Soft Computing and Data Analytics Applications (SCDA) Workshop
Encuentro Nacional de Computación (ENC 2021)
We are pleased to announce the soft computing and data analytics applications (SCDA) workshop. Papers that combine theory and practice are especially welcome. Submissions are solicited, but not limited to, in the following applications:
- Business and Economics
- Control Systems
- Decision Making and Risk Management
- Decision Support
- Power and Energy
- Transport Systems
The Organizing Committee of the 2021 Encuentro Nacional de Computación invites students, researchers, and practitioners worldwide to submit full papers for consideration to be presented at the conference. The technical committee will assign oral presentations to the accepted papers. All the papers PRESENTED at the conference will be submitted to IEEEXplore for worldwide exposure if they comply with its rules.
- May 31th, 2021: Final full paper submission.
- Jun 21st, 2021: Acceptance Notification.
- Jun 29th, 2021: Final paper submission.
Activities: Conferences, Panel, Tutorials, Oral presentations, and Industrial exhibition
The paper title, as well as the abstract, has to be written in English, and the body of the paper either in English or Spanish. We encourage authors to write their papers in English. The length is limited to 8 pages using the IEEE templates found at TBD. The maximum number of authors is limited to seven.
It has to be submitted in PDF format using easychair for the reviewing process.
Submit your work here: https://easychair.org/cfp/ENC2021
Venue: Morelia, Michoacán, México
Regarding the COVID-19 pandemic, to safeguard the health of participants, ENC 2021 will be held in virtual format, on August 9-11th, 2021 in Morelia, Michoacán, México.
Anabel Martínez-Vargas (Universidad Politécnica de Pachuca)
anabel.martinez at upp dot edu dot mx
María de los Ángeles Cosío-León (Universidad Politécnica de Pachuca)
ma.cosio.leon at upp dot edu dot mx
Ángel G. Andrade (Universidad Autónoma de Baja California)
aandrade at uabc dot edu dot mx