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Materie / parole chiave: CONDON, ROBERT J; RESTON PUBLISHING COMPANY; 658.05 C746d3

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. Specifically, three categories of 2D diffractive chiral str...

Integrated photonics offers attractive solutions for realizing combinational logic for high-performance computing. The integrated photonic chips can be further optimized using multiplexing techniques such as wavelength-d...

This study introduces fiber-assisted nanoparticle tracking analysis (FaNTA) as a platform for nanorheology that utilizes an advanced antiresonant optical fiber to analyze the viscoelastic properties of fluids at the nano...

Metasurfaces, capable of manipulating light at subwavelength scales, hold great potential for advancing optoelectronic applications. Generative models, particularly Generative Adversarial Networks (GANs), offer a promisi...

Global food supply chains continue to expand in scale and complexity, heightening risks of fraud, mislabeling, and cross-contamination across certification systems. These vulnerabilities are particularly consequential fo...

ABSTRACT Background and Aims Clinical laboratory test results play a fundamental role in clinical decision making, influencing approximately 70% of medical decisions. Numerous studies have shown that errors can occur thr...

Background Despite the availability of evidence-based treatments for posttraumatic stress disorder (PTSD), significant heterogeneity in the effectiveness of PTSD treatment persists, especially in community settings. Clie...

The technologically-relevant task of feature extraction from data performed in deep-learning systems is routinely accomplished as repeated fast Fourier transforms (FFT) electronically in prevalent domain-specific archite...

Optical computing offers potential for ultra high-speed and low-latency computation by leveraging the intrinsic properties of light, such as parallelism and linear as well as nonlinear ultra-high bandwidth signal transfo...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

ABSTRACT Background According to global projections, by the year 2050, ischemic heart disease will remain the leading cause of cardiovascular deaths with hypertension as a leading modifiable risk factor for mortality. Im...

Deep learning has become the dominant approach in artificial intelligence to solve complex data-driven problems. Originally applied almost exclusively in computer-science areas such as image analysis and nature language ...

Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency...

Materie / parole chiave: Discourse analysis; Data processing; Language and languages; Computer-assisted instruction; Communication; Technological innovations; Electronic books

Abstract In a previous scientific opinion on application EFSA‐GMO‐BE‐2016‐138, the EFSA Panel on Genetically Modified Organisms (GMO Panel) could not conclude on the comparative analysis and on the food and feed ...