受强制性开放获取政策约束的文章 - Mattias O'Nils了解详情
无法在其他位置公开访问的文章：3 篇
Towards Practically Applicable Transfer Learning Methods for Remaining Useful Life Prediction of Bearings
A Lundström, M O'Nils, FZ Qureshi
2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), 1-8, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model
Y Nie, M O'Nils, O Gatner, M Imran, I Shallari
2024 IEEE International Instrumentation and Measurement Technology …, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media
F Zakaryapour Sayyad, I Shallari, SJ Mousavirad, M O’Nils
International Conference on Advances in Computing and Data Sciences, 211-224, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
可在其他位置公开访问的文章：9 篇
A temporal boosted YOLO-based model for birds detection around wind farms
H Alqaysi, I Fedorov, FZ Qureshi, M O’Nils
Journal of imaging 7 (11), 227, 2021
强制性开放获取政策： Knowledge Foundation, Sweden
Design space exploration for an IoT node: Trade-offs in processing and communication
I Shallari, IS Leal, S Krug, A Jantsch, M O’Nils
IEEE Access 9, 65078-65090, 2021
强制性开放获取政策： Knowledge Foundation, Sweden
Improving deep learning based anomaly detection on multivariate time series through separated anomaly scoring
A Lundström, M O’nils, FZ Qureshi, A Jantsch
IEEE Access 10, 108194-108204, 2022
强制性开放获取政策： Knowledge Foundation, Sweden
Factory-based vibration data for bearing-fault detection
A Lundström, M O’Nils
Data 8 (7), 115, 2023
强制性开放获取政策： Knowledge Foundation, Sweden
Impact of input data on intelligence partitioning decisions for IoT smart camera nodes
IS Leal, I Shallari, S Krug, A Jantsch, M O’Nils
Electronics 10 (16), 1898, 2021
强制性开放获取政策： Knowledge Foundation, Sweden
An interactive threshold-setting procedure for improved multivariate anomaly detection in time series
A Lundström, M O’Nils, FZ Qureshi
IEEE Access, 2023
强制性开放获取政策： Knowledge Foundation, Sweden
Contextual knowledge-informed deep domain generalization for bearing fault diagnosis
A Lundström, M O’Nils, FZ Qureshi
IEEE Access, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
A Comprehensive Review On Deep Learning-Based Data Fusion
M Hussain, M O’Nils, J Lundgren, SJ Mousavirad
IEEE Access, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime Predictions
S Krug, T Hutschenreuther, H Toepfer, M O’Nils
Electronics 13 (23), 4578, 2024
强制性开放获取政策： Knowledge Foundation, Sweden
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