grateful 发表于 2025-3-21 16:59:44
书目名称Digital Railway Infrastructure影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0279631<br><br> <br><br>书目名称Digital Railway Infrastructure读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0279631<br><br> <br><br>Prostaglandins 发表于 2025-3-21 22:15:17
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Railway Bridges Health Monitoring Supported by Artificial Intelligence,systems. To achieve this goal, an innovative data-driven Artificial Intelligence (AI)-based methodology is proposed, consisting of a combination of time series analysis and advanced multivariate statistical techniques for an unsupervised learning approach. Different combinations of techniques are immaudtin 发表于 2025-3-22 15:39:53
Condition Monitoring of Rolling Stock Supported by Artificial Intelligence Technique,echnologies. The main goal of this research is to provide an unsupervised method for identifying railway wheel flats. The two-step procedure based on the automatic damage identification algorithm evaluates the acceleration on rails during the passage of traffic loads. The first step consists of assemaudtin 发表于 2025-3-22 18:26:59
Drive-By Methodologies for Smart Condition Monitoring of Railway Infrastructure,ransportation infrastructure in the last four decades. Sensor-based condition monitoring identifies damage sensitive features from measurements. While the vast majority of condition monitoring research relies on dedicated and stationary sensor positioning, there is an emerging paradigm with so calle激怒 发表于 2025-3-22 23:10:06
Digital Twins for Condition Assessment of Railway Infrastructures,se structures are subjected to deterioration processes; therefore, their structural performance tends to decay over time, contributing to risk events occurrence, such as component failure. Thus, the integrity management and condition assessment of railway infrastructure is crucial, requiring preventPalatial 发表于 2025-3-23 04:45:44
Augmented Asset Management in Railways,ment in resources, technology, and expertise. Augmented asset management is an emerging concept that leverages advanced technologies such as AI and digitalisation to optimise asset utilisation, reduce costs, improve operational efficiency, enhance and safety. Asset management in railways is increasi不透明 发表于 2025-3-23 06:58:34
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