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Lean Data – Anwendungsspezifische Reduktion großer Datenmengen im Produktionsumfeld
Marina Baucks, Marcus Mau, Peter Ruppelt, Alexander Puchta and Jürgen Fleischer Zeitschrift für wirtschaftlichen Fabrikbetrieb 120(s1) 152 (2025) https://doi.org/10.1515/zwf-2024-0148
Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring
Electric vehicle supply equipment monitoring and early fault detection through autoencoders
Maciej Sakwa, Alfredo Nespoli, Silvana Matrone, Sonia Leva, Alice Guerini, Andrea Demartini and Emanuele Ogliari Sustainable Energy, Grids and Networks 40 101497 (2024) https://doi.org/10.1016/j.segan.2024.101497
Vanita Kshirsagar, Digvijay G. Bhosale, Shantanu Gilbile, Anchal Kharade, Harshal Sasane and Pratik Dhembare 704 (2024) https://doi.org/10.1109/ISML60050.2024.11007348
Unsupervised Anomaly Detection Process Using LLE and HDBSCAN by Style-GAN as a Feature Extractor
Taeheon Lee, Yoonseok Kim, Youngjoo Hyun, Jeonghoon Mo and Youngjun Yoo International Journal of Precision Engineering and Manufacturing 25(1) 51 (2024) https://doi.org/10.1007/s12541-023-00908-2
Enhanced Anomaly Detection in Compressor Components Using Deep Learning and an Attribute Updating Model
Anomaly detection and virtual reality visualisation in supercomputers
David Mulero-Pérez, Manuel Benavent-Lledó, Jorge Azorín-López, Diego Marcos-Jorquera and José García-Rodríguez The International Journal of Advanced Manufacturing Technology 133(1-2) 935 (2024) https://doi.org/10.1007/s00170-023-11255-x
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
Pedro Oliveira, M. Salomé Duarte, Paulo Novais, Ana Cristina Bicharra Garcia and Mariza Ferro AI Communications 37(3) 443 (2024) https://doi.org/10.3233/AIC-230064
Robust regression modelling for inflation factor in the Indonesian economy development
A’yunin Sofro, Ika Aprilia Rizka Azzahro, Khusnia Nurul Khikmah, Orasa Nunkaw, N. Suprapto, B.K. Prahani, M. Satriawan, H.P.A. Tjahyaningtijas, M. Abdul Ghofur and S. Andari E3S Web of Conferences 513 01006 (2024) https://doi.org/10.1051/e3sconf/202451301006
Damian Rakus, Maria Ganzha, Marcin Paprzycki and Artur Bicki 14516 250 (2024) https://doi.org/10.1007/978-3-031-58502-9_17
Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Elisson Da Silva Rocha, Monalisa Cristina Moura Dos Santos, Ricardo Lins Mota, Diego Moura Vieira, Ermeson Carneiro De Andrade and Danilo Ricardo Barbosa De Araújo IEEE Access 11 128288 (2023) https://doi.org/10.1109/ACCESS.2023.3333242
Transformer-based contrastive learning framework for image anomaly detection
Decision-making for the anomalies in IIoTs based on 1D convolutional neural networks and Dempster–Shafer theory (DS-1DCNN)
Tuğrul Çavdar, Nader Ebrahimpour, Muhammet Talha Kakız and Faruk Baturalp Günay The Journal of Supercomputing 79(2) 1683 (2023) https://doi.org/10.1007/s11227-022-04739-2
Advances on Mechanics, Design Engineering and Manufacturing IV
Francesco Bianconi, Paolo Conti, Elisabetta Maria Zanetti and Giulia Pascoletti Lecture Notes in Mechanical Engineering, Advances on Mechanics, Design Engineering and Manufacturing IV 793 (2023) https://doi.org/10.1007/978-3-031-15928-2_69
Anomaly Detection of DC Nut Runner Processes in Engine Assembly
International Conference on Advanced Intelligent Systems for Sustainable Development
Oumaima El Hairech and Abdelouahid Lyhyaoui Lecture Notes in Networks and Systems, International Conference on Advanced Intelligent Systems for Sustainable Development 712 296 (2023) https://doi.org/10.1007/978-3-031-35251-5_28
Computational Intelligence, Data Analytics and Applications
Ümit Dilbaz and Mustafa Özgür Cingiz Lecture Notes in Networks and Systems, Computational Intelligence, Data Analytics and Applications 643 370 (2023) https://doi.org/10.1007/978-3-031-27099-4_29
Towards achieving a high degree of situational awareness and multimodal interaction with AR and semantic AI in industrial applications
Data-driven predictive maintenance framework for railway systems
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos and João Gama Intelligent Data Analysis 27(4) 1087 (2023) https://doi.org/10.3233/IDA-226811
Feasibility of Digital Twins to Manage the Operational Risks in the Production of a Ready-Mix Concrete Plant
MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach
Milot Gashi, Heimo Gursch, Hannes Hinterbichler, Stefan Pichler, Stefanie Lindstaedt and Stefan Thalmann Sensors 22(8) 2837 (2022) https://doi.org/10.3390/s22082837
Transfer Learning Auto-Encoder Neural Networks for Anomaly Detection of DDoS Generating IoT Devices
Detecting and Processing Anomalies in a Factory of the Future
Linda Feeken, Esther Kern, Alexander Szanto, Alexander Winnicki, Ching-Yu Kao, Björn Wudka, Matthias Glawe, Elham Mirzaei, Philipp Borchers and Christian Burghardt Applied Sciences 12(16) 8181 (2022) https://doi.org/10.3390/app12168181
Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing