Call for Papers – IEEE CBMS 2022

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IEEE CBMS 2022: The 35th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Shenzhen talent Park, Shenzhen, China, July 21 -23 2022

http://2022.cbms-conference.org

Call for Papers – IEEE CBMS 2022

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IEEE CBMS 2022: The 35th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Shenzhen talent Park, Shenzhen, China, July 21 -23 2022

http://2022.cbms-conference.org

IE2022 !!! Deadine extension !!! : Call for short papers | Deadline: January 3rd, 2022

Call for Short Papers !!! Deadine extension !!!

18th International Conference on Intelligent Environments (IE2022),
20-23 June 2022, Biarritz, France

http://ie2022.iutbayonne.univ-pau.fr/

Important Dates:
    Conference paper submission:         3 January 2022
    Communication of results:           15 February 2022
    Camera ready:                       28 March 2022

The 18th International Conference on Intelligent Environments (IE2022)
will be held in Biarritz, France, from June 20th to June 23rd. IE is a
major annual venue in Ambient Intelligence and Intelligent Environments
research. The conference welcomes contributions from academic and
industry institutions from all technically active regions of the planet.

Short Papers provide an opportunity to report on early results, position
statements, and complementary resources created. Accepted submissions
will be included in the conference proceedings and will be presented
during an exclusively dedicated Posters Session of the conference.
Accepted papers will be submitted for inclusion into IEEE Xplore subject
to meeting IEEE Xplore’s scope and quality requirements.

Contributions in the following areas are solicited (but not limited to):
– Advances in theories for the design, implementation, integration, and
evaluation of smart spaces,
– Novel architectures and middleware for the integration of devices,
edges, and clouds
– Software facilities to develop, deploy, monitor, update applications
for smart spaces,
– Interaction techniques using voice, gesture, eyes, etc. in smart spaces,
– Robotic technologies in smart spaces to assist humans or to manage
resources,
– Planning solutions to better use limited resources in smart spaces,
– Machine learning techniques for novel applications, including
federated learning, few-shot learning, etc.
– Solutions to deal with transversal properties including security,
privacy, availability, transparency, or
– explainability in smart spaces,
– Novel applications in smart homes, smart buildings, smart cities,
smart plants, and smart grid

SUBMISSION GUIDELINES:
Short paper submissions must be in PDF format, up to 4 pages in length,
and conform to IE2022 publisher formatting guidelines (as explained in
Instructions for Authors on http://ie2022.iutbayonne.univ-pau.fr/).

Call for Papers – DATA 2022

11th International Conference on Data Science, Technology and Applications

Submission Deadline: March 02, 2022

https://data.scitevents.org

July 11 – 13, 2022

Lisbon, Portugal

The purpose of the International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.

DATA is organized in 5 major tracks:
1 – Business Analytics
2 – Data Science
3 – Data Management and Quality
4 – Big Data
5 – Databases and Data Security

Conference Chair(s)
Slimane Hammoudi, ESEO, ERIS, France
Wil van der Aalst (honorary), RWTH Aachen University, Germany

Program Chair(s)
Alfredo Cuzzocrea, University of Calabria, Italy
Oleg Gusikhin, Ford Motor Company, United States

Proceedings will be submitted for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Microsoft Academic
Engineering Index
Web of Science / Conference Proceedings Citation Index

All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library.

A short list of best papers will be selected and published in a special issue of the Springer Nature Computer Science.

Kind regards,
Marina Carvalho
DATA Secretariat

Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel: +351 265 520 185
Web: https://data.scitevents.org
e-mail: data.secretariat@insticc.org

Special Issue on AI for Sustainability

CALL FOR PAPERS

IEEE Latin America Transactions

Special Issue on AI for Sustainability

https://latamt.ieeer9.org/index.php/transactions/announcement/view/41

We are at the cusp of two massive historic trends intimately intermingled. On the one hand, our technological revolutions have increased our standards of living quality, including a longer lifespan and larger wealth. On the other hand, we are amid sustainability threats, including climate change and loss of biodiversity. The way our generation responds to the latter challenge using our considerable accumulated level of understanding will have a significant impact in generations to come.

Artificial Intelligence (AI) for sustainability has emerged as a powerful tool with substantial groundbreaking advances. It has opened countless avenues to improve the understanding of the underlying problems while supporting effective sound solutions. However, to take full advantage of the available science and technology, we need to increase their visibility to stimulate its widespread adoption. AI refers to the development of machine capabilities such as learning, reasoning, knowledge representation, planning, perception, problem-solving, and pattern recognition.  Due to the potential for broad impact of these capabilities, it is imperative to support sustainability efforts to extend their adoption and promote awareness about their potential. In particular, we call for participation through articles addressing issues along the following lines: a) Applications of AI  tackling climate change,  addressing biodiversity loss, and considering human vulnerability; b) research describing the construction,  implementation, evaluation, and how-to-do capabilities supporting sustainability; and c) making sure AI leaves a small impact as possible on sustainability.

The purpose of this Special Issue is to provide a forum for the researchers and practitioners related to the rapidly developing field of AI for sustainability to share their novel and original research on the topic. Therefore, we encourage the submission of the practitioners’ latest unpublished work on AI for sustainability. Of our particular interest are the developments from research groups in Latin America and elsewhere. The areas of interest include both theory and applications of AI on the following topics (they are not limited to):

  • Wild animal and plants identification and monitoring.
  • Electric systems. Usage forecast, greenhouse gases leaking, models with small datasets
  • Efficient transportation models, smart shipping routing, optimal bike-sharing distribution
  • Buildings and cities. Cooling and heating control, lighting adaptation, vehicular traffic analysis
  • Food waste, cement and ammonia reduction,
  • Farms and forests. Gases, agriculture, pipelines leaking, carbon, deforestation remote sensing
  • Carbon dioxide removal. Identification and monitoring of placement sites.
  • Weather prediction. Improved weather prediction models, long-term and reliable climate monitoring, ocean reflectivity, and warming monitoring.
  • Social impacts. Adaptation, interaction with the environment.
  • Carbon offset pricing, sustainability risk assessment, biodiversity, and climate change impacts.

Call for papers: December 13, 2021

Submissions Deadline: March 21, 2022                                 

Notification of Acceptance: May 23, 2022 

Final Manuscript Due: July 4, 2022                                         

Publication Date: September 2022

 

Submission

 

Authors must submit all original manuscripts electronically through the system at https://latamt.ieeer9.org.

  Original submissions could be written in English, Portuguese or Spanish and must not be currently under consideration for publication in other Journals nor be part of Conference proceedings.

Authors accepted papers or conditionally accepted papers of this issue will be asked to share their code according to the area of the paper. Further information about codeshare options as well as guidelines and submission information  can be found at

https://latamt.ieeer9.org/index.php/transactions/about/submissions

 

Guest Editors

Joaquín Salas,

IPN

México

jsalasr@ipn.mx

Genevieve Patterson

Climate Change AI

USA

genevieve@climatechange.ai

Flavio Vidal

Universidade de Brasília

Brazil

fbvidal@unb.br

 

Guest Editorial Board

  • Adolfo Bauchspiess, University of Brasilia
  • Ana Carolina Lorena, Instituto Tecnológico de Aeronáutica
  • Anamitra Saha, MIT
  • Anesio Leles Ferreira Filho, University of Brasilia
  • Bogdan Raducanu, CVC
  • Bogdan Strimbu, Oregon State University
  • Daniel Mauricio Muñoz Arboleda, University of Brasilia
  • Edgar Roman-Rangel, ITAM
  • Erik Zamora, IPN
  • Flávio Elias Gomes de Deus, University of Brasilia
  • Francisco Martinez, INAOEP
  • Geraldo P. R. Filho, University of Brasilia
  • Hugo Filipe Pinheiro Rodrigues, Universidade de Aveiro
  • Hugo Jair Escalante, INAOEP
  • Jayme Garcia Arnal Barbedo, Embrapa Brazil
  • Jordi Vitria, Universidad de Barcelona
  • Juan Ramon Terven, AiFi
  • Li Weigang, University of Brasilia
  • Luiz Antonio Celiberto Junior, University of ABC
  • Maria João Sousa, U Lisboa, CCAI
  • Mariano Rivera, CIMAT
  • Michael Barbehenn, MIT
  • Moacir Antonelli Ponti, University of São Paulo
  • Paulo Barreto Cachim, Universidade de Aveiro
  • Petia Radeva, Universidad de Barcelona
  • Rafael Timóteo de Sousa Júnior, University of Brasilia
  • Raquel Valente de Pinho Matos, Universidade de Aveiro
  • Roberto Manduchi, University of California
  • Sai Ravela, MIT
  • Sara Beery, Caltech
  • Saul Solorio, INAOEP
  • Silvana Aciar, Universidad Nacional de San Juan
  • Vinicius Ruela Pereira Borges, University of Brasilia
  • Wilfrido Gómez-Flores, Cinvestav

 

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