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- Lawrence Berkeley National LaboratoryUS288 papers
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31 papers · 1 filter
Dynamic resource matching in manufacturing using deep reinforcement learning
Saunak Kumar Panda, Yisha Xiang, Ruiqi Liu
Matching plays an important role in the logical allocation of resources across a wide range of industries. The benefits of matching have been increasingly recognized in manufacturi…
Blog Data Showdown: Machine Learning vs Neuro-Symbolic Models for Gender Classification
Natnael Tilahun Sinshaw, Mengmei He, Tadesse K. Bahiru +1
Text classification problems, such as gender classification from a blog, have been a well-matured research area that has been well studied using machine learning algorithms. It has…
Online Learning with Probing for Sequential User-Centric Selection
Tianyi Xu, Yiting Chen, Henger Li +3
We formalize sequential decision-making with information acquisition as the probing-augmented user-centric selection (PUCS) framework, where a learner first probes a subset of arms…
Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling
Lu Gao, Ke Yu, Pan Lu
Pavement deterioration modeling is important in providing information regarding the future state of the road network and in determining the needs of preventive maintenance or rehab…
Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI
Lidan Peng, Lu Gao, Feng Hong +1
Flooding can damage pavement infrastructure significantly, causing both immediate and long-term structural and functional issues. This research investigates how flooding events aff…
Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
Prathyush Kumar Reddy Lebaku, Lu Gao, Yunpeng Zhang +3
Anomaly detection in connected autonomous vehicles (CAVs) is crucial for maintaining safe and reliable transportation networks, as CAVs can be susceptible to sensor malfunctions, c…