The sixth international symposium on Ubiquitous Networking (UNet’21) highlights new trends and findings in hot topics related to ubiquitous computing/networking. This event intends to bring together researchers and practitioners to present and discuss their recent progresses in all major areas of ubiquitous networking. The UNet’21 program will host special talks addressed by distinguished keynote speakers and highly reputed visionary experts, and will feature technical papers, tutorials, special sessions, and workshops.
Papers delivered at UNet 2021 will be published by Springer and indexed by Springer-Link. They will also be submitted to SCOPUS, ISI, DBLP, Google Scholar, and other leading indexing services. Papers of particular merit will be recommended for a possible special issue in international journals (discussions are underway with several international journals for publishing the accepted papers). A PDF version of the call for papers can be found here. The conference invites two types of submissions: Full Technical Papers (up to 12 pages), and Short Technical Papers (up to 8 pages). A detailed description of papers submission procedure is available via this link. UNet 2021 will features thematic content, but not limited to, across the following tracks:
Papers should contain original material, which is not currently under review in any other conference or journal and has not been previously published. All submissions should be written in English with a maximum paper length of 12 printed pages standard LNCS format including figures, without incurring additional page charges (maximum 2 additional pages, with over-length page fee).
All submitted papers must conform to the LNCS Formatting Guidelines. Authors are invited to use either the LNCS’s Latex template or MS Word Template available via this Link:
Only PDF files will be accepted for the review process and all submissions must be done through EDAS online submission system: https://edas.info/N27342. You are invited to submit papers in all areas related to ubiquitous networks and pervasive systems. Submit your proposal now!
Accepted and presented papers will be published in the conference proceedings and the Springer-Link Digital Library. They will also be indexed by leading Abstracting and Indexing (A&I) databases. They will mainly be indexed by
Papers of particular merit will be recommended for a possible special issue in an international journal. There will also be best papers awards.
Step1: Paper formatting
Step 2: Copyright form
Step3: Submitting the necessary files via EDAS
Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference or journal at the same time (double submission). These matters are taken very seriously and the Springer publisher may take action against any author who engages in either practice.
If you have any questions about camera ready paper submissions or the program, please contact the Technical Program Chairs at firstname.lastname@example.org.
Complex systems are seen everywhere: Internet, brain systems, transportation networks, social interactions, natural images etc. These systems can be modeled as complex networks where nodes represent individuals, agents or pixels, and links illustrate the relations between nodes. Recently, machine learning techniques have witnessed a huge interest thanks to their capacity to solve complex systems problems. Medical imaging, text recognition, expression recognition and social network analysis are examples of applications where machine learning permits to deal with the large amount and the complexity of real-world data in order to make predictions then decisions. The MLCN special session aims to bring together researchers to discuss recent advances and collect novel ideas on how machine learning algorithms and complex networks are applied to real life complex systems, from computer vision to social network analysis. Topics of interest include, but are not limited to:
The paper format and review process for the MLCN special session are the same as for UNet regular papers.
Edas Submission link: https://edas.info/newPaper.php?c=27342&track=106261.