Copertina

A WT-ResNet based fault diagnosis model for the urban rail train transmission system

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cheng, Zuyu, Zhao, Zhengcai, Wang, Yixiao, Guo, Wentao, Wang, Yufei, Gao, Xiang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PPA‐ResNet: An Airport Bird Recognition Model Based on Improved ResNet
di: Jianguo Kong, et al.
Pubblicazione: (2024)

MFI-ResNet: Efficient ResNet Architecture Optimization via MeanFlow Compression and Selective Incubation
di: Sun, Nuolin, et al.
Pubblicazione: (2025)

Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
di: Su, Weihang, et al.
Pubblicazione: (2023)

Progressive Feedforward Collapse of ResNet Training
di: Wang, Sicong, et al.
Pubblicazione: (2024)

GMM-ResNet2: Ensemble of Group ResNet Networks for Synthetic Speech Detection
di: Lei, Zhenchun, et al.
Pubblicazione: (2024)

SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection
di: Shan, Yimeng, et al.
Pubblicazione: (2023)

A variable‐speed‐condition fault diagnosis method for crankshaft bearing in the RV reducer with WSO‐VMD and ResNet‐SWIN
di: Guangqi Qiu, et al.
Pubblicazione: (2024)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
di: Gao, Jingtong, et al.
Pubblicazione: (2024)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
di: Tang, Yubao, et al.
Pubblicazione: (2024)

Recurrent Preference Memory for Efficient Long-Sequence Generative Recommendation
di: Chen, Yixiao, et al.
Pubblicazione: (2026)

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
di: Gao, Chen, et al.
Pubblicazione: (2025)

Multi-LLM Token Filtering and Routing for Sequential Recommendation
di: Chen, Wuhan, et al.
Pubblicazione: (2026)

ResNet‐Transformer deep learning model‐aided detection of dens evaginatus
di: Siwei Wang, et al.
Pubblicazione: (2024)

PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction
di: Gao, Yuanbo, et al.
Pubblicazione: (2024)

Read the Docs Before Rewriting: Equip Rewriter with Domain Knowledge via Continual Pre-training
di: Wang, Qi, et al.
Pubblicazione: (2025)

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
di: Han, Ruidong, et al.
Pubblicazione: (2024)

PEPT: Expert Finding Meets Personalized Pre-training
di: Peng, Qiyao, et al.
Pubblicazione: (2023)

Green-Red Watermarking for Recommender Systems
di: Zhou, Lei, et al.
Pubblicazione: (2026)

Process-Supervised LLM Recommenders via Flow-guided Tuning
di: Gao, Chongming, et al.
Pubblicazione: (2025)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
di: Wang, Zhefan, et al.
Pubblicazione: (2024)

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport
di: Barboni, Raphaël, et al.
Pubblicazione: (2024)

Understanding the training of infinitely deep and wide ResNets with conditional optimal transport
di: Raphaël Barboni, et al.
Pubblicazione: (2025)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
di: Li, Xiaopeng, et al.
Pubblicazione: (2024)

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
di: Cheng, Jiawei, et al.
Pubblicazione: (2026)

OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
di: Zhang, Zhaoqi, et al.
Pubblicazione: (2025)

Uncertainty-Calibrated Recommendations for Low-Active Users
di: Zou, Bob Junyi, et al.
Pubblicazione: (2026)

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
di: Wang, Chengbing, et al.
Pubblicazione: (2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
di: Wang, Yuhao, et al.
Pubblicazione: (2024)

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
di: Zhang, An, et al.
Pubblicazione: (2024)

ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
di: Chaffin, Antoine, et al.
Pubblicazione: (2026)

Tetrahedron-Net for Medical Image Registration
di: Xiang, Jinhai, et al.
Pubblicazione: (2025)

K-order Ranking Preference Optimization for Large Language Models
di: Cai, Shihao, et al.
Pubblicazione: (2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
di: Ye, Yufei, et al.
Pubblicazione: (2025)

ID-centric Pre-training for Recommendation
di: Wu, Yiqing, et al.
Pubblicazione: (2024)

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models
di: Shi, Wentao, et al.
Pubblicazione: (2025)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)
di: Li, Yuchen, et al.
Pubblicazione: (2024)

A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
di: Wang, Junting, et al.
Pubblicazione: (2024)

Uplift Modeling for Target User Attacks on Recommender Systems
di: Wang, Wenjie, et al.
Pubblicazione: (2024)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
di: Wang, Hao, et al.
Pubblicazione: (2025)

ResNets Are Deeper Than You Think
di: Mehmeti-Göpel, Christian H. X. Ali, et al.
Pubblicazione: (2025)