Abstract: Neural network algorithm (NNA) is a new type of population-based meta-heuristic algorithm, which is inspired by artificial neural networks. NNA is a result of the deep integration of ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

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: 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: Echo cancellation plays a crucial role in speech signal processing, with adaptive filtering algorithms widely used due to their real-time performance. However, fixed-parameter adaptive ...

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