:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ling, Feng, Lin, Yunfeng, Ma, zaiming
Format:	Recurso digital
Language:
Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.19162246
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MSHT Updates 2024
by: Thorne, R. S., et al.
Published: (2024)

A study of systematic uncertainties within the MSHT PDF Framework
by: Reader, Matthew
Published: (2024)

Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model
by: Wangyang Hu, et al.
Published: (2024)

MSHT Approximate N3LO PDFs: Updates and Consequences for Phenomenology
by: Cridge, T., et al.
Published: (2025)

RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA ‐ ELM Algorithm
by: Meng Xiangdong, et al.
Published: (2025)

A reassessment of the role of high $x$ data on the MSHT global PDF fit
by: Harland-Lang, L. A., et al.
Published: (2025)

Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
by: Wang, Junliang, et al.
Published: (2024)

Fuzzy Particle Filtering Based Approach for Battery RUL Prediction With Uncertainty Reduction Strategies
by: Gwanpil Kim, et al.
Published: (2025)

Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction
by: Chen, Yan, et al.
Published: (2025)

A Multi‐Path Degradation Modeling Framework With Adaptive Fractional Brownian Motion for Robust RUL Prediction in Mechanical Systems
by: Shuai Lv, et al.
Published: (2025)

Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach
by: Harland-Lang, L. A., et al.
Published: (2024)

A Prognostic Framework for Rolling Bearing RUL Prediction Using Dynamic MAD Preprocessing and AFF‐Attention Health Indicator Fusion
by: Zixing Huang, et al.
Published: (2026)

HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction
by: Tran, Khoa, et al.
Published: (2025)

Lithium‐Ion Battery RUL Prediction Based on SHAP Feature Enhancement and Dual‐Channel Residual Attention Network
by: Bo Zheng, et al.
Published: (2026)

RUL forecasting for wind turbine predictive maintenance based on deep learning
by: Shah, Syed Shazaib, et al.
Published: (2024)

Remaining Useful Life (RUL) Control of Controlled Systems Under Degradation
by: Mônica S. Félix, et al.
Published: (2025)

BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction
by: Zhang, Zekai, et al.
Published: (2025)

A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
by: Imbert, Florent, et al.
Published: (2026)

Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)
by: Sherifi, Abedin
Published: (2024)

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
by: Ouyang, Shuyi, et al.
Published: (2024)

Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing
by: Liu, Yuang, et al.
Published: (2024)

Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution
by: Zhu, Jinchen, et al.
Published: (2024)

Bi-cLSTM: Residual-Corrected Bidirectional LSTM for Aero-Engine RUL Estimation
by: Chowdhury, Rafi Hassan, et al.
Published: (2026)

RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials
by: Ly, Sel, et al.
Published: (2025)

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
by: Yue, Ling, et al.
Published: (2024)

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
by: Zhou, Xuan, et al.
Published: (2024)

Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis
by: Cirrincione, Giansalvo
Published: (2026)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
by: Liu, Wenzhuo, et al.
Published: (2024)

A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations
by: Razzaq, Waleed, et al.
Published: (2025)

A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach
by: Harland-Lang, L. A., et al.
Published: (2024)

Remaining Useful Life ( RUL ) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects
by: Arslan Ahmed Amin, et al.
Published: (2026)

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
by: Hua, Pu, et al.
Published: (2024)

Hierarchical Resolution Transformers: A Wavelet-Inspired Architecture for Multi-Scale Language Understanding
by: Sar, Ayan, et al.
Published: (2025)

Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
by: Nagaraj, Sriram, et al.
Published: (2024)

Combining QED and Approximate N${}^3$LO QCD Corrections in a Global PDF Fit: MSHT20qed_an3lo PDFs
by: Cridge, T., et al.
Published: (2023)

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)

MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)

EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
by: Chen, Hao, et al.
Published: (2026)

Hierarchical Recursive Gradient Parameter Identification for Multi‐Input ARX Systems With Partially‐Coupled Information Vectors
by: Feng Ding, et al.
Published: (2025)