Special Issues
Table of Content

Emerging Machine Learning Methods and Applications

Submission Deadline: 30 April 2025 View: 209 Submit to Special Issue

Guest Editors

Prof. Daniel-Ioan Curiac

Email: daniel.curiac@aut.upt.ro

Affiliation: Department of Automation and Applied Informatics, Politehnica University Timisoara, 300223, Timisoara , Romania

Homepage:

Research Interests: artificial intelligence, wireless sensor and actuator networks, information security


Summary

Over the past decade, there has been substantial progress in machine learning (ML) technology and its application, which has captured the interest of researchers across different domains. The goal of this Special Issue is to share the latest research findings and advancements in machine learning, emphasizing their practical use in various fields such as science, engineering, medicine, industry, robotics, and others. We welcome researchers and professionals to submit their high-quality research or review papers on these subjects to this Special Issue. Through this, a comprehensive overview of the challenges and opportunities ML has brought to these important sectors is provided.


We welcome original research or review papers and case studies that address the following topics (but not limited to):

machine learning

unsupervised learning

supervised learning

reinforcement learning

deep learning

transformers

regression

classification

transfer learning

natural language processing

speech processing

image processing and machine vision


Keywords

machine learning, deep learning, AI

Share Link