VDI Verlag eLibrary

AgEng LAND.TECHNIK 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2406 2022

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A. Barbaresi, M. Ceccarelli, M. Bovo, M. Agrusti, E. Santolini, D. Torreggiani, P. Tassinari, G. Menichetti Machine Learning Models for Predictions of Thermal Energy Need in Farm Buildings S. 477-484

„… features’ importance and explainability, helping academics and professionals to define novel design …” „… run using EnergyPlus. VDI-Berichte Nr. 2406, 2022478Table 1: List of input features. In the first …” „… exhibits the variable unit. The fifth column reports feature selected as input Name Abbr U/S Unit Input …”

doi.org/10.51202/9783181024065

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ELIV-MarketPlace 2018

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2338 2018

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C. Mitrohin Artificial Intelligence: Today´s and tomorrow´s opportunities, how do we adjust to it? S. 3-4

„… of our product portfolio, by both adding new features to existing products or by enabling new …” „… , learning maps and predictive approaches. The usage of data mining and AI for process optimization purposes …”

doi.org/10.51202/9783181023389

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Spritzgießen 2019

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 4354 2019

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A. Schulze Struchtrup, M. Janßen, R. Schiffers Steigerung von Produkt- und Prozessqualität beim Spritzgießen durch künstliche Intelligenz S. 27-36

„… : The elements of statistical learning. Data mining, inference, and prediction. Second edition …” „… . [10] Ding, C., Peng, H.: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. 2 …” „… , 2003. [11] Guyon, I., Elisseef, A.: An Introduction to variable and feature selection. Journal of …”

doi.org/10.51202/9783182443544

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Drivetrain Solutions for Commercial Vehicles

VDI Wissensform GmbH (ed.)

Series: VDI-Berichte

Volume 2421 2023

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C. Schmidt Fault analysis of truck drivelines using big data methods S. 149-160

„… Auswertung von Feature Importance, partial dependency plots und SHAP-Werten zu analysieren. Anhand einiger …” „… root-cause hypotheses and a machine learning approach to tackle multicausal problems by evaluation of feature …” „… curves 5. Anomaly tracking via dashboards In the next step, the data mining process is initiated. Data …”

G. Wiche Voith Central Drive Concept for HD Trucks S. 181-190

„… special-purpose vehicles for construction, mining, and agricultural operation in the off-highway market are …” „… into the drive unit. In addition to the electrical components, the VEDS HD+ also features mechanical …” „… EVO 330 and EVO 390 motors have a maximum speed of 10,000 rpm. These design features in combination …”

doi.org/10.51202/9783181024218

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SIMVEC 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2407 2022

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J. Lee, S. Rehfeldt, H. Klein, D. Bäder, A. Eisenträger, J. Kuhnert, I. Michel Two-phase water evaporation MESHFREE CFD method for wet automotive component dry-out time prediction S. 33-44

„… refinement feature is de-veloped in this study. Since adaptive refinement of a point cloud is nearly …” „… Fluids (VoF), the advantage of the meshfree approach is maximized with this newly developed feature …” „… refinement feature, which makes the solver more flexible for arbi-trary geometries with optimized runtimes …”

A. Tuschkan, C. Simon, A. Palmisano, M. Živadinović, C. Aras, W. Ratzke, A. Belnarsch Batterieanalyse in der Elektromobilität – Ein Einblick in Methoden zur Batterieanalyse und Alterungsprädiktion bei elektrischen Fahrzeugflotten durch Kombination von konventionellen Ansätzen und masch... S. 103-118

„… beispielsweise LSTM (Long Short-Term Memory) - basierte Architekturen, um sequentielle In-put Features zu nutzen …” „… Mining in Time Series Databases, 1–21 [3 …”

doi.org/10.51202/9783181024072

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Automation 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2399 2022

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C. Neunzig, D. Möllensiep, S. Fahle, B. Kuhlenkötter, M. Möller, J. Schulz Approach to Data Pre-processing for Predictive Quality of Hydraulic Test Results in a Dynamic Manufacturing Environment S. 425-438

„… features or covariates ? of a training set ? are passed to a model [2]. The model generates VDI-Berichte …” „… Nr. 2399, 2022 425an output in response to the feature vector passed. The learning system modifies …” „… its feature-target relationship ? with respect to the differences in ? ? ? between the generated and …”

C. Song, J. Schlake, S. Emmrich Materialverfolgungsbasierter Softsensor für die Überwachung von Treibhausgasemissionen in der Prozessindustrie S. 161-174

„… features as in discrete manufacturing. Fig. 2: Material blob in a mining system 4. State Update and …” „… uncertainty quantification (UQ) and State Update mechanism [5]. The method is illustrated using the mining …” „… sensor. The frame-work can be adopted so online estimations are feasible. 6. A Case Study We use mining …”

G. Just, V. Khaydarov, L. Urbas, B. Klöpper, F. D. Bähner Hidden Markov Models und Active Learning zur automatisierten Kennzeichnung von Batchphasen in der Prozessindustrie S. 615-624

„… Feature-Function f(x) zustande (Sutton, 2012). Das er-möglicht, wie z.B. in (Krähenbühl & Koltun, 2011), die …” „… , J. I., & Muller, P.-A. (2019). Deep learning for time series classification: a review. Data mining …”

D. Vranješ, P. Topalis, O. Niggemann Chancen und Herausforderungen für Künstliche Intelligenz in kleinen und mittelständischen Unternehmen S. 399-412

„… Interesse, da diese das manuelle Feature Engineering für komplexe multivariate Zeitreihen ersetzten und ohne …” „… : Towards a standard process model for data mining. In Proceedings of the 4th international conference on …” „… the practical applications of knowledge discovery and data mining, volume 1. Springer-Verlag London …”

H. S. Steude, D. Vranješ, J. L. Augustin, O. Niggemann, M. Lange-Hegermann, D. Höche Verwendung Neuronaler Netze zur automatisierten Analyse und Modellierung elasto-plastischer Materialeigenschaften von metallischen Zugproben S. 505-520

„… , “Editorial: Machine Learning and Data Mining in Materials Science,” Frontiers in Materials, vol. 7, p. 51 …” „… critical state of dynamic recovery, part I: formulation and basic features for ratchetting behavior …”

doi.org/10.51202/9783181023990

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Fahrzeugsicherheit 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2387 2022

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V. Protschky, O. Jung Outlier-Crash Detection at the BMW Accident Research Program S. 157-172

„… Detection In the following, we present possible features which proved to be suitable to describe our …” „… the simple equation: atan | || | It was found that the features vehicle basic type, position, and …” „… drive type have no significant impact on model accuracy, which is why those features will not be …”

doi.org/10.51202/9783181023877

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wt Werkstattstechnik online

Browse Volumes: wt Werkstattstechnik online

wt Volume 112 (2022) Issue 11-12 ISSN Online: 1436-4980

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David Böttger, Benjamin Strass, Bernd Wolter, Alpan Güray, Daniel Gauder, Volker Schulze, Gisela Lanza In-situ Materialanalyse mit Mikromagnetik und ML-Verfahren/In-situ material analysis with micromagnetics and ML methods – Detection of quality-critical features on AISI4140 with micromagnetic NDT S. 797-801

„… features on AISI4140 with micromagnetic NDTThe detection capability of the in-situ high-speed 3MA …” „… inspection technique with respect to quality-critical features on AISI4140 using maschine learning …” „… können.Aufgrund des zunehmenden Einsatzes von Sensoren, Prüf -daten und Data-Mining-Methoden werden Algorithmen …”

doi.org/10.37544/1436-4980-2022-11-12

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ELIV 2021

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2384 2021

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M. Gresser, M. Mende, M. D. Rabe, B. Baker, A. Unger Graph-based Vehicle Diagnostics using Machine Learning S. 131-142

„… shifts of features from target values. They can be differentiated into analytical symptoms such as DTCs …” „… edges can have type- specific attributes ? ? and ? ? , where ? ? is the feature matrix for nodes and …” „… ? ? is for edges. These feature matrices need yet to be filled with data. In this context, the …”

G. Castignani, F. Chandelle, S. Jafarnejad, I. Scherer Evaluation of a driver’s compatibility with electric, plug-in hybrid, and hybrid vehicles based on mobility patterns analytics S. 489-500

„… analyzed and a number of features per trip are calculated, at a later stage we also calculate some …” „… features over the aggregate of trips as well as using the information provided by the driver, such as …” „… BEV and HEV vehicles are different, we consider different sets of features to assess the …”

doi.org/10.51202/9783181023846

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wt Werkstattstechnik online

Browse Volumes: wt Werkstattstechnik online

wt Volume 107 (2017) Issue 09 ISSN Online: 1436-4980

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A. Kuhnle, M. Kuttler, M. Dümpelmann, G. Prof. Lanza Intelligente Produktionsplanung und -steuerung/Intelligent production planning and control - Learning optimal decisions S. 625-629

„… Analytics als Analytics 2.0 zu bezeichnen [8]. Data Mining wird heute meist als Bestandteil des …” „… industriellen Anwendung derartiger Data-Mining- beziehungsweise Big-Data-Analyse-Methoden ist der Cross-Industry …” „… Standard Process for Data- Mining (CRISP-DM). Der iterative Ansatz besteht aus sechs Phasen die in Bild 3 …”

doi.org/10.37544/1436-4980-2017-09

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Automation 2021

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2392 2021

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D. Díez Álvarez, U. Berger AIQIIA: General AI Quality Inspector for Industrial Applications S. 491-504

„… orientation or other kind of perturbations [10]. Highlevel feature extraction techniques such as deformable …” „… to recognize and map the features. The definition of the target is not easy and the parametrization …” „… among different fields [16]. It has the ability to learn hidden features that we, as humans, are not …”

R. Kremser, N. Grabowski, D. Tutsch, R. Düssel, A. Mulder Comparison of different spike detection methods in Hall-Héroult cells S. 763-XVIII

„… different features as input. For this reason labels are matched with the timestamps of the bath temperature …” „… approach to build a prediction model is to use only one feature and a threshold. This kind of model is …” „… [18]. In this paper the knowledge base is introduced via the definition of seven features by TRIMET …”

doi.org/10.51202/9783181023921

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Visual Motion Processing

Thomas Guthier

Series: Mess-, Steuerungs- und Regelungstechnik

Volume 1251 2016

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Bibliography S. 143-158

„… statistics of spacetime ordered features for human action recognition. In Advanced Video and Signal-Based …” „… . Neural computation, 24(4):827–866. [13] Casile, A. and Giese, M. A. (2005). Critical features for the …” „… features. In Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint …”

doi.org/10.51202/9783186251084

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Deep Homography Estimation for Micro-Topographic Measurement Data

Stefan Siemens

Series: Berichte aus dem imr

Volume 01/2024 2024

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Bibliography S. 147-170

„… , 1361-6501. doi: 10.1088/1361-6501/ac9544.[7] K. Divya Lakshmi and V. Vaithiyanathan, “Study of Feature based …” „… 22/79315.[8] J. Alven, A. Norlen, O. Enqvist, and F. Kahl, “Überatlas: Robust Speed-Upof Feature …” „… , “An overview of deep learningmethods for image registration with focus on feature …”

doi.org/10.51202/9783959009225

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Automation 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2419 2023

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R. Hana, I. Ünal, T. Kleinert Scaling up anomaly detection in measurement data for process plants S. 915-926

„… select suitable features and configuration parameters. The assumption here is that data is readily …” „… . Graph data field device anomaly detection Semantic network Plant partitioning feature selection Training …” „… . Feature Selection At this stage, the engineer can choose the field devices of interest that need to be …”

N. Braunisch, U. Schmidt, M. Wollschlaeger Brownfieldintegration für die Anwendung von künstlicher Intelligenz mittels digitaler Zwillinge – Modellbildung und Methoden der Industrie 4.0 für KI-Anwendungsfälle S. 153-166

„… :  Anomalieerkennung, Isolation Forest, Feature‐ u. Feature …” „… Eigenschaftsvorhersage hybrider Leichtbaustrukturen KI-Technologie: Data Mining, Machine-Learning-Algorithmen Ausstattung …” „… Möglichkeit zur Erstellung von Digitalen Zwillingen durch Anwendung von Methoden des Data Mining und …”

C. Song, K. Kornmeier, M. Gärtler Unsupervised Learning of Batch Production Steps based on Toeplitz Inverse Covariance S. 791-804

„… tests,” in 2002 IEEE International Conference on Data Mining, 2002. Proceedings., Maebashi City, Japan …” „… Discovery and Data Mining, Halifax NS Canada: ACM, Aug. 2017, pp. 215–223. doi: 10.1145/3097983.3098060. [10 …” „… ] J. Gui, Z. Qin, D. Jia, and J. Zhu, “An approach based on statistical features for extract-ing human …”

S. Heppner, I. Garmaev, T. Miny, T. Kleinert Konzept des Abflachens von Verwaltungsschalen als Methode der Dimensionsreduktion für die Datenanalyse S. 985-998

„… . Knowledge Discovery and Data Mining. [15] Guyon, I., Elisseeff, A., & Kaelbling, L. P. (Ed.). (2003). An …” „… introduction to variable and feature selection. Journal of Machine Learning Research, 3(7-8), 1157–1182 …”

doi.org/10.51202/9783181024195

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ELIV 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2423 2023

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B. Budaker Modular High Power DC/DC Platform for FC-Applications S. 711-XVIII

„… for known “off-highway applications”, such as “mining”, for example. 2) Define the parameters to …” „… wide range of 20% to 100% of maximum load. Features like dynamic current control with the possibility …” „… converter, a new generation will also have to include new features like galvanic isolation, VDI-Berichte Nr …”

H. Ghezali, L. Trautmann, S. Witke, S. Herbold A Review of using Artificial Intelligence in Large Projects for Requirements Classification S. 573-588

„… models. We use a standard text mining pipeline for this purpose [5]: 1. Parsing, i.e., cleaning the …” „… teams. 2. Finding patterns and relationships between features in the cleaned data. In our case, this …”

doi.org/10.51202/9783181024232

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