:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kang, Tae Yeob, Lee, Haebom, Suh, Sungho
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2304.10207
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns
by: Kang, Tae Yeob, et al.
Published: (2023)

Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis
by: Tu, Xiaotong, et al.
Published: (2025)

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization
by: Geissler, Daniel, et al.
Published: (2024)

Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals
by: Spadini, Tito, et al.
Published: (2024)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
by: Samiullah, Muhammad, et al.
Published: (2024)

BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation
by: Bello, Hymalai, et al.
Published: (2024)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
by: Kim, Minung, et al.
Published: (2025)

Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
by: Yi, Wonjun, et al.
Published: (2025)

A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
by: Zavadski, Denis, et al.
Published: (2025)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis
by: Wang, Ziyan, et al.
Published: (2024)

Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis
by: Mahmoodiyan, Hootan, et al.
Published: (2025)

UniFault: A Fault Diagnosis Foundation Model from Bearing Data
by: Eldele, Emadeldeen, et al.
Published: (2025)

TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines
by: Bello, Hymalai, et al.
Published: (2024)

YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts
by: Wang, Zesen, et al.
Published: (2026)

Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring
by: Lee, Youngjoon, et al.
Published: (2024)

Impacts of Individual Fairness on Group Fairness from the Perspective of Generalized Entropy
by: Jin, Youngmi, et al.
Published: (2022)

The Power of Training: How Different Neural Network Setups Influence the Energy Demand
by: Geißler, Daniel, et al.
Published: (2024)

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
by: Zuo, Si, et al.
Published: (2023)

Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
by: Haresamudram, Harish, et al.
Published: (2024)

Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain
by: Yi, Wonjun, et al.
Published: (2025)

OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models
by: Ray, Lala Shakti Swarup, et al.
Published: (2024)

MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
by: Bello, Hymalai, et al.
Published: (2023)

Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
by: Geissler, Daniel, et al.
Published: (2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
by: Alghtus, Khaled M. A., et al.
Published: (2025)

Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
by: Suh, Sungho, et al.
Published: (2023)

An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals
by: Wang, Zhao, et al.
Published: (2024)

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2025)

Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
by: Zhang, Zhibo, et al.
Published: (2023)

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
by: Weber, Kenan, et al.
Published: (2024)

Neural Factorization-based Bearing Fault Diagnosis
by: Li, Zhenhao, et al.
Published: (2025)

Text2Freq: Learning Series Patterns from Text via Frequency Domain
by: Lo, Ming-Chih, et al.
Published: (2024)

CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
by: Bello, Hymalai, et al.
Published: (2023)

CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition
by: Liu, Mengxi, et al.
Published: (2024)

Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
by: Li, Guangqiang, et al.
Published: (2025)

Interpretable Machine Learning for Kronecker Coefficients
by: Butbaia, Giorgi, et al.
Published: (2025)

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals
by: Dong, Chang, et al.
Published: (2025)