Prospective authors are invited to submit original technical papers for publication in NetACT 2017. Authors are requested to submit papers of four to six A4 pages (including tables, figures and references) in the standard IEEE double-column format specified in the IEEE Paper Template. It is important to use the correct paper format with right margins and not to use page numbering (page footer must be empty).
Authors are expected to submit manuscripts with original research results that have not been previously published. All paper submissions will be blind peer reviewed and evaluated based on originality, research content, correctness, relevance to the conference, contributions and readability. Accepted papers MUST be presented at the conference by one of the authors, or, if none of the authors are able to attend, by a qualified surrogate. Failure to register for the conference will result in automatic withdrawal of your paper from the program.
Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and IEEE will take action against any author who engages in such malpractices.
All the accepted papers which are registered for NetACT17 will be published in the IEEE conference proceedings with ISBN number (ISBN No:978-1-5090-6590-5) and also submitted for inclusuion in IEEE Xplore ( after final revisions).
To See the IEEE page about NetACT17: Click Here
To see the submission Web page for NetACT 2017 Click Here
Parallel & Distributed Computing
High Performance Computing
Automated Software Engineering
Web Based Software Engineering
Software Project Management
Software Processes and Workflows
Computer Aided Software Engineering
Component Based Software Engineering
Software Quality Assurance
Artificial Intelligence in Software Engineering
Internet and Web Applications
Audio Video Systems
Network and Information Security
Digital Signal Processing
Intellectual Property Protection
Robotics and Automation
Natural Language Processing
Knowledge Acquisition and Expert Systems
Reasoning and Decision Support Systems
Knowledge Data Engineering