A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Abstract: The article considers the method and nonlinear algorithms for adaptive estimation and navigation of uncrewed vehicles under structural and parametric uncertainty. The expediency of using ...
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 ...
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 ...
1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China 2 Shandong Gaomi Technician Institute, Shandong Province, China For the low ...
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: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
Abstract: This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase ...
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