Results 131 to 140 of about 45,858,308 (251)

Automatic Identification System

open access: yes, 2015
Top 20This project present and focus on the ricehopper detection system. The title of this project is “Automatic Identification System”. This project explained in details of analysis and design of ricehopper detection system using pcDuino as open ...
Mohamad Shafiq bin Md Yusof   +1 more
core   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

open access: yesArthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil   +7 more
wiley   +1 more source

Tracking Tourism Waves: Insights from Automatic Identification System (AIS) Data on Maritime–Coastal Activities

open access: yesTourism and Hospitality
The demand for maritime–coastal tourism has been intensifying, but its offerings are sometimes limited to a few activities. Some of these activities do not require specific skills or certifications, while others do.
Jorge Ramos   +4 more
doaj   +1 more source

Automatic identification system data implementation to a weather ship routing

open access: yes, 2020
Aquesta contribució forma part d’un treball de recerca de la facultat de nàutica de barcelona relacionat amb la optimització de rutes, ampliant i millorant-lo amb la incorporació de tres noves eines. l’algoritme, anomenat simroute, ha estat desenvolupat per un grup de recerca de la upc i inicialment comparava la ruta òptima amb la ruta de mínima ...
openaire   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling   +4 more
wiley   +1 more source

Automatic identification of metaphoric utterances [PDF]

open access: yes, 2013
This dissertation analyzes the problem of metaphor identification in linguistic and computational semantics, considering both manual and automatic approaches.
Dunn, Jonathan Edwin
core  

Prevalence of Dietary Supplement Use and Potential Medication Interactions Among Adults With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson   +7 more
wiley   +1 more source

Identification and system parameter estimation : selected papers from the ... IFAC/IFORS Symposium.

open access: yes
Description based on: 9th (1991).Latest issue consulted: 9th (8-12 July 1991).Issued in ...
IFAC/IFORS Symposium on Identification and System Parameter Estimation.   +1 more
core  

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

open access: yesArthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi   +7 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy