Ole Meyer
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View article: Water transport and corrosion under insulation: Experimental investigations of drying in mineral wool
Water transport and corrosion under insulation: Experimental investigations of drying in mineral wool Open
Corrosion under insulation (CUI) is a major risk factor for the material integrity of insulated equipment that is encountered i.a. in the chemical process industries. Undetected CUI has been the root cause for major accidents, including lo…
View article: Numerical Investigation of Reheat Hydrogen Flames in the Sequential-Combustion Stage of a Heavy-Duty Gas Turbine
Numerical Investigation of Reheat Hydrogen Flames in the Sequential-Combustion Stage of a Heavy-Duty Gas Turbine Open
Recent theoretical studies and experimental evidence suggest that turbulent burning-rate augmentation, flame instabilities and NOx emissions, notoriously characterizing fuel-lean hydrogen premixed combustion, are significantly mitigated at…
View article: Reliability Assessment of Wireless Sensor Networks by Strain-Based Region Analysis for Redundancy Estimation in Measurements on the Example of an Aircraft Wing Box
Reliability Assessment of Wireless Sensor Networks by Strain-Based Region Analysis for Redundancy Estimation in Measurements on the Example of an Aircraft Wing Box Open
Wireless sensor networks (WSNs) are attracting increasing research interest due to their ability to monitor large areas independently. Their reliability is a crucial issue, as it is influenced by hardware, data, and energy-related factors …
View article: Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks
Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks Open
This study describes an AI model by leveraging advanced Convolutional Neural Networks (CNNs) to recognize affective states in real-world sports settings, particularly tennis matches. In contrast to prior studies that primarily utilized dat…
View article: Reliability Assessment of Wireless Sensor Networks by strain-based Region Analysis for Redundancy Estimation in Measurements on the Example of an Aircraft Wing Box
Reliability Assessment of Wireless Sensor Networks by strain-based Region Analysis for Redundancy Estimation in Measurements on the Example of an Aircraft Wing Box Open
Wireless Sensor networks (WSNs) are gaining more and more research interest due to their ability to monitor large areas more or less independent. However, their reliability is an important issue, since their system reliability is influence…
View article: Automatized Detection of Periodontal Bone Loss on Periapical Radiographs by Vision Transformer Networks
Automatized Detection of Periodontal Bone Loss on Periapical Radiographs by Vision Transformer Networks Open
Several artificial intelligence-based models have been presented for the detection of periodontal bone loss (PBL), mostly using convolutional neural networks, which are the state of the art in deep learning. Given the emerging breakthrough…
View article: Detection of Periodontal Bone Loss on Periapical Radiographs—A Diagnostic Study Using Different Convolutional Neural Networks
Detection of Periodontal Bone Loss on Periapical Radiographs—A Diagnostic Study Using Different Convolutional Neural Networks Open
Interest in machine learning models and convolutional neural networks (CNNs) for diagnostic purposes is steadily increasing in dentistry. Here, CNNs can potentially help in the classification of periodontal bone loss (PBL). In this study, …
View article: Numerical modelling of fin side heat transfer and pressure loss for compact heat recovery steam generators
Numerical modelling of fin side heat transfer and pressure loss for compact heat recovery steam generators Open
An optimization tool for offshore bottoming cycle and heat recovery steam generator (HRSG) design has previously been developed. The tool is based on empirical correlations to obtain hydraulic and thermal quantities for the HRSG. However, …
View article: Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data Open
Wind energy is an important source of renewable and sustainable energy and therefore an elementary component of any future energy supply. However, the operation of large wind farms places high demands on reliability and is often impacted b…
View article: Automatized Detection and Categorization of Fissure Sealants from Intraoral Digital Photographs Using Artificial Intelligence
Automatized Detection and Categorization of Fissure Sealants from Intraoral Digital Photographs Using Artificial Intelligence Open
The aim of the present study was to investigate the diagnostic performance of a trained convolutional neural network (CNN) for detecting and categorizing fissure sealants from intraoral photographs using the expert standard as reference. A…
View article: Caries Detection on Intraoral Images Using Artificial Intelligence
Caries Detection on Intraoral Images Using Artificial Intelligence Open
Although visual examination (VE) is the preferred method for caries detection, the analysis of intraoral digital photographs in machine-readable form can be considered equivalent to VE. While photographic images are rarely used in clinical…
View article: Plate fin-and-tube heat exchanger computational fluid dynamics model
Plate fin-and-tube heat exchanger computational fluid dynamics model Open
Insight into thermal–hydraulic correlations of plate fin-and-tube heat exchangers is of great interest in many industrial applications. Numerical simulations allow to efficiently and accurately obtain air-side heat transfer and pressure dr…
View article: Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies Open
For strategic problems, intelligent systems based on Deep Reinforcement Learning (DRL) have demonstrated an impressive ability to learn advanced solutions that can go far beyond human capabilities, especially when dealing with complex scen…
View article: A multiscale porous–resolved methodology for efficient simulation of heat and fluid transport in complex geometries, with application to electric power transformers
A multiscale porous–resolved methodology for efficient simulation of heat and fluid transport in complex geometries, with application to electric power transformers Open
The numerical simulation of fluid flow through a complex geometry with heat transfer is of strong interest for many applications, such as oil-filled power transformers. A fundamental challenge here is that high resolution is necessary to r…
View article: A multiscale porous--resolved methodology for efficient simulation of heat and fluid transport in complex geometries, with application to electric power transformers
A multiscale porous--resolved methodology for efficient simulation of heat and fluid transport in complex geometries, with application to electric power transformers Open
The numerical simulation of fluid flow through a complex geometry with heat transfer is of strong interest for many applications, such as oil-filled power transformers. A fundamental challenge here is that high resolution is necessary to r…
View article: Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future
Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future Open
Current concept, development, and testing applications in production concerning Cyber-Physical Systems (CPS), Industry 4.0 (I40), and Internet of Things (IoT) are mainly addressing fully autonomous systems, fostered by an increase in avail…
View article: Isotope effect on gyro-fluid edge turbulence and zonal flows
Isotope effect on gyro-fluid edge turbulence and zonal flows Open
The role of ion polarisation and finite Larmor radius on the isotope effect on turbulent tokamak edge transport and flows is investigated by means of local electromagnetic multi-species gyro-fluid computations. Transport is found to be red…