Research Topic · Peer-Reviewed

Machine Learning

Machine learning is a branch of artificial intelligence in which computer systems learn patterns from data and use them to make predictions or decisions without being explicitly programmed for each task. Algorithms are trained on examples, then generalize to new inputs, supporting applications such as classification…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 51× across the literature 🔖 ISSN 2692-5915

Overview

Machine learning is a branch of artificial intelligence in which computer systems learn patterns from data and use them to make predictions or decisions without being explicitly programmed for each task. Algorithms are trained on examples, then generalize to new inputs, supporting applications such as classification, prediction, image recognition, and pattern detection. Techniques range from decision trees and regression to deep neural networks, and machine learning is now applied across science, medicine, agriculture, and many other domains to extract insight from large and complex datasets. Reported research relevant to this topic illustrates the breadth of machine-learning applications. Work has applied automated detection methods to identify grassweed in wheat cropping systems, used dynamic network analysis of functional connectivity to study dementia, built a decision-tree ensemble for diabetes prediction from heart-study data, applied seasonal ARIMA time-series modeling to pandemic prediction, and used deep learning with transfer learning to detect corn leaf diseases. These studies demonstrate how machine-learning methods are deployed for prediction and pattern recognition across diverse fields. This page gathers open-access, peer-reviewed research relevant to machine learning and data-driven analysis.

Research published in this journal

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

How this research is being cited

The 12 articles above have been cited 51 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 Machine Learning, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Journal of Advanced Forensic Sciences (ISSN 2692-5915).

Journal editorial board
Yavuz Hekimoglu · Ankara Ozgur Bulut · Germany Abubakr M. Idris · Saudi Arabia

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