Imagen de Portada

Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kilickaya, Sertac, Celebioglu, Cansu, Eren, Levent, Askar, Murat
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Vision and Pattern Recognition Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
por: Kilickaya, Sertac, et al.
Publicado: (2024)

Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
por: Korkmaz, Cansu, et al.
Publicado: (2024)

Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
por: Kilickaya, Sertac, et al.
Publicado: (2025)

Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback
por: Korkmaz, Cansu, et al.
Publicado: (2024)

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
por: Korkmaz, Cansu, et al.
Publicado: (2024)

Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
por: Lai, Songjiang, et al.
Publicado: (2024)

Padé Neurons for Efficient Neural Models
por: Keleş, Onur, et al.
Publicado: (2026)

A design of Convolutional Neural Network model for the Diagnosis of the COVID-19
por: Song, Xinyuan
Publicado: (2023)

FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
por: Zhang, Zeren, et al.
Publicado: (2023)

AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
por: Korkmaz, Cansu, et al.
Publicado: (2025)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
por: K., Keshav Kumar, et al.
Publicado: (2023)

Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)
por: Hamad, Qusay Shihab, et al.
Publicado: (2024)

FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
por: Li, Zhengdong, et al.
Publicado: (2024)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
por: Yan, Hao, et al.
Publicado: (2024)

Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
por: Ji, Ronglei, et al.
Publicado: (2022)

DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
por: Yilmaz, M. Akin, et al.
Publicado: (2025)

Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
por: Zhang, Yang, et al.
Publicado: (2024)

Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis
por: Tang, Yifei, et al.
Publicado: (2025)

Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
por: Li, Junhui, et al.
Publicado: (2024)

deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
por: Fisch, Lukas, et al.
Publicado: (2024)

GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences
por: Song, Pengfei, et al.
Publicado: (2026)

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
por: Ma, Xinke, et al.
Publicado: (2025)

Viewport-based Neural 360° Image Compression
por: Liao, Jingwei, et al.
Publicado: (2026)

Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
por: Zhao, Zhicheng, et al.
Publicado: (2024)

Adaptive Convolutional Neural Network for Image Super-resolution
por: Wu, Ziang, et al.
Publicado: (2024)

Approximately Invertible Neural Network for Learned Image Compression
por: Gao, Yanbo, et al.
Publicado: (2024)

Edit2Restore:Few-Shot Image Restoration via Parameter-Efficient Adaptation of Pre-trained Editing Models
por: Yılmaz, M. Akın, et al.
Publicado: (2026)

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
por: Huang, Jiaxing, et al.
Publicado: (2025)

Intelligent Diagnosis Using Dual-Branch Attention Network for Rare Thyroid Carcinoma Recognition with Ultrasound Imaging
por: Li, Peiqi, et al.
Publicado: (2025)

Evaluating Machine Learning-based Skin Cancer Diagnosis
por: Jain, Tanish
Publicado: (2024)

Bridging Machine Learning and Clinical Diagnosis: An Explainable Biomarker for ß-Amyloid PET Imaging
por: Barbero, Janos, et al.
Publicado: (2023)

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI
por: Yuan, Yuan, et al.
Publicado: (2022)

Image Deraining via Self-supervised Reinforcement Learning
por: Liao, He-Hao, et al.
Publicado: (2024)

Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising
por: Liang, Hao, et al.
Publicado: (2024)

Training Neural Networks on RAW and HDR Images for Restoration Tasks
por: Ke, Andrew Yanzhe, et al.
Publicado: (2023)

Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
por: Wisotzky, Eric L., et al.
Publicado: (2023)

FG-DFPN: Flow Guided Deformable Frame Prediction Network
por: Yılmaz, M. Akın, et al.
Publicado: (2025)

Coordinate-based Neural Network for Fourier Phase Retrieval
por: Li, Tingyou, et al.
Publicado: (2023)

Multi-level Attention-guided Graph Neural Network for Image Restoration
por: Jiang, Jiatao, et al.
Publicado: (2025)

Physics-Informed Neural Network Based Digital Image Correlation Method
por: Li, Boda, et al.
Publicado: (2024)