A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Abstract: In this paper, we propose a new type of continuous wavelet transform. However we discretize the variables of integral a and b, any numerical integral has a high resolution and a does not ...

ABSTRACT: Rail defects, both internal and external, pose significant safety risks. Acoustic Emission (AE) technology has emerged as a promising method for monitoring damage progression and detecting ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. For midsize enterprises (MSEs), the finance function is ...

The module includes both a Python library and a REST API server for remote wavelet analysis. Sample scripts (sample.py, sample_xwt.py) illustrate library usage, while the server enables integration ...

Introduction: Near-infrared spectroscopy is now a popular method in neuromonitoring. Derived parameters like cerebral oxygenation index or Fast Fourier Transform based coherence estimates between ...

Digital transformation is reshaping industries across the globe, redefining how businesses operate and compete. From AI-powered automation to advanced data analytics, organizations now have powerful ...

Abstract: This article proposes a novel harmonic extraction method with continuous wavelet transform (CWT) based on prior knowledge of wavelength modulation spectroscopy (WMS) and shift strategy (PK-S ...

Organizations typically undergo business transformations not only to meet strategic objectives but also to develop the critical business capabilities needed to remain agile, resilient, and sustainable ...

Human activity and climate change have significantly modified the hydrological processes of groundwater. In coal mining areas, dewatering operations have become more influential than climate change, ...