As the AI era unfolds around us, Johns Hopkins' historians Angus Burgin and Louis Hyman reflect on lessons learned from the ...

Two key trends are shaping the teaching of programming to the next generation of computing engineers at present. The first is ...

Abstract: Different kinds of compensation topologies in wireless power transfer (WPT) systems usually can only achieve constant voltage (CV) or constant current (CC) output at the same time when the ...

In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...

The AI mood at SXSW has shifted from novelty to economics, with sessions narrowing in on search, the creator economy, data centers, and the grid itself ...

Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

A Matlab implementation of Dynamic Programming Algorithm for stereo matching. It provides vertical smoothness by trying to keep the current path close to the former path using an additional ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...