posted by user: agarcia || 2449 views || tracked by 3 users: [display]

ENC 2022 : Track: Scientific Computation Applied to Geospatial Problems, Encuentro Nacional de Computación 2022 (ENC 2022)

FacebookTwitterLinkedInGoogle

Link: https://centrogeoqro.github.io/enc2022/index_eng.html
 
When Aug 24, 2022 - Aug 26, 2022
Where Xalapa, Veracruz, Mexico (virtual)
Submission Deadline Apr 30, 2022
Notification Due Jun 22, 2022
Final Version Due Jun 30, 2022
Categories    scientific computing   geospatial   machine learning   remote sensing
 

Call For Papers

Encuentro Nacional de Computación 2022 (ENC 2022)
Track: Scientific Computation Applied to Geospatial Problems
August 24-26th, 2022
Xalapa, Veracruz, Mexico (virtual)

Link to the general Call for Papers ENC 2022:
http://computo.fismat.umich.mx/enc2022/
Link to this CfP:
https://centrogeoqro.github.io/enc2022/index_eng.html

The “Sociedad Mexicana de Ciencia de la Computación A.C.” and the Technical Committee, invite students, postgraduates, professors, researchers, and professionals to submit scientific papers to the “Scientific Computation Applied to Geospatial Problems” track of the “2022 Encuentro Nacional de Computación” (ENC 2022) conference. The manuscripts will be reviewed and selected by the Technical Committee and the best works will be presented in a virtual session.

ENC 2022 is one the most important conference organized by Sociedad Mexicana de Ciencia de Computación A.C., Universidad Veracruzana (host), Universidad Michoacana de San Nicolás de Hidalgo (UMSNH), Tecnológico Nacional de México (TecNM) campus Culiacán, and campus CENIDET. It will be held in virtual format, on August 24-26th, 2022, Mexico.

All the papers PRESENTED at the conference will be submitted to IEEEXplore for worldwide exposure if they comply with its rules.

=================================
Topics
=================================

Submissions to the track are encouraged to be related to the topics of interest in the following areas:

- Computational modeling and spatio-temporal prediction applied to social and geospatial problems.
- Algorithms and frameworks for solving problems related to mobility and logistics.
- Scientific computing for environment and geographical data processing.
- Algorithms and distributed processing methods for geospatial Big Data.
- Analysis of geospatial complex networks.
- Geolocation and geoparsing.
- Machine learning applied to problems with social relevance and geospatial focus.
- Remote sensing and geographic information systems.
- Applications for solutions to socio-territorial problems.

=================================
Important dates
=================================

- April 30th, 2022: Final full paper submission.
- Jun 22th, 2022: Acceptance Notification.
- Jun 30th, 2022: Final paper submission.
- August 24-26th, 2022: Conference.

=================================
Paper submission
=================================

All the articles must satisfy the requirements and quality described in the General Call for Papers: http://computo.fismat.umich.mx/enc2022/

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. The length is limited to 8 pages using the IEEE templates found at https://www.ieee.org/conferences/publishing/templates.html.

Authors should note that changes to the author list after the submission deadline are not allowed without permission from the Track Chairs. The number of authors is limited to 7.

At least one author of each accepted paper is required to register for, attend, and present the work at the conference or the paper will not appear in the conference proceedings.

Submissions: https://cmt3.research.microsoft.com/ENC2022

Further information: http://smcc-mexico.mx (enc2022@smcc-mexico.mx)

=================================
Recommendations
=================================

Presentation:

- The paper’s motivation and the potential impact of the addressed problem are discussed.
- The paper’s original contributions are clearly stated.
- The paper’s claims are properly scoped and supported.
- The paper clearly describes what was done and what was not.
- The choices made in each step of the research are justified (the why’s).
- The results are presented effectively in an appropriate format.
- Good discussion accompanies the results.

Experimentation (if applicable):

- The experimental design and its scale are appropriate.
- In comparative studies, appropriate baselines are used.
- The experimental results are reliable and generalizable.
- The evaluation methods employed are in line with the research questions.
- Statistical analysis is performed and reported appropriately.
- Sufficient details (with data and code where appropriate) are provided to help other researchers assess and reproduce the experiments.

=================================
Track contact
=================================

- Rodrigo López Farías, Ph.D.: rlopez@centrogeo.edu.mx
- Alberto García Robledo, Ph.D.: agarcia@centrogeo.edu.mx
- Sergio Ivvan Valdez Peña, Ph.D.: svaldez@centrogeo.edu.mx
- Jorge Paredes Tavares, Ph.D.: jparedes@centrogeo.edu.mx
- Hector Solano Lamphar, Ph.D.: hsolano@centrogeo.edu.mx
- Daniela Moctezuma, Ph.D.: dmoctezuma@centrogeo.edu.mx
- Angelina Espejel, Ph.D.: aespejelt@conacyt.mx

Related Resources

SYNASC 2024   26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ML-DE@ECAI 2024   Machine Learning Meets Differential Equations: From Theory to Applications
AAAI 2025   The 39th Annual AAAI Conference on Artificial Intelligence
NCTA 2024   16th International Conference on Neural Computation Theory and Applications
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
ISAAC 2024   35th International Symposium on Algorithms and Computation
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
SI AIMLDE 2024   SPECIAL ISSUE on Applied Artificial intelligence, Machine Learning, and Data Engineering
KDD 2025   31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining