PeerJ Computer Science Conference Collection with MLIS 2022

by | Aug 3, 2022 | Announcement, Call for Papers, Collections, Community, Computer Science, Conferences, Special Issue

PeerJ is delighted to announce that we are now open for submissions to the PeerJ Computer Science Machine Learning and Intelligent Systems (MLIS 2022) Conference Collection in collaboration with the 4th International Conference on Machine Learning and Intelligent Systems.

 

 

The 4th International Conference on Machine Learning and Intelligent Systems.

The International Conference on Machine Learning and Intelligent Systems (MLIS) is convened annually to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems, and to strengthen links within the scientific community in related fields.

The field of machine learning and intelligent systems has made tremendous progress over the past decade. Improved deep learning algorithms coupled with increased computational capacity has catalysed the rapid growth of the field. These emerging technologies, such as deep learning, cloud computing, Internet of Things and pervasive computing, are assisting in designing better smart and artificial intelligent systems for a variety of domains including healthcare, agriculture, banking and many more. As the significance of these technologies gains more recognition over time, they continue to give promising results to not only solve current problems but also identify the possible problems of the future.

 

Machine Learning and Intelligent Systems (MLIS 2022) PeerJ Computer Science Conference Collection

This PeerJ Computer Science Conference Collection, in association with MLIS 2022, will serve as a means of sharing state-of-the-art results and critical evaluations of researchers across the diverse fields of Machine Learning and Intelligent Systems. We hope to encourage a rapid and wide dissemination of knowledge that will bring broad academic interest and social impact.

All presenters and attendees of MLIS 2022 (virtual or in person) are invited to submit full research articles relevant to the scope of the conference series to this Conference Collection. When submitting, please include “Submitted to the MLIS 2022 Collection – PJCS-COLL-MLIS”  in the Confidential Note to Staff field of the submission form. Manuscripts will undergo peer review at PeerJ Computer Science, and accepted articles will be subject to publication charges

The deadline for submissions is 5th May 2023.

The topics of this Conference Collection include, but are not limited to:

  • Robots
  • Data Mining
  • Human Health
  • Deep Learning
  • Expert Systems
  • Fuzzy Systems
  • Image Processing
  • Neural Networks
  • Video Processing
  • Pattern Recognition
  • Artificial Intelligence
  • Computational Intelligence
  • Natural Language Processing
  • Intelligent Information System
  • Human Computer Interaction

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