Abstract: Electromyography (EMG) signals are characterized by non-stationarity, low signal-to-noise ratio (SNR), and movement diversity, posing a significant challenge for traditional filtering ...
A new "gold standard" for soil analysis and microplastic extraction has been developed at the University of New England (UNE), unlocking vital capabilities to safeguard agricultural soils and protect ...
Underwater acoustic signal processing encompasses a suite of methods designed to detect, denoise, characterise and classify sound waves propagating through the marine environment. Key challenges stem ...
Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...
The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...
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: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results