Research Topic · Peer-Reviewed

Deep Learning Algorithms

Deep learning algorithms are a type of artificial intelligence that uses artificial neural networks to analyze large sets of data and identify patterns to make predictions. These algorithms are widely used for various applications, such as image recognition, natural language processing, and autonomous driving. Deep …

Curated from this journal's research 📚 3 peer-reviewed articles cited Cited 18× across the literature 🔖 ISSN 2768-0207

Overview

Deep learning algorithms are a type of artificial intelligence that uses artificial neural networks to analyze large sets of data and identify patterns to make predictions. These algorithms are widely used for various applications, such as image recognition, natural language processing, and autonomous driving. Deep learning algorithms have allowed for faster and more accurate predictions by learning from and adapting to new data, resulting in improved performance. The use of deep learning algorithms has enabled much higher levels of accuracy and speed for various tasks in a wide range of industries, from finance and healthcare to robotics and autonomous driving.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 3 articles above have been cited 18 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Nov 2026.

A sample of recent works citing this journal's research on Deep Learning Algorithms, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Journal of Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Dr. Kedir Abegaz · Ethiopia Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.