Image de couverture de livre

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Yongbin, Peitzsch, Andrew, Kong, Youngsun, Zizza, Jarod, Kang, Dong-hee, Baghestani, Farnoush, Chon, Ki H.
Format:	Preprint
Publié:	2026
Sujets:	Signal Processing Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Autoencoder-Based Denoising of Muscle Artifacts in ECG to Preserve Skin Nerve Activity (SKNA) for Cognitive Stress Detection
par: Baghestani, Farnoush, et autres
Publié: (2025)

Skin Sympathetic Nerve Activity Driver Extraction through Non-Negative Sparse Decomposition
par: Baghestani, Farnoush, et autres
Publié: (2024)

Feasibility of Extracting Skin Nerve Activity from Electrocardiogram Recorded at A Low Sampling Frequency
par: Kong, Youngsun, et autres
Publié: (2025)

ospEDA: Orthogonal Subspace Projection for Electrodermal Activity Decomposition
par: Lee, Yongbin, et autres
Publié: (2026)

Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise
par: Baghestani, Farnoush, et autres
Publié: (2024)

A Novel Approach to Characterize Dynamics of ECG-Derived Skin Nerve Activity via Time-Varying Spectral Analysis
par: Kong, Youngsun, et autres
Publié: (2024)

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture
par: Lee, Yongbin, et autres
Publié: (2025)

An alternative approach to Shnirelman's inequality
par: Zizza, Martina
Publié: (2024)

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions
par: Li, Zuguang, et autres
Publié: (2024)

SLIPT for Underwater IoT: System Modeling and Performance Analysis
par: Shang, Shunyuan, et autres
Publié: (2025)

Comparison of Encryption Algorithms for Wearable Devices in IoT Systems
par: Yang, Haobo
Publié: (2024)

Semantic Communication in Underwater IoT Networks for Meaning-Driven Connectivity
par: Khalil, Ruhul Amin, et autres
Publié: (2026)

Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
par: Singh, Gurpreet, et autres
Publié: (2025)

Label-Augmented Dataset Distillation
par: Kang, Seoungyoon, et autres
Publié: (2024)

Automated Motion Artifact Check for MRI (AutoMAC-MRI): An Interpretable Framework for Motion Artifact Detection and Severity Assessment
par: Jerald, Antony, et autres
Publié: (2025)

Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
par: Mugisha, Stanley, et autres
Publié: (2025)

Federated Learning-Distillation Alternation for Resource-Constrained IoT
par: da Silva, Rafael Valente, et autres
Publié: (2025)

Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights
par: Karkehabadi, Ali, et autres
Publié: (2024)

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology
par: Wu, Dongli, et autres
Publié: (2025)

Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer
par: Melki, Mohamed Afouene, et autres
Publié: (2026)

Existence of spiral strategies for blocking fire spreading
par: Bianchini, Stefano, et autres
Publié: (2025)

Geometric interpretation of the vanishing Lie Bracket for two-dimensional rough vector fields
par: Rebucci, Annalaura, et autres
Publié: (2024)

On incompressible flows in discrete networks and Shnirelman's inequality
par: Schiffer, Stefan, et autres
Publié: (2024)

Lightweight Deep Autoencoder for ECG Denoising with Morphology Preservation and Near Real-Time Hardware Deployment
par: Nejad, Mahdi Pirayesh Shirazi, et autres
Publié: (2025)

Design and Implementation of an IoT-based Respiratory Motion Sensor
par: Baraeinejad, Bardia, et autres
Publié: (2024)

BadgeX: IoT-Enhanced Wearable Analytics Meets LLMs for Collaborative Learning
par: Li, Zaibei, et autres
Publié: (2026)

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
par: Rangwala, Murtaza, et autres
Publié: (2025)

Knowledge Distillation for Feature Extraction in Underwater VSLAM
par: Yang, Jinghe, et autres
Publié: (2023)

Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
par: Benaddi, Hafsa, et autres
Publié: (2025)

IoT
Publié: (2021)

Wearable Sensor-Based IoT XAI Framework for Predicting Freezing of Gait in Parkinsons Disease
par: Paneru, Biplov
Publié: (2025)

A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
par: Wang, Zhiyu, et autres
Publié: (2025)

A Gradient‐Based Approach for Sustainable Data Compression and Edge Processing in Underwater IoT Networks
par: Manikandan Sundaram, et autres
Publié: (2026)

Secrecy Performance Analysis of Integrated RF-UWOC IoT Networks Enabled by UAV and Underwater-RIS
par: Sarawar, Abrar Bin, et autres
Publié: (2024)

Blockchain Based Zero-Knowledge Proof of Location in IoT
par: Wu, Wei, et autres
Publié: (2024)

Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning
par: Ahmad, Tanveer, et autres
Publié: (2024)

Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
par: Zhang, Lintao, et autres
Publié: (2024)

The Mencian theory of royal succession
par: Youngsun Back
Publié: (2024)

Introduction to IoT
par: Ananna, Tajkia Nuri, et autres
Publié: (2023)

Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
par: Ma, Jing, et autres
Publié: (2022)