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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
Volume Vol. 9 Issue Pages pp. 89-99
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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) Abbreviated Journal
Volume Vol. 11 Issue Pages pp. 202-211
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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
Volume Vol. 64 Issue Pages pp. 497-507
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Call Number cidis @ cidis @ Serial 184
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Author Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia
Title Type Journal Article
Year 2023 Publication Dense extreme inception network for edge detection. Pattern Recognition Abbreviated Journal
Volume Vol. 139 Issue Pages
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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
Volume Chapter 9 Issue Issue 2 Pages 205-232
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Call Number cidis @ cidis @ Serial 137
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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
Volume Issue 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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Call Number cidis @ cidis @ Serial 15
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Author Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno
Title Distributed Intelligence in Autonomous PEM Fuel Cell Control. Type Journal Article
Year 2023 Publication Energies 2023 Abbreviated Journal
Volume Vol. 16 Issue Issue 12 Pages
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Call Number cidis @ cidis @ Serial 217
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Author Rafael E. Rivadeneira, Angel Domingo Sappa, Vintimilla B. X. and Hammoud R.
Title A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super- Resolution. Type Journal Article
Year 2022 Publication Sensors Abbreviated Journal Sensors
Volume Vol. 22 Issue Issue 6 Pages
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Call Number cidis @ cidis @ Serial 170
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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
Volume 30 Issue MATEC Web of Conferences Pages 1-6
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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.
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Language English Summary Language English Original Title
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Call Number cidis @ cidis @ Serial 42
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Author Velesaca, Henry O.; Suárez, Patricia L.; Sappa, Angel D.; Carpio, Dario; Rivadeneira, Rafael E.; Sanchez, Angel
Title Review on Common Techniques for Urban Environment Video Analytics. Type Conference Article
Year 2022 Publication WORKSHOP BRASILEIRO DE CIDADES INTELIGENTES (WBCI 2022) Abbreviated Journal
Volume Issue Porto Alegre: Sociedade Brasileira de Computação Pages 107-118
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Call Number cidis @ cidis @ Serial 192
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