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Dear Colleague,

We are delighted to announce the publication of Volume 17, Issue 1 of Multiagent and Grid Systems (MGS). The content of this new issue is included below as well as the most read articles published in Q1 2021. Also, details are included on how to submit your research to the journal.

Looking forward to working with you.

Kind regards,

Editor-in-Chief
Hugo Tianfield
Glasgow Caledonian University, United Kingdom

Most Read MGS Articles in Q1 2021

Listing articles published only in 2020 and 2021 so you can read the most popular recent content

A brief review and challenges of object detection in optical remote sensing imagery (16:3)
Karim, Shahid | Zhang, Ye | Yin, Shoulin | Bibi, Irfana | Brohi, Ali Anwar

A vectorized bimodal distribution based micro differential evolution algorithm (VB-mDE) (16:3)
Chen, Xu | Miao, Xueliang | Tianfield, Hugo

Dependent tasks assignment and data consistency management for grid computing (15:2)
Meddeber, Meriem | Yagoubi, Belabbas

Intelligent health monitoring system modeling based on machine learning and agent technology (16:2)
Elouni, Jihed | Ellouzi, Hamdi | Ltifi, Hela | Ayed, Mounir Ben

A novel approach for choosing dynamic community detection algorithms using PROMETHEE II (15:4)
Arab, Samia Mohand | Taghezout, Noria | Benkaddour, Fatima Zohra

Call for Papers

As a member of our research community, we would like to invite you to contribute your own work for publication in the journal. Multiagent and Grid Systems offers contributing authors many benefits, including:

· First class Editorial Board

· Rigorous peer review and speedy manuscript processing

In the issues to come we’d particularly welcome submissions on the emerging areas such as Responsible Data Science, Security of AI, Security and Privacy of Machine Learning, Federated Learning, Blockchain, and Edge Computing and Edge AI.