MSD Journal Information

MSD Trends in Computer Networks and Information Technology is an open-access, peer-reviewed scholarly journal that publishes multi-disciplinary research and particularly provides easy access to high-quality manuscripts in all related aspects of food, nutrition, and technology. The Journal focuses on all technical and practical aspects of computer science and networks. The goal of this journal is to bring together researchers and partitioners from academia and industry to focus on advances in computer science and networks. Analysis of computer science and networks suggests the renowned author research and write pre-eminent issues related to computer science and networks, Such as • The Journal of Theoretical and Computational Science implies the standards of experimental and computer science in solving scientific problems. 

The discoveries like molecular modeling, simulations, mechanics, computer-aided, molecular design, drug protocol, and chemical informatics. • The journals cover the theory of parallel processing and distributed computing. 

The impact on image recognition and neural network and facial recognition.

• Computer Science has online payments e-business applications and digital signal processing.

• The impacts of machine learning and artificial intelligence are the main impact factors on computer science.

Reasons to Publish:

• Global readership

• MSD Publications journal boasts an expert Editorial Board that helps with quality decision-making, choosing referees, and reviewing manuscripts playing a key role in providing quality knowledge to the world.
• Fast publication: Processing in 12 to 21 working days.
• Promoting published articles on social media.
• Copyright retainment is provided to authors licensing the article under a Creative Commons license.
• Accepted articles will be published online as PDF versions, HTML, video files, Infographics, Audio files, and curated web content.
• MSD Publications journals follow the highest standard of double-blinded peer review, thereby subjecting the articles to the quality peer-review process.
• Content is published without any space constraints.

All published articles are assigned to the Digital Object Identifier (DOI) – Crossref. All published articles are permanently archived and available on the MSD Publications website in HTML and PDF formats.