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 ...
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 ...
Scientific Research Publishing

Design of Expressway Toll Station Based on Neural Network and Traffic Flow ()

This paper is concerned with the design of expressway toll station problem based on neural network and traffic flow. Firstly, the design of the toll plaza is mainly through analyzing the daily traffic ...
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 ...