# Concurrences of deep learning arise in analysis of bigdata

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/concurrences-of-deep-learning-arise-in-analysis-of-bigdata/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vishali Sivalenka,Srinivas Aluvala,Yerram Sneha,Khaja Mannan,Sana Farheen,Kommabatla Mahender |
| Citations | 31 |
| DOI | 10.1063/5.0081988 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4285151090 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Yerram Sneha](https://scholariq.org/researchers/yerram-sneha/)

## 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/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Currency Recognition and Detection](https://scholariq.org/topics/currency-recognition-and-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.