Beyond the Horizon: A Comprehensive Study on the Evolution and Application of Machine Learning Techniques in Diverse Fields
Year: 2025
Type: article
Study design: Systematic Review
Abstract: In the past few decades, Machine Learning (ML) has become the most popular area for research. Many business entities have realized that the machine would help in increasing calculation potential. This main contribution is that it provides a systematic literature review, which gives details of machine learning approaches in various fields. Moreover, it provides a taxonomy of machine learning approaches. In this paper, a review of machine learning techniques and approaches has been discussed that are used in various fields such as, Bioinformatics, Intrusion Detection, using the approach “Systematic Literature Review”. In primary search, 7856 papers were retrieved and appraised on the basis of techniques, approaches and methodologies of machine learning used in various fields to solve real world problems. In total 52 papers were selected from primary search results with the help of inclusion exclusion criteria. This systematic literature review explores machine learning techniques used in various fields. Moreover, it also focuses on research gaps, machine learning tools and future recommendations of research areas.
Authors: Rabia Aslam Khan, Hafiz Burhan Ul Haq
Institution: Lahore Garrison University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409720068