Copertina

A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lei, Yuzhu, Yu, Guanding
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Machine Learning Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GPINND: A deep-learning-based state of health estimation for Lithium-ion battery
di: Lei, Yuzhu, et al.
Pubblicazione: (2026)

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
di: Prasad, Dinanath, et al.
Pubblicazione: (2024)

Remaining useful life prediction of rolling bearings based on refined composite multi-scale attention entropy and dispersion entropy
di: Long, Yunchong, et al.
Pubblicazione: (2024)

Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
di: Atmaja, Bagus Tris, et al.
Pubblicazione: (2022)

Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve
di: Zhou, Kate Qi, et al.
Pubblicazione: (2024)

Long-term usage of the off-grid photovoltaic system with lithium-ion battery-based energy storage system on high mountains: A case study in Payiun Lodge on Mt. Jade in Taiwan
di: Chung, Hsien-Ching
Pubblicazione: (2024)

Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning
di: Sanami, Saba, et al.
Pubblicazione: (2025)

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
di: Cohen, Joseph, et al.
Pubblicazione: (2023)

Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs
di: Dwivedi, Anmol, et al.
Pubblicazione: (2025)

Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods
di: Li, Shilei, et al.
Pubblicazione: (2023)

Short-term power load forecasting method based on CNN-SAEDN-Res
di: Cui, Yang, et al.
Pubblicazione: (2023)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
di: Reverdi, Justin, et al.
Pubblicazione: (2024)

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
di: Fu, Yang, et al.
Pubblicazione: (2026)

Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
di: Barrett, Travis, et al.
Pubblicazione: (2025)

Concentration inequalities for semidefinite least squares based on data
di: Fabiani, Filippo, et al.
Pubblicazione: (2025)

A system identification approach to clustering vector autoregressive time series
di: Yue, Zuogong, et al.
Pubblicazione: (2025)

A Novel Combined Data-Driven Approach for Electricity Theft Detection
di: Zheng, Kedi, et al.
Pubblicazione: (2024)

Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
di: Ke, Zemian, et al.
Pubblicazione: (2024)

A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset
di: Ali, Usman
Pubblicazione: (2025)

Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco
di: Hsain, Achraf, et al.
Pubblicazione: (2026)

A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
di: wu, Yue
Pubblicazione: (2025)

From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation
di: Li, Tiancheng, et al.
Pubblicazione: (2025)

VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture
di: Kasap, Deniz, et al.
Pubblicazione: (2025)

Integrated Communication and Control for Energy-Efficient UAV Swarms: A Multi-Agent Reinforcement Learning Approach
di: Sun, Tianjiao, et al.
Pubblicazione: (2025)

A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines
di: Vazquez-Sanchez, Ernesto, et al.
Pubblicazione: (2024)

Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
di: Theiler, Raffael, et al.
Pubblicazione: (2025)

On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
di: Pournaderi, Mehrdad, et al.
Pubblicazione: (2022)

Catching Contamination Before Generation: Spectral Kill Switches for Agents
di: Noël, Valentin
Pubblicazione: (2025)

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
di: van Gorp, Hans, et al.
Pubblicazione: (2025)

Learning Genetic Circuit Modules with Neural Networks: Full Version
di: Wang, Jichi, et al.
Pubblicazione: (2025)

From Target Tracking to Targeting Track -- Part III: Stochastic Process Modeling and Online Learning
di: Li, Tiancheng, et al.
Pubblicazione: (2025)

Do Spatial Descriptors Improve Multi-DoF Finger Movement Decoding from HD sEMG?
di: Molinari, Ricardo Gonçalves, et al.
Pubblicazione: (2025)

Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application
di: Wang, Xiucheng, et al.
Pubblicazione: (2025)

Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
di: Feys, Thomas, et al.
Pubblicazione: (2025)

Generative MIMO Beam Map Construction for Location Recovery and Beam Tracking
di: Chen, Wangqian, et al.
Pubblicazione: (2025)

Derandomizing Simultaneous Confidence Regions for Band-Limited Functions by Improved Norm Bounds and Majority-Voting Schemes
di: Csáji, Balázs Csanád, et al.
Pubblicazione: (2025)

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
di: Qian, Jiachen, et al.
Pubblicazione: (2025)

Nonconvex Linear System Identification with Minimal State Representation
di: Tadipatri, Uday Kiran Reddy, et al.
Pubblicazione: (2025)

RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications
di: Zhang, Qiming, et al.
Pubblicazione: (2025)

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
di: Sadough, Amirhossein, et al.
Pubblicazione: (2025)