| Records |
| Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa |
| Title |
Enhancement of Guided Thermal Image Super-Resolution Approaches |
Type |
Journal |
| Year |
2024 |
Publication |
Neurocomputing |
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| Volume |
573 |
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Conference |
Neurocomputing |
| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
247 |
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| Author |
Emmanuel Moran, Boris Vintimilla & Miguel Realpe |
| Title |
Towards a Robust Solution for the Supermarket Shelf Audit Problem. |
Type |
Conference Article |
| Year |
2023 |
Publication |
26th Iberoamerican Congress on Pattern Recognition (CIARP 2023) Coimbra 27-30 November 2023 |
Abbreviated Journal |
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| Volume |
Vol. 14469 LNCS |
Issue |
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Pages |
257-271 |
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| ISSN |
03029743 |
ISBN |
978-303149017-0 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
204 |
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| Author |
Dennys Paillacho, Nayeth Solórzano, Michael Arce, María Plues & Edwin Eras |
| Title |
Advanced metrics to evaluate autistic children's attention and emotions from facial characteristics using a human robot-game interface |
Type |
Conference Article |
| Year |
2023 |
Publication |
Communications in Computer and Information Science. 11th Conferencia Ecuatoriana de Tecnologías de la Información y Comunicación (TICEC 2023) Cuenca 18-20 Octubre 2023 |
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| Volume |
Vol. 1885 CCIS |
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Pages |
234 - 247 |
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| ISSN |
18650929 |
ISBN |
978-303145437-0 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
221 |
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| Author |
Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa |
| Title |
Corn Kernel Classification From Few Training Samples |
Type |
Journal Article |
| Year |
2023 |
Publication |
In journal Artificial Intelligence in Agriculture |
Abbreviated Journal |
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| Volume |
Vol. 9 |
Issue |
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Pages |
pp. 89-99 |
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| ISSN |
25897217 |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
223 |
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| Author |
Dennis G. Romero, Anselmo Frizera N., & Teodiano Freire B. |
| Title |
Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. |
Type |
Journal Article |
| Year |
2014 |
Publication |
Revista Iberoamericana de Automática e Informática industrial 00 (2014) |
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| Volume |
Vol. 11 |
Issue |
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Pages |
pp. 202-211 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
220 |
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| Author |
Daniela Rato, Miguel Oliviera, Victor Santos, Manuel Gomes & Angel Sappa |
| Title |
A Sensor-to-Pattern Calibration Framework for Multi-Modal Industrial Collaborative Cells. |
Type |
Journal Article |
| Year |
2022 |
Publication |
Journal of Manufacturing Systems |
Abbreviated Journal |
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| Volume |
Vol. 64 |
Issue |
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Pages |
pp. 497-507 |
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Approved |
yes |
| Call Number |
cidis @ cidis @ |
Serial |
184 |
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| Author |
Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia |
| Title |
Dense extreme inception network for edge detection. |
Type |
Journal Article |
| Year |
2023 |
Publication |
Pattern Recognition |
Abbreviated Journal |
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| Volume |
Vol. 139 |
Issue |
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Pages |
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Edition |
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| ISSN |
00313203 |
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| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
216 |
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| Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
| Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
| Year |
2021 |
Publication |
Generative Adversarial Networks for Image-to-Image Translation Book. |
Abbreviated Journal |
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| Volume |
Chapter 9 |
Issue |
Issue 2 |
Pages |
205-232 |
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| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
137 |
| Permanent link to this record |
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| Author |
Carlos Monsalve; Alain April; Alain Abran |
| Title |
BPM and requirements elicitation at multiple levels of abstraction: A review |
Type |
Conference Article |
| Year |
2011 |
Publication |
IADIS International Conference on Information Systems 2011 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
237-242 |
| Keywords |
Business process modeling, levels of abstraction, requirements elicitation, requirements modeling, review |
| Abstract |
Business process models can be useful for requirements elicitation, among other things. Software development depends on the quality of the requirements elicitation activities, and so adequately modeling business processes (BPs) is critical. A key factor in achieving this is the active participation of all the stakeholders in the development of a shared vision of BPs.
Unfortunately, organizations often find themselves left with inconsistent BPs that do not cover all the stakeholders’ needs
and constraints. However, consolidation of the various stakeholder requirements may be facilitated through the use of multiple levels of abstraction (MLA). This article contributes to the research into MLA use in business process modeling (BPM) for software requirements by reviewing the theoretical foundations of MLA and their use in various BP-oriented approaches. |
| Address |
CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL) Km. 30.5 vía Perimetral, |
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ISBN |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
15 |
| Permanent link to this record |
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| Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
| Title |
Sensor Fault Detection and Diagnosis for autonomous vehicles |
Type |
Conference Article |
| Year |
2015 |
Publication |
2nd International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2015), International Conference on, Singapur, 2015 |
Abbreviated Journal |
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| Volume |
30 |
Issue |
MATEC Web of Conferences |
Pages |
1-6 |
| Keywords |
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| Abstract |
In recent years testing autonomous vehicles on public roads has become a reality. However, before having autonomous vehicles completely accepted on the roads, they have to demonstrate safe operation and reliable interaction with other traffic participants. Furthermore, in real situations and long term operation, there is always the possibility that diverse components may fail. This paper deals with possible sensor faults by defining a federated sensor data fusion architecture. The proposed architecture is designed to detect obstacles in an autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault detection and diagnosis. Experimental results using sensor information from the KITTI dataset confirm the feasibility of the proposed architecture to detect soft and hard faults from a particular sensor. |
| Address |
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Thesis |
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| Publisher |
EDP Sciences |
Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Series Issue |
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Edition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
42 |
| Permanent link to this record |
