Image de couverture de livre

Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Athanasopoulos, Athanasios, Mihalák, Matúš, Pietrasik, Marcin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Machine Learning for Pattern Detection in Printhead Nozzle Logging
par: Prianikov, Nikola, et autres
Publié: (2025)

Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
par: Khan, Salman, et autres
Publié: (2026)

Empirical Capacity Model for Self-Attention Neural Networks
par: Härmä, Aki, et autres
Publié: (2024)

Predicting the Lifespan of Industrial Printheads with Survival Analysis
par: Parii, Dan, et autres
Publié: (2025)

Online Training and Pruning of Deep Reinforcement Learning Networks
par: Guenter, Valentin Frank Ingmar, et autres
Publié: (2025)

xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
par: Faber, Kamil, et autres
Publié: (2025)

An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications
par: Pang, Mei-Chin, et autres
Publié: (2025)

Hierarchical Blockmodelling for Knowledge Graphs
par: Pietrasik, Marcin, et autres
Publié: (2024)

Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning
par: Renault, Manon, et autres
Publié: (2025)

Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation
par: Erbil, Pinar, et autres
Publié: (2026)

DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods
par: Nevin, Rebecca, et autres
Publié: (2024)

The Deep-Match Framework for Event-Related Potential Detection in EEG
par: Zylinski, Marek, et autres
Publié: (2026)

Principled Approximation Methods for Efficient and Scalable Deep Learning
par: Savarese, Pedro
Publié: (2025)

Product Interaction: An Algebraic Formalism for Deep Learning Architectures
par: Dong, Haonan, et autres
Publié: (2026)

What-If Decision Support for Product Line Extension Using Conditional Deep Generative Models
par: Li, Yinxing, et autres
Publié: (2025)

Faster Convergence for Transformer Fine-tuning with Line Search Methods
par: Kenneweg, Philip, et autres
Publié: (2024)

Tailoring Adverse Event Prediction in Type 1 Diabetes with Patient-Specific Deep Learning Models
par: Rigamonti, Giorgia, et autres
Publié: (2026)

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
par: Ahmed, Soyed Tuhin
Publié: (2024)

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
par: Jürgens, Mira, et autres
Publié: (2024)

Deep Learning Detection Method for Large Language Models-Generated Scientific Content
par: Alhijawi, Bushra, et autres
Publié: (2024)

Statistical Context Detection for Deep Lifelong Reinforcement Learning
par: Dick, Jeffery, et autres
Publié: (2024)

Improving Line Search Methods for Large Scale Neural Network Training
par: Kenneweg, Philip, et autres
Publié: (2024)

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
par: Nasvytis, Linas, et autres
Publié: (2024)

Unsupervised Event Outlier Detection in Continuous Time
par: Nath, Somjit, et autres
Publié: (2024)

Understanding Prediction Discrepancies in Machine Learning Classifiers
par: Renard, Xavier, et autres
Publié: (2021)

Deep Learning for Time Series Anomaly Detection: A Survey
par: Darban, Zahra Zamanzadeh, et autres
Publié: (2022)

A Mechanistic Explanatory Strategy for XAI
par: Rabiza, Marcin
Publié: (2024)

Event Fields: Learning Latent Event Structure for Waveform Foundation Models
par: Na, Li, et autres
Publié: (2026)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
par: Peng, Zhao-Han, et autres
Publié: (2026)

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models
par: Kudo, Atsushi
Publié: (2024)

A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning Training
par: Yan, Chengcheng, et autres
Publié: (2025)

EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems
par: Pham, Luan, et autres
Publié: (2026)

A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
par: Ali, Nawazish, et autres
Publié: (2024)

Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America
par: Domingos, Matheus Corrêa, et autres
Publié: (2025)

A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning
par: Zhang, Hongming, et autres
Publié: (2021)

Cuffless Blood Pressure Prediction from Speech Sentences using Deep Learning Methods
par: Kainat
Publié: (2025)

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
par: Zhang, Xiaoyun, et autres
Publié: (2025)

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
par: Lu, Yao, et autres
Publié: (2024)

Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
par: Levina, Kristina, et autres
Publié: (2026)

BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling
par: Zhou, Songqi, et autres
Publié: (2025)