Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...
Aptima reached the Army xTechHumanoid finals with a fully autonomous locomotion system that helps humanoid robots navigate ...
Abstract: To improve the control performance of permanent magnet synchronous motor (PMSM) drive systems, this article proposes a model-free predictive current control method based on adaptive extended ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
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 The source code has been archived on ...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 ...
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 the ...
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 ...
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