Machine Learning and Applications: An International Journal (MLAIJ)
Scope & Topics
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of machine learning.
Topics of interest include but are not limited to, the following
- Learning in knowledge-intensive systems
- Learning Methods and analysis
- Learning Problems
Authors are invited to submit papers for this journal through E-mail firstname.lastname@example.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
|Submission Deadline||:||October 24, 2020|
|Authors Notification||:|| November 24, 2020|
|Final Manuscript due||:||December 02, 2020|
Editor In Chief
Editorial Board Members
- A K Verma, Thapar University, India
- Abdulkadir Ozcan, Karatay University, Turkey
- Arman Sargolzaei, Florida International University, USA
- Arvind Kumar, Amity university Noida, India
- Ashutosh Kumar Dubey, Trinity Institute of Technology & Research, India