# Harnessing CNN and LSTM Models for Enhanced Predictive Maintenance in Industrial IoT Systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/harnessing-cnn-and-lstm-models-for-enhanced-predictive-maintenance-in-industrial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajeev Kumar Bhaskar,Balasubramaniam Kumaraswamy |
| Citations | 1 |
| DOI | 10.1109/autocom64127.2025.10956547 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4409496315 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Balasubramaniam Kumaraswamy](https://scholariq.org/researchers/balasubramaniam-kumaraswamy/)

## Paper primary topic

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

## Paper topics

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Advanced Data Processing Techniques](https://scholariq.org/topics/advanced-data-processing-techniques/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.