# Time Series Analysis of Infected COVID-19 Cases in the Zamboanga Peninsula, Philippines using Long Short-Term Memory Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/time-series-analysis-of-infected-covid-19-cases-in-the-zamboanga-peninsula/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Urbano B. Patayon |
| Citations | 3 |
| DOI | 10.1109/ic2ie53219.2021.9649041 |
| Fields | Computer Science,Mathematics,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4200095090 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Urbano B. Patayon](https://scholariq.org/researchers/urbano-b-patayon/)

## Paper journal

- [2021 4th International Conference of Computer and Informatics Engineering (IC2IE)](https://scholariq.org/journals/2021-4th-international-conference-of-computer-and-informatics-engineering-ic2ie/)

## Paper primary topic

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

## Paper topics

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)

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