Results 51 to 60 of about 5,183 (209)

Can Large Artificial Intelligence‐Based Linguistic Models Help to Obtain Information About Burning Mouth Syndrome?

Oral Diseases, EarlyView.
ABSTRACT Objective Burning Mouth Syndrome (BMS) is an idiopathic chronic orofacial pain disorder with diagnostic and therapeutic challenges. Inexperienced clinicians may desperately resort to online information. The objective of this study was to evaluate the usefulness, quality, and readability of responses generated by three artificial intelligence ...
Paula Benito López, Daniela Adamo, Vito Carlo Alberto Caponio, José González‐Serrano, Alan Roger dos Santos Silva, Miguel de Pedro Herráez, Rui Albuquerque, María Pía López Jornet, Vlaho Brailo, Arwa Farag, Márcio Diniz Freitas, Noburo Noma, Richeal Ni Riordain, Gonzalo Hernández, Rosa María López‐Pintor   +14 more
wiley   +1 more source

Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems

International Journal of Prognostics and Health Management, 2016
The Adaptive Multi-scale Prognostics and Health Management (AM-PHM) is a methodology designed to enable PHM in smart manufacturing systems. In application, PHM information is not yet fully utilized in higher-level decisionmaking in manufacturing systems.
Benjamin Y. Choo, Stephen C. Adams, Brian A. Weiss, Jeremy A. Marvel, Peter A. Beling   +4 more
doaj   +1 more source

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection [PDF]

, 2019
It is important to identify the change point of a system's health status, which usually signifies an incipient fault under development. The One-Class Support Vector Machine (OC-SVM) is a popular machine learning model for anomaly detection and hence ...
Chen, Yuxin, Jin, Baihong, Li, Dan, Poolla, Kameshwar, Sangiovanni-Vincentelli, Alberto   +4 more
core   +2 more sources

Gene‐specific double‐stranded RNAs induce mortality in the South African mealybug Delottococcus aberiae

Pest Management Science, Volume 82, Issue 6, Page 5184-5194, June 2026.
Gene‐specific double‐stranded RNAs effectively silence essential genes in the invasive citrus pest Delottococcus aberiae, leading to significant mortality through both microinjection and oral delivery. These results provide proof of concept for RNA interference‐based biopesticides as selective and sustainable tools for citrus integrated pest management.
Carolina Gallego‐Giraldo, Alberto Urbaneja, Omar Ruíz‐Rivero, Verónica Aragonés, Marie Guijarro‐Guijarro, José‐Antonio Daròs, Meritxell Perez‐Hedo   +6 more
wiley   +1 more source

Battery Prognostics and Health Management: AI and Big Data

World Electric Vehicle Journal
In the Industry 4.0 era, integrating artificial intelligence (AI) with battery prognostics and health management (PHM) offers transformative solutions to the challenges posed by the complex nature of battery systems.
Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao   +3 more
doaj   +1 more source

The present status and future growth of maintenance in US manufacturing: results from a pilot survey

Manufacturing Review, 2016
A research study was conducted (1) to examine the practices employed by US manufacturers to achieve productivity goals and (2) to understand what level of intelligent maintenance technologies and strategies are being incorporated into these practices ...
Jin Xiaoning, Siegel David, Weiss Brian A., Gamel Ellen, Wang Wei, Lee Jay, Ni Jun   +6 more
doaj   +1 more source

Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics

Applied Sciences, 2022
Extracting representative feature sets from raw signals is crucial in Prognostics and Health Management (PHM) for components’ behavior understanding. The literature proposes various methods, including signal processing in the time, frequency, and time ...
Francesca Calabrese, Alberto Regattieri, Raffaele Piscitelli, Marco Bortolini, Francesco Gabriele Galizia   +4 more
doaj   +1 more source

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source

Research and Application for Prognostics and Health Management of EMUs

机车电传动, 2018
The development of PHM (prognostics and health management) was introduced. The PHM technology system and system architecture for EMUs were put foward based on the research of the functional structure as well as operation and maintenance of EMUs. Based on
CHI Yugan
doaj  

Towards a Capabilities Taxonomy for Prognostics and Health Management

International Journal of Prognostics and Health Management, 2014
This communication proposes the development by the PHM Society of a classification or taxonomy for the skills needed for the prognostics and health management (PHM) field.
Jeff Bird, Nancy Madge, Karl Reichard
doaj   +1 more source