Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
World Model for Battery Degradation Prediction Under Non-Stationary Aging
World Model for Battery Degradation Prediction Under Non-Stationary Aging
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Lim, Kai Chin
,
SEE, KHAY WAI
Format:
Recurso digital
Language:
English
Published:
Zenodo
2026
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
World Model for Battery Degradation Prediction Under Non-Stationary Aging
by: Lim, Kai Chin, et al.
Published: (2026)
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels
by: Daei, Sajad, et al.
Published: (2024)
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
by: Li, Tingkai, et al.
Published: (2023)
CONVERGING | Project Overview
by: Netcompany SEE & EUI (Luxembourg), et al.
Published: (2026)
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
by: Alaa Selim, et al.
Published: (2026)
