One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Abstract: Inverse reinforcement learning (IRL) is a technique for automatic reward acquisition, however, it is difficult to apply to high-dimensional problems with unknown dynamics. This article ...

End-to-end (E2E) autonomous driving aims to simplify the traditional modular pipeline by directly mapping multi-sensor inputs to driving actions through deep learning, enabling joint optimization and ...

Bayesian regression with linear basis function models. Introduction to Bayesian linear regression. Implementation with plain NumPy and scikit-learn. See also PyMC3 implementation. Gaussian processes.

The generation of synthetic market data is widely seen as one of the most promising applications of sophisticated artificial intelligence models, such as generative adversarial networks (GANs) and ...

Underwater 3D reconstruction is essential for marine surveying, ecological protection, and underwater engineering. Traditional methods, designed for air environments, fail to account for underwater ...

State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang Liaoning 110819, China College of Information Science and Engineering, Northeastern University, ...

Abstract: Reinforcement learning (RL) still suffers from the problem of sample inefficiency and struggles with the exploration issue, particularly in situations with long-delayed rewards, sparse ...

Center for Superfunctional Materials, Department of Chemistry, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, Korea Article Views are the COUNTER-compliant sum of full ...