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Found 8 papers, 1 papers with code
From Words to Molecules: A Survey of Large Language Models in Chemistry
After that, we explore the diverse applications of LLMs in chemistry, including novel paradigms for their application in chemistry tasks.
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning
Specifically, we combine well-established traffic flow theory with machine learning to construct a reward inference model to infer the reward signals from coarse-grained traffic data.
A Link Transmission Model with Variable Speed Limits and Turn-Level Queue Transmission at Signalized Intersections
The link transmission model (LTM) is an efficient and widely used macro-level approach for simulating traffic flow.
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Accurate traffic forecasting at intersections governed by intelligent traffic signals is critical for the advancement of an effective intelligent traffic signal control system.
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
Spatiotemporal urban data (STUD) displays complex correlational patterns.
Distributionally robust second-order stochastic dominance constrained optimization with Wasserstein ball
We consider a distributionally robust second-order stochastic dominance constrained optimization problem.
Optimization and Control 90C15, 91B70, 90C31, 90-08
Planning Skip-Stop Transit Service under Heterogeneous Demands
These are shown to be near-optimal for a variety of numerical examples.
Optimization and Control
Eavesdropping Risk Evaluation on Terahertz Wireless Channels in Atmospheric Turbulence
Wireless networks operating at terahertz (THz) frequencies have been proposed as a promising candidate to support the ever-increasing capacity demand, which cannot be satisfied with existing radio-frequency (RF) technology.
