Benchmarking Hybrid Deep Learning Architectures for Predictive Maintenance in Industry 4.0
cs.LG
Submitted: 2026-09-18
Updated: 2026-09-18
Comments: Published in: 2026 IEEE International Conference on AI and Data Analytics (ICAD)
DOI: 10.1109/ICAD69378.2026.11608648
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks