Call for Papers Special Issues
CALL FOR PAPERS
IEEE Latin America Transactions
Special Issue on Embedded Systems
Embedded systems (ES) design is crucial for the development of industry, technology and science; and it is an area which has significantly grown in recent years throughout Latin America, both in academia and in industry. ES refers to electronic equipment with a computing core which, unlike a personal computer, is designed to meet a specific function and is usually optimized to satisfy strict requirements of processing time, reliability, power consumption, size and cost. ES are ubiquitous; from a simple dishwasher, to medical devices and industrial robots, ES also play an important role in the development of the Industry 4.0; therefore, research on ES design plays a central role in the development of Latin American countries and knowledge exchange among scientists becomes of prime importance.
The purpose of this Special Issue is to solicit the latest unpublished work from both academia and industry on embedded systems with special interest in developments from research groups in Latin America. The areas of interest include both theory and applications on the following topics (they are not limited to):
- Embedded software
- Real Time Operating Systems (RTOS)
- Digital Signal Processors (DSPs) for embedded applications
- FPGAs, HDLs and ASIC for embedded systems
- Robotics and Bioengineering applications of embedded systems
- Architecture of microprocessors
- Communications and protocols
- Wireless communications
- Applications of embedded systems to solve specific problems of Latin America
- Implementation and design of embedded systems
Call for papers: May 28, 2019
Submissions Deadline (Extended): September 13, 2019 ( until 23:59 hrs Central Mexico Time)
Notification of Acceptance: October 14th, 2019.
Final Manuscript Due: November 8th, 2019.
Publication Date: December 2019
All original manuscripts must be submitted electronically through the system at https://www.inaoep.mx/~IEEElat Original submissions must not be currently under consideration for publication in other Journals nor be part of Conference proceedings. Author guidelines, submission information and language requirements can be found at https://www.inaoep.mx/~IEEElat/index.php/transactions/about/submissions,
- Pablo I. Fierens, ITBA, Argentina.firstname.lastname@example.org
- Fabian Luis Vargas, PUCRS, Brazil. email@example.com
- Luciana De Micco, UNMDP, Argentina.firstname.lastname@example.org
Guest Editorial Board
- Maximiliano Antonelli, Universidad Nacional de Mar del Plata, Argentina; Instituto de Investigaciones Científicas y Tecnológicas en Electrónica, Argentina.
- Eduardo Augusto Bezerra, Universidade Federal de Santa Catarina, Brazil.
- Letícia Maria Bolzani Pöhls, Pontifícia Universidade Católica do Rio Grande do Sul, Brazi
- Ricardo Cayssials, Universidad Nacional de San Juan, Argentina
- María Liz Crespo, Abdus Salam International Centre for Theoretical Physics, Italy.
- Julio D. Dondo, Universidad Nacional de San Luis, Argentina.
- Juliano D’Ornelas Benfica, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil.
- José Lipovetzky, Intituto Balseiro, Argentina; Comisión Nacional de Energía Atómica, Argentina.
- Ariel Lutenberg, Universidad de Buenos Aires, Argentina.
- Valentin Obac Roda, Universidade Federal Rio Grande du Norte, Brazil.
- Juan M. Reta, Universidad Nacional de Entre Ríos,
- Leonardo Rey Vega, Universidad de Buenos Aires,
- Gustavo Sutter, Universidad Autónoma de Madrid, Spain.
CALL FOR PAPERS
IEEE Latin America Transactions
Special Issue on Deep Learning
Deep Learning (DL) has emerged as an option in industrial applications, has resulted in significant groundbreaking advances in technology and has opened countless avenues to improve the understanding of its underlying principles. However, to take full advantage of this technology, we need to increase its visibility to stimulate its widespread adoption. DL refers to the establishment of mappings between input an output data constructed as hierarchies of complex concepts on top of simpler ones. Generally associated with artificial neural networks, include, among others subfields, convolutional neural networks, recurrent neural networks, and reinforcement learning. Among other things, researchers have utilized DL successfully to detect cancer in mammographies at human expert levels, create the best computer programs in chess, and synthesize speech from neural activity. Due to their impact in a broad range of disciplines, it is imperative for the development of Latin America countries to extend its adoption and promote awareness about is potential.
The purpose of this Special Issue is to provide a forum for the researchers and practitioners related to the rapidly developing field of DL to share their novel and original research of the topic. Therefore, we encourage the submission of the practitioners’ latest unpublished work on DL. Of our particular interest is the developments from research groups in Latin America. The areas of interest include both theory and applications on the following topics (they are not limited to):
- Applications of Deep Learning to solve specific problems of Latin America
- DL Optimization
- DL Regularization
- Generative Adversarial Networks
- Implementation and design of DL systems
- Large Scale DL
- Object Detection
- Recurrent Neural Networks
- Reinforcement Learning
- Semantic Segmentation
- Transfer Learning
Call for papers: June 10, 2019
Submissions Deadline: September 9, 2019 Notification of Acceptance: November 25, 2019 Final Manuscript Due: December 9, 2019 Publication Date: January 2020
Authors must submit all original manuscripts electronically through the system at https://www.inaoep.mx/~IEEElat Original submissions must not be currently under consideration for publication in other Journals nor be part of Conference proceedings. Author guidelines, submission information and language requirements can be found athttps://www.inaoep.mx/~IEEElat/index.php/transactions/about/submissions
Joaquín Salas, IPN, México email@example.com
Francisco Martínez INAOE, México, firstname.lastname@example.org
Flávio de Barros Vidal, UnB, Brazil. email@example.com
Guest Editorial Board
- Fernando Alonso-Fernandez Halmstad University, Sweden
- Dibio L. Borges, University of Brasilia, Brazil, firstname.lastname@example.org
- Ariel Carrasco Ochoa, Instituto Nacional de Astrofísica, Optica y Electrónica, México, email@example.com
- Adrião Duarte, universidade federal do rio grande do norte, firstname.lastname@example.org
- Joel González Barbosa, Instituto Politécnico Nacional, México, email@example.com
- Angel Kuri, Instituto Tecnológico Autónomo de México, México, firstname.lastname@example.org
- Teresa Bernarda Ludermir, Universidade Federal de Pernambuco, email@example.com
- David Menotti Gomes Federal University of Paraná, Brazil, firstname.lastname@example.org
- José Maurício Motta University of Brasília, Brazil, email@example.com
- Moacir Antonelli Ponti, Universidade de São Paulo, firstname.lastname@example.org
- Bogdan Raducanu, Computer Vision Center, Spain, email@example.com
- Edgar Román-Rangel, Instituto Tecnológico Autónomo de México, México. firstname.lastname@example.org
- Angel D. Sappa, ESPOL Polytechnic University (Ecuador) and Computer Vision Center (Spain), email@example.com
- Humberto Sossa, Instituto Politécnico Nacional, México, firstname.lastname@example.org
- Jordi Vitrià Marca Universitat de Barcelona. email@example.com