Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Pamshetti, Vijay Babu, Zhang, Wei, Tseng, King Jet, Ng, Bor Kiat, Yan, Qingyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
by: Pamshetti, Vijay Babu, et al.
Published: (2025)
by: Pamshetti, Vijay Babu, et al.
Published: (2025)
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024)
by: Zhao, Yunyi, et al.
Published: (2024)
EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
by: Li, Wei, et al.
Published: (2026)
by: Li, Wei, et al.
Published: (2026)
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load
by: Pamshetti, Vijay Babu, et al.
Published: (2024)
by: Pamshetti, Vijay Babu, et al.
Published: (2024)
GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction
by: Sameer, Sara, et al.
Published: (2025)
by: Sameer, Sara, et al.
Published: (2025)
Two-Stage Learned Decomposition for Scalable Routing on Multigraphs
by: Rydin, Filip, et al.
Published: (2026)
by: Rydin, Filip, et al.
Published: (2026)
When Smaller Wins: Dual-Stage Distillation and Pareto-Guided Compression of Liquid Neural Networks for Edge Battery Prognostics
by: Kannan, Dhivya Dharshini, et al.
Published: (2026)
by: Kannan, Dhivya Dharshini, et al.
Published: (2026)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics
by: Piskala, Deepak Babu, et al.
Published: (2025)
by: Piskala, Deepak Babu, et al.
Published: (2025)
Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL
by: Chattopadhyay, Anindita, et al.
Published: (2025)
by: Chattopadhyay, Anindita, et al.
Published: (2025)
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)
by: Goddla, Vikram
Published: (2024)
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
by: Yadav, Sushilkumar, et al.
Published: (2024)
by: Yadav, Sushilkumar, et al.
Published: (2024)
Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
by: Milecki, Leo, et al.
Published: (2026)
by: Milecki, Leo, et al.
Published: (2026)
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines
by: Nilayam, Prashanti, et al.
Published: (2026)
by: Nilayam, Prashanti, et al.
Published: (2026)
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
by: Qi, Miao, et al.
Published: (2024)
by: Qi, Miao, et al.
Published: (2024)
PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
by: Li, Jiaheng, et al.
Published: (2025)
by: Li, Jiaheng, et al.
Published: (2025)
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals
by: Carter, Jonathan F., et al.
Published: (2024)
by: Carter, Jonathan F., et al.
Published: (2024)
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
by: Shah, Sanket, et al.
Published: (2024)
by: Shah, Sanket, et al.
Published: (2024)
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
by: Wang, Chenhan, et al.
Published: (2026)
by: Wang, Chenhan, et al.
Published: (2026)
Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures
by: Cerulli, Giovanni
Published: (2024)
by: Cerulli, Giovanni
Published: (2024)
DynamicLight: Two-Stage Dynamic Traffic Signal Timing
by: Zhang, Liang, et al.
Published: (2022)
by: Zhang, Liang, et al.
Published: (2022)
NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
by: Zhang, Peihong, et al.
Published: (2025)
by: Zhang, Peihong, et al.
Published: (2025)
Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health
by: Shepherd, Paul, et al.
Published: (2026)
by: Shepherd, Paul, et al.
Published: (2026)
Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
by: Xiao, Qingyu, et al.
Published: (2025)
by: Xiao, Qingyu, et al.
Published: (2025)
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
by: Chen, Sirui, et al.
Published: (2023)
by: Chen, Sirui, et al.
Published: (2023)
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)
by: Fu, Yihang, et al.
Published: (2025)
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder
by: Choo, Jungho, et al.
Published: (2026)
by: Choo, Jungho, et al.
Published: (2026)
Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics
by: Chen, J. C.
Published: (2025)
by: Chen, J. C.
Published: (2025)
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods
by: Lin, Wei, et al.
Published: (2024)
by: Lin, Wei, et al.
Published: (2024)
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling
by: Zhao, Yunyi, et al.
Published: (2024)
by: Zhao, Yunyi, et al.
Published: (2024)
Boosting Deductive Reasoning with Step Signals In RLHF
by: Li, Jialian, et al.
Published: (2024)
by: Li, Jialian, et al.
Published: (2024)
BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling
by: Zhou, Songqi, et al.
Published: (2025)
by: Zhou, Songqi, et al.
Published: (2025)
Unsupervised Physics-Informed Operator Learning through Multi-Stage Curriculum Training
by: Marcandelli, Paolo, et al.
Published: (2026)
by: Marcandelli, Paolo, et al.
Published: (2026)
Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
by: Ai, Lejun, et al.
Published: (2025)
by: Ai, Lejun, et al.
Published: (2025)
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
by: Mu, Tongzhou, et al.
Published: (2024)
by: Mu, Tongzhou, et al.
Published: (2024)
DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns
by: Phan, Trung V., et al.
Published: (2026)
by: Phan, Trung V., et al.
Published: (2026)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Similar Items
-
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
by: Pamshetti, Vijay Babu, et al.
Published: (2025) -
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024) -
EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
by: Li, Wei, et al.
Published: (2026) -
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load
by: Pamshetti, Vijay Babu, et al.
Published: (2024) -
GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction
by: Sameer, Sara, et al.
Published: (2025)