In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
This repository is publicly available on GitHub and provides full access to the source code required to reproduce all experiments reported in the manuscript. The source code has been archived on ...
According to @XPengMotors, the upcoming XPENG P7 features advanced AI-driven systems designed to optimize tire grip and driving stability in winter conditions, leveraging real-time sensor data and ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
Abstract: In order to address the challenges of unknown initial positions and accumulated long-distance positioning errors in Pedestrian Dead Reckoning (PDR), as well as significant ranging errors ...
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