# Anomaly Detection in Border Surveillance Using VAE-LSTM Network for Temporal-Spatial Analysis of Sensor Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/anomaly-detection-in-border-surveillance-using-vae-lstm-network-for-temporal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B. Haritha,S. P. Chokkalingam,C. Alamelu,M. Vallikkannu |
| Citations | 0 |
| DOI | 10.1109/icirca65293.2025.11089617 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4412803183 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [C. Alamelu](https://scholariq.org/researchers/c-alamelu/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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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.