites such as tumors. The usual...
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Article
Introduction to the focused section on novel sensing and multi-sensor fusion in robotics
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Article
Open AccessMulti-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic
Autonomous driving has attracted significant research interests in the past two decades as it offers many potential benefits, including releasing drivers from exhausting driving and mitigating traffic congesti...
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Article
Deep learning and case-based reasoning for predictive and adaptive traffic emergency management
An efficient traffic signal control system (TSCS) should not only be reactive to the current traffic but also be predictive by anticipating future traffic disturbances. In this study, we investigate the potent...
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Article
Guest editorial: Networked cyber-physical systems: Optimization theory and applications
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Chapter
H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information
This chapter presents an \(H_{\infty }\) H ...
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Chapter
Aggregation-Based Thermal Model Reduction
In this chapter, we propose an aggregation-based model reduction method for nonlinear building thermal models. The full-order model, which is already a lumped-parameter approximation, quickly grows in state-sp...
