Results 61 to 70 of about 881,993 (277)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

C3S:research of CI-based concurrent transmission strategy for intelligent sensing system

open access: yesTongxin xuebao, 2019
Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consumption
Yanyan MAO   +4 more
doaj   +2 more sources

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

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

National Pipeline Mapping System (NPMS) : repository standards [PDF]

open access: yes
This draft document contains 7 sections. They are as follows: 1. General Topics, 2. Data Formats, 3. Metadata, 4. Attribute Data, 5. Data Flow, 6. Descriptive Process, and 7. Validation and Processing of Submitted Data.
Second Joint Government/Industry Pipeline Mapping Quality Action Team
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

National Pipeline Mapping System (NPMS) : standards for creating pipeline location data : standards for electronic data submissions, including metadata standards and examples [PDF]

open access: yes
These standards represent a guideline for preparing digital data for inclusion in the National Pipeline Mapping System Repository. The standards were created with input from the pipeline industry and government agencies.
Second Joint Government/Industry Pipeline Mapping Quality Action Team
core  

SoftwareSystemsLaboratory/ssl-metrics-pipeline

open access: yes, 2022
An example pipeline that computes metrics of a ...
Synovic, Nicholas   +2 more
core   +1 more source

Brief Analysis of Research and Application of Big Data Integration and Management Platform for Submarine Pipeline Inspection

open access: yesHaiyang Kaifa yu guanli, 2023
In order to improve the efficiency of submarine pipeline inspection, and manage inspection data more reasonably and effectively, so as to analyze and predict pipeline health status more scientifically, an efficient and intelligent submarine pipeline ...
Hong TANG, Yangchun LIN, Changfu ZHU
doaj  

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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