A task of anomaly detection for a smart satellite Internet of things system
Fuente:
arXiv
Saved in:
| Main Author: | Shao, Zilong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
by: Ruszczak, Bogdan, et al.
Published: (2024)
by: Ruszczak, Bogdan, et al.
Published: (2024)
Multi-task deep-learning for sleep event detection and stage classification
by: Anido-Alonso, Adriana, et al.
Published: (2025)
by: Anido-Alonso, Adriana, et al.
Published: (2025)
Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023)
by: Huang, Zi, et al.
Published: (2023)
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
by: Bench, Ciaran, et al.
Published: (2025)
by: Bench, Ciaran, et al.
Published: (2025)
SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
by: Pollastro, Andrea, et al.
Published: (2024)
by: Pollastro, Andrea, et al.
Published: (2024)
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification
by: Gui, Yiyu, et al.
Published: (2024)
by: Gui, Yiyu, et al.
Published: (2024)
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
by: Malekzadeh, Parvin, et al.
Published: (2023)
by: Malekzadeh, Parvin, et al.
Published: (2023)
DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
by: Shao, Yulin
Published: (2024)
by: Shao, Yulin
Published: (2024)
GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
by: Chen, Yiqiao, et al.
Published: (2025)
by: Chen, Yiqiao, et al.
Published: (2025)
On the analysis of saturated pressure to detect fatigue
by: Faundez-Zanuy, Marcos, et al.
Published: (2024)
by: Faundez-Zanuy, Marcos, et al.
Published: (2024)
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
by: Manjunath, Yoga Suhas Kuruba, et al.
Published: (2024)
by: Manjunath, Yoga Suhas Kuruba, et al.
Published: (2024)
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair
by: Yeh, Chelsea, et al.
Published: (2022)
by: Yeh, Chelsea, et al.
Published: (2022)
Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
On the challenges of detecting MCI using EEG in the wild
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
Spatial features of CO2 for occupancy detection in a naturally ventilated school building
by: Huang, Qirui, et al.
Published: (2024)
by: Huang, Qirui, et al.
Published: (2024)
Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025)
by: Lotte, Pierre, et al.
Published: (2025)
Low-cost modular devices for on-road vehicle detection and characterisation
by: Poza-Lujan, Jose-Luis, et al.
Published: (2024)
by: Poza-Lujan, Jose-Luis, et al.
Published: (2024)
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
by: Shao, Jiawei, et al.
Published: (2020)
by: Shao, Jiawei, et al.
Published: (2020)
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
by: Kueper, Niklas, et al.
Published: (2024)
by: Kueper, Niklas, et al.
Published: (2024)
Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
by: Dutta, Monica, et al.
Published: (2025)
by: Dutta, Monica, et al.
Published: (2025)
Symmetry constrained neural networks for detection and localization of damage in metal plates
by: Amarel, James, et al.
Published: (2024)
by: Amarel, James, et al.
Published: (2024)
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
by: Moutonnet, Nina, et al.
Published: (2024)
by: Moutonnet, Nina, et al.
Published: (2024)
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON
by: Shao, Chen, et al.
Published: (2024)
by: Shao, Chen, et al.
Published: (2024)
Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection
by: Blais, Antoine, et al.
Published: (2025)
by: Blais, Antoine, et al.
Published: (2025)
Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
by: Rouzoumka, Y. A., et al.
Published: (2025)
by: Rouzoumka, Y. A., et al.
Published: (2025)
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
by: Dan, Jonathan, et al.
Published: (2024)
by: Dan, Jonathan, et al.
Published: (2024)
Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
by: Shama, Deeksha M., et al.
Published: (2024)
by: Shama, Deeksha M., et al.
Published: (2024)
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
by: Rani, Jyoti, et al.
Published: (2024)
by: Rani, Jyoti, et al.
Published: (2024)
Solving ill-conditioned polynomial equations using score-based priors with application to multi-target detection
by: Beinhorn, Rafi, et al.
Published: (2025)
by: Beinhorn, Rafi, et al.
Published: (2025)
VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series
by: Haule, Hollan, et al.
Published: (2023)
by: Haule, Hollan, et al.
Published: (2023)
Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding
by: Eslaminia, Ahmadreza, et al.
Published: (2026)
by: Eslaminia, Ahmadreza, et al.
Published: (2026)
ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
by: Son, Do Hai, et al.
Published: (2024)
by: Son, Do Hai, et al.
Published: (2024)
Active noise cancellation on open-ear smart glasses
by: Yuan, Kuang, et al.
Published: (2026)
by: Yuan, Kuang, et al.
Published: (2026)
Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection
by: Trajdos, Pawel, et al.
Published: (2025)
by: Trajdos, Pawel, et al.
Published: (2025)
Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm
by: Shrestha, Rajesh, et al.
Published: (2024)
by: Shrestha, Rajesh, et al.
Published: (2024)
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
by: Zheng, Yijie, et al.
Published: (2024)
by: Zheng, Yijie, et al.
Published: (2024)
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey
by: Shao, Chen, et al.
Published: (2024)
by: Shao, Chen, et al.
Published: (2024)
Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
by: Shao, Wei, et al.
Published: (2025)
by: Shao, Wei, et al.
Published: (2025)
Real-time Fall Prevention system for the Next-generation of Workers
by: Cartocci, Nicholas, et al.
Published: (2025)
by: Cartocci, Nicholas, et al.
Published: (2025)
Physically constrained unfolded multi-dimensional OMP for large MIMO systems
by: Klaimi, Nay, et al.
Published: (2026)
by: Klaimi, Nay, et al.
Published: (2026)
Similar Items
-
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
by: Ruszczak, Bogdan, et al.
Published: (2024) -
Multi-task deep-learning for sleep event detection and stage classification
by: Anido-Alonso, Adriana, et al.
Published: (2025) -
Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023) -
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
by: Bench, Ciaran, et al.
Published: (2025) -
SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
by: Pollastro, Andrea, et al.
Published: (2024)