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Sebastian Bader 0002
Person information
- affiliation: Mid Sweden University, Department of Electronics Design, Sundsvall, Sweden
Other persons with the same name
- Sebastian Bader 0001
— University of Rostock, Department of Computer Science, Germany (and 1 more)
- Sebastian Bader 0003 — University of Ulm, Germany
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2020 – today
- 2025
- [j15]Yuxuan Zhang
On-Device Fault Diagnosis With Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - [c34]Yuxuan Zhang
Survey of Quantization Techniques for On-Device Vision-based Crack Detection. I2MTC 2025: 1-6 - [c33]Luciano Sebastian Martínez Rau, Yuxuan Zhang
An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations. I2MTC 2025: 1-6 - [c32]Wei Li, Xiaochun Wu, Xiaoxi Hu, Yuxuan Zhang
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines. SAS 2025: 1-6 - [c31]Fernando Pérez, Alejandro Redondo-Ayala
Co-designing a Variable Reluctance Energy Harvester and Power Management System for Smart Bearing Applications. SAS 2025: 1-6 - [c30]Quynh Nguyen Phuong Vu, Luciano Sebastian Martínez Rau, Yuxuan Zhang
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks. SAS 2025: 1-6 - [c29]Xiaoran Wang, Hongyu Li, Zenghua Liu, Jianing Zhang, Yuxuan Zhang
Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials. SAS 2025: 1-6 - [c28]Yuxuan Zhang
On-Device Crack Segmentation for Edge Structural Health Monitoring. SAS 2025: 1-6 - [i9]Yuxuan Zhang, Luciano S. Martínez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann, Sebastian Bader:
Survey of Quantization Techniques for On-Device Vision-based Crack Detection. CoRR abs/2502.02269 (2025) - [i8]Quynh Nguyen Phuong Vu, Luciano S. Martínez Rau, Yuxuan Zhang, Nho-Duc Tran, Bengt Oelmann, Michele Magno, Sebastian Bader:
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks. CoRR abs/2505.02469 (2025) - [i7]Yuxuan Zhang, Ye Xu, Luciano S. Martínez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann, Sebastian Bader:
On-Device Crack Segmentation for Edge Structural Health Monitoring. CoRR abs/2505.07915 (2025) - [i6]Luciano S. Martínez Rau, Quynh Nguyen Phuong Vu, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader:
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning. CoRR abs/2505.09304 (2025) - [i5]Wei Li, Xiaochun Wu, Xiaoxi Hu, Yuxuan Zhang, Sebastian Bader, Yuhan Huang:
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines. CoRR abs/2506.06346 (2025) - 2024
- [j14]Sebastian Bader, Bengt Oelmann:
Instrumentation and Measurement Systems: The Challenge of Designing Energy Harvesting Sensor Systems. IEEE Instrum. Meas. Mag. 27(4): 22-28 (2024) - [j13]Luciano S. Martínez Rau
On-Device Feeding Behavior Analysis of Grazing Cattle. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c27]Tra Nguyen Phan, Ye Xu, Bengt Oelmann, Sebastian Bader:
Electromagnetic Vibration Energy Harvester with Replaceable Ortho-planar Springs. IEEE SENSORS 2024: 1-4 - [c26]Uditha Muthumala, Yuxuan Zhang
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis. WF-IoT 2024: 444-449 - [i4]Luciano S. Martínez Rau, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader:
On-device Anomaly Detection in Conveyor Belt Operations. CoRR abs/2411.10729 (2024) - [i3]Uditha Muthumala, Yuxuan Zhang, Luciano Martínez Rau, Sebastian Bader:
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis. CoRR abs/2411.17733 (2024) - 2023
- [j12]Sebastian Bader:
Instrumentation and Measurement Systems. IEEE Instrum. Meas. Mag. 26(7): 28-33 (2023) - [j11]Yuxuan Zhang
Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classification on Embedded Devices. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c25]Kholoud Hamza
Fast Supercapacitor Charging for Electromagnetic Converter Systems by Self Powered Boost Circuit. SSD 2023: 553-558 - [c24]Ye Xu
Self-powered RPM Sensor using a Single-Anchor Variable Reluctance Energy Harvester with Pendulum Effects. ENSsys@SenSys 2023: 72-78 - [c23]Veysi Adin
Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals. I2MTC 2023: 1-6 - [c22]Veysi Adin
Tiny Machine Learning for Real-Time Postural Stability Analysis. SAS 2023: 1-6 - [c21]Luciano S. Martínez Rau
Real-Time Acoustic Monitoring of Foraging Behavior of Grazing Cattle Using Low-Power Embedded Devices. SAS 2023: 1-6 - [c20]Thanh Tran
Denoising Induction Motor Sounds Using an Autoencoder. SAS 2023: 1-6 - 2022
- [c19]Thanh Tran
An artificial neural network-based system for detecting machine failures using a tiny sound dataset: A case study. ISM 2022: 163-168 - [c18]Yuxuan Zhang
A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions. SAS 2022: 1-6 - [c17]Tra Nguyen Phan, Bengt Oelmann, Sebastian Bader:
Towards Automated Design Optimization of Electromagnetic Energy Harvesting Transducers. SenSys 2022: 871-877 - [i2]Thanh Tran
Denoising Induction Motor Sounds Using an Autoencoder. CoRR abs/2208.04462 (2022) - [i1]Thanh Tran
An artificial neural network-based system for detecting machine failures using tiny sound data: A case study. CoRR abs/2209.11527 (2022) - 2021
- [j10]Xinyu Ma
On the Performance of the Two-Diode Model for Photovoltaic Cells Under Indoor Artificial Lighting. IEEE Access 9: 1350-1361 (2021) - [j9]Jesus Javier Lechuga Aranda
Self-Powered Wireless Sensor Using a Pressure Fluctuation Energy Harvester. Sensors 21(4): 1546 (2021) - [j8]Ye Xu
System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters. Sensors 21(18): 6317 (2021) - [j7]Tra Nguyen Phan
Design Optimization and Comparison of Cylindrical Electromagnetic Vibration Energy Harvesters. Sensors 21(23): 7985 (2021) - 2020
- [j6]Sebastian Bader
A Comparison of One- and Two-Diode Model Parameters at Indoor Illumination Levels. IEEE Access 8: 172057-172064 (2020) - [j5]Tra Nguyen Phan
Performance of An Electromagnetic Energy Harvester with Linear and Nonlinear Springs under Real Vibrations. Sensors 20(19): 5456 (2020) - [j4]Sasa Zelenika
Energy Harvesting Technologies for Structural Health Monitoring of Airplane Components - A Review. Sensors 20(22): 6685 (2020) - [j3]Xinyu Ma
Power Estimation for Indoor Light Energy Harvesting Systems. IEEE Trans. Instrum. Meas. 69(10): 7513-7521 (2020) - [c16]Sebastian Bader, Xinyu Ma, Bengt Oelmann:
Distributed Measurement of Light Conditions for Indoor Photovoltaic Applications. IEEE SENSORS 2020: 1-4 - [c15]Xinyu Ma, Sebastian Bader, Bengt Oelmann:
Estimating Harvestable Energy in Time-Varying Indoor Light Conditions. ENSsys@SenSys 2020: 71-76
2010 – 2019
- 2019
- [c14]Ye Xu
Energy-autonomous On-rotor RPM Sensor Using Variable Reluctance Energy Harvesting. IWASI 2019: 175-180 - [c13]Xinyu Ma, Sebastian Bader, Bengt Oelmann:
A Scalable, Data-driven Approach for Power Estimation of Photovoltaic Devices under Indoor Conditions. ENSsys@SenSys 2019: 29-34 - [c12]Silvia Krug
Suitability of Communication Technologies for Harvester-Powered IoT-Nodes. WFCS 2019: 1-8 - 2018
- [j2]Jesus Javier Lechuga Aranda
An Apparatus for the Performance Estimation of Pressure Fluctuation Energy Harvesters. IEEE Trans. Instrum. Meas. 67(11): 2705-2713 (2018) - [c11]Cristina Rusu, Sebastian Bader, Bengt Oelmann, Atila Alvandpour, Peter Enoksson, Tanja Braun, S. Tiedke, R. Dal Molin, G. Férin, P. Torvinen, Jessica Liljeholm:
Challenges for Miniaturised Energy Harvesting Sensor Systems. ICAIT 2018: 214-217 - [c10]Jesus Javier Lechuga Aranda, Sebastian Bader, Bengt Oelmann:
Force Transmission Interfaces for Pressure Fluctuation Energy Harvesters. IECON 2018: 4230-4235 - 2017
- [c9]Jesus Javier Lechuga Aranda, Bengt Oelmann, Sebastian Bader:
Fluid coupling interfaces for hydraulic pressure energy harvesters. AIM 2017: 1556-1562 - [c8]Sebastian Bader, Bengt Oelmann:
A concept for remotely reconfigurable solar energy harvesting testbeds. IEEE SENSORS 2017: 1-3 - 2016
- [c7]Xinyu Ma, Sebastian Bader, Bengt Oelmann:
Solar panel modelling for low illuminance indoor conditions. NORCAS 2016: 1-6 - [c6]Arthur Fabre, Kirk Martinez
Deploying a 6LoWPAN, CoAP, low power, wireless sensor network: Poster Abstract. SenSys 2016: 362-363 - 2014
- [j1]Sebastian Bader, Xinyu Ma, Bengt Oelmann:
On the Modeling of Solar-Powered Wireless Sensor Nodes. J. Sens. Actuator Networks 3(3): 207-223 (2014) - 2013
- [c5]Sebastian Bader, Bengt Oelmann:
Short-term energy storage for wireless sensor networks using solar energy harvesting. ICNSC 2013: 71-76 - [c4]Matthias Kramer, Sebastian Bader, Bengt Oelmann:
Implementing Wireless Sensor Network applications using hierarchical finite state machines. ICNSC 2013: 124-129 - [c3]Sebastian Bader, Bengt Oelmann:
Concealing the complexity of node programming in wireless sensor networks. ISSNIP 2013: 177-182 - 2012
- [c2]Sebastian Bader, Bengt Oelmann, Michael Brünig
Challenges for RF two-way time-of-flight ranging in Wireless Sensor Networks. LCN Workshops 2012: 908-916 - 2010
- [c1]Sebastian Bader, Torsten Schölzel, Bengt Oelmann:
A Method for Dimensioning Micro-Scale Solar Energy Harvesting Systems Based on Energy Level Simulations. EUC 2010: 372-379
Coauthor Index
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last updated on 2025-11-17 00:05 CET by the dblp team
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