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 …

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 …

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 …

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 …

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 …

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 …

The impact of persian news on stock returns through text mining techniques

Z Azizi, N Abdolvand, H Ghalibaf Asl… - … Journal of Management …, 2021 - ijms.ut.ac.ir
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 …

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 …

[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 …

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 …