# Studies in big data

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/studies-in-big-data/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 2197-6503 |
| ISSNs | 2197-6503,2197-6511 |
| OpenAlex ID | https://openalex.org/S4210219266 |
| Publisher | Springer International Publishing |

## Journal papers

- [Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges](https://scholariq.org/papers/machine-learning-and-big-data-analytics-paradigms-analysis-applications-and/)
- [A Machine Learning-Based Model for Predicting Temperature Under the Effects of Climate Change](https://scholariq.org/papers/a-machine-learning-based-model-for-predicting-temperature-under-the-effects-of/)
- [Metaverse for Brain Computer Interface: Towards New and Improved Applications](https://scholariq.org/papers/metaverse-for-brain-computer-interface-towards-new-and-improved-applications/)
- [Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestinal Diseases](https://scholariq.org/papers/convolutional-neural-network-with-batch-normalization-for-classification-of/)
- [Exploration of Cough Recognition Technologies Grounded on Sensors and Artificial Intelligence](https://scholariq.org/papers/exploration-of-cough-recognition-technologies-grounded-on-sensors-and-artificial/)

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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.