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Abstract Deep learning algorithms based on neural networks make remarkable achievements in machine fault diagnosis, while the noise mixed in measured signals harms the prediction accuracy of networks. Existing denoising ...

Aim: The present study investigates the influence of various homogenization techniques, namely high-pressure valve homogenization and microfluidization, and different forms of modified sunflower lecithin, including deoil...

We provide an overview of the experimental techniques, measurement modalities, and diverse applications of the quantum diamond microscope (QDM). The QDM employs a dense layer of fluorescent nitrogen-vacancy (NV) color ce...

Recent years have witnessed a rapid development in the field of structural coloration, colors generated from the interaction of nanostructures with light. Compared to conventional color generation based on pigments and d...

Optical three-dimensional (3D) measurement is a critical tool in micro-nano manufacturing, the automotive industry, and medical technology due to its nondestructive nature, high precision, and sensitivity. However, passi...

Achieving long-wavelength infrared (LWIR) cameras with high sensitivity and shorter exposure times faces challenges due to series reflections from high-refractive index lenses within compact optical systems. However, des...

Deep learning (DL) has emerged as a promising tool for photonic inverse design. Nevertheless, despite the initial success in retrieving spectra of modest complexity with nearly instantaneous readout, DL-assisted design m...

Both, a global isothermal temperature model and a nonlinear quadratic temperature model of the ISA was developed and presented here. Constrained optimization techniques in conjunction with the least-square-root approxima...

The emergence of metamaterials (MMs) has led to groundbreaking photo-physical phenomena, which arise from their novel structure-dependent properties. Consisting of “meta-atom” building blocks, MMs can be organized in...

The no-tillage systems production in Argentina requires high traffic intensities, for example 50 to 65 Mg km ha. Due to these traffic intensities applied continuously and successively, the soils are compacted. An of the ...

Mark Z. Danielewski's ergodic novel, House of Leaves, intricately employs various narrative techniques to represent the thematic presence of absence and space in the novel. The novel navigates through layers of darkness ...

Robotic soccer is a way of putting different developments in intelligent agents into practice, including not only problems such as multi-agent planning and coordination, but also physical problems related to vision and c...

La intensificación de la agricultura a generado una degradación de los suelos en los agroecositemas de la pampa húmeda y subhúmeda Argentina que ha teniendo efectos sobre propiedades físicas y químicas del suelo,...

The present study utilizes approach of solid dispersions (SDs) to improve dissolution rate of Gliclazide (GLZ); a poorly water soluble anti-diabetic drug. Formulations were prepared by solvent evaporation and melt disper...

There are currently ci 75 GTN-P boreholes and 18 CALM sites in Antarctica, most of them installed during the IPY and still with a short data series. In the Antarctic Peninsula, only 6 boreholes are deeper than 10 m and 4...

En este trabajo se han estudiado varios de los diferentes procesos que tienen lugar durante el calentamiento y la fusión de superficies de aceros al carbono producidos por irradiación con luz infrarroja coherente. En p...

Much effort has been expended in the aerospace industry in order to achieve the highest quality standards required for nowadays technical and environmental necessities. This involves the increase of specific power and ov...

BACKGROUND Materials by design is an appealing idea that is very hard to realize in practice. Combining the best of different ingredients in one ultimate material is a task for which we currently have no general solution...

Subjects / keywords: physical layer techniques, network management, network signal processing, neural networks and machine learning, bayesian networks and statistical inference, tensor networks; Technology: Electrical engineering. Electronic...