AlphaGalileo

Protecting Gobiocypris rarus: Predicting pollution risks with ML

A research team has developed a machine learning–based quantitative structure–activity relationship (ML-QSAR) method to ...
Scientific Research Publishing

Leaning Sparse Nonlinear Dynamical Systems via Frank-Wolfe Algorithm with Integral Strategy ()

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
IEEE

Improved Multi-Dimensional Holomorphic Embedding-Based Approximate Dynamic Programming for Stochastic Optimal Power Flow of Active Distribution Network

Abstract: The optimal power flow (OPF) problem of active distribution network (ADN) is a stochastic, nonconvex, and nonlinear problem. Although several algorithms have been presented to solve this ...
IEEE

Network-Level Optimization for Unbalanced Power Distribution System: Approximation and Relaxation

Abstract: The nonlinear programming (NLP) problem to solve distribution-level optimal power flow (D-OPF) poses convergence issues and does not scale well for unbalanced distribution systems. The ...
Frontiers

The Scalp Time-Varying Networks of N170: Reference, Latency, and Information Flow

Using the scalp time-varying network method, the present study is the first to investigate the temporal influence of the reference on N170, a negative event-related potential component (ERP) appeared ...