A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

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 ...

1 Department of Information Technology, Central University of Kashmir, Ganderbal, Jammu and Kashmir, India 2 Department of Computer Science and Engineering, National Institute of Technology, Srinagar, ...

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 ...

ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...

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: 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 ...