A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
Deep feature extraction method for automatic classification and processing of accounting information
Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
Abstract: Deep learning methods have been widely used to map building contours automatically in high-resolution remote sensing images over recent years. However, most deep learning-based methods still ...
ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
Noise is the bane of signal engineers, but deep learning models with AI can adapt to specific noises and filter them out with minimal to no human intervention required. It is a powerful feature for ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
Introduction: Automatic modulation recognition (AMR) plays a crucial role in modern communication systems for efficient signal processing and monitoring. However, existing modulation recognition ...
The LPC4088 microcontrollers feature advanced signal-processing capabilities along with USB 2.0, an Ethernet MAC, and CAN 2.0B. Based on a 120-MHz Cortex-M4 processor, the MCU has 512 Kbytes of flash, ...
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