Machine Learning in Tourism: A Brief Overview: Generation of Knowledge from Experience
R Egger - Applied data science in tourism: Interdisciplinary …, 2022 - Springer
In the last few years, a large hype around the topic of Machine Learning (ML) has emerged;
this can be justified thanks to various ML approaches having recently undergone rapid …
this can be justified thanks to various ML approaches having recently undergone rapid …
Comparison of algorithms to quantify the damaged area in CFRP ultrasonic scans
A Hauffe, F Hähnel, K Wolf - Composite Structures, 2020 - Elsevier
CFRP structures can be damaged in different ways during service. Therefore, the effect of a
damage on the structural behaviour has to be considered during the design process. Often …
damage on the structural behaviour has to be considered during the design process. Often …
Application of Machine Learning Techniques to Determine Surface Hardness Based on the Barkhausen Effect
C Krause, B Uysal, M Engler, C Radek… - HTM Journal of Heat …, 2022 - degruyter.com
Ensuring product and part quality impacts manufacturing productivity, efficiency and
profitability. The goal of every manufacturing company is to quickly identify reduced quality …
profitability. The goal of every manufacturing company is to quickly identify reduced quality …
Machine-learning-based approach for parameterizing material flow simulation models
K Vernickel, L Brunner, G Hoellthaler, G Sansivieri… - Procedia CIRP, 2020 - Elsevier
Abstract Discrete Event Simulation (DES) provides a far-reaching set of methods for
planning and improving structures and processes of real factories. However, the use of DES …
planning and improving structures and processes of real factories. However, the use of DES …
Method Development for the Prediction of Melt Quality in the Extrusion Process
D Trienens, V Schöppner, P Krause, T Bäck… - Polymers, 2024 - mdpi.com
Simulation models are used to design extruders in the polymer processing industry. This
eliminates the need for prototypes and reduces development time for extruders and, in …
eliminates the need for prototypes and reduces development time for extruders and, in …
Objekterkennung Unter Nutzung von Machine Learning Für Augmented Reality Anwendungen
H Wortmann - 2024 - reposit.haw-hamburg.de
Diese Arbeit liefert ein Konzept, wie eine Augmented-Reality-Anwendung für iOS
Smartphones und Tablets entwickelt werden kann, die Techniker bei Arbeiten an …
Smartphones und Tablets entwickelt werden kann, die Techniker bei Arbeiten an …
The impact of persian news on stock returns through text mining techniques
The news contains information about the fundamentals of the company and can change the
behavior of the stock market. However, most research in stock market prediction has relied …
behavior of the stock market. However, most research in stock market prediction has relied …
Anomaly detection by comparing photovoltaic systems with machine learning methods
M Benninger, M Hofmann… - NEIS 2020; Conference …, 2020 - ieeexplore.ieee.org
The digital interconnection of several photovoltaic systems enables a comprehensive
monitoring and detection of failures. The concept of this work is based on the similar …
monitoring and detection of failures. The concept of this work is based on the similar …
[HTML][HTML] Bayesian Risk-based Maintenance for High Voltage Assets: A practical approach
H Schnittker, P Werle, B Heling - Cigre Science & Engineering, 2023 - cse.cigre.org
Risk-based maintenance can help utilities overcome the challenges of the energy transition.
However, assessing the risk of the assets is often difficult and needs to take into account the …
However, assessing the risk of the assets is often difficult and needs to take into account the …
Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis
L Koval, MU Akmal, S Asif, SG Mathias… - 2024 IEEE 29th …, 2024 - ieeexplore.ieee.org
This paper introduces a novel methodological approach to transform a traditional model-
centric machine learning pipeline into a morphological box. Utilizing a taxonomy …
centric machine learning pipeline into a morphological box. Utilizing a taxonomy …