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Author |
Gisel Bastidas G., Patricio Moreno V., Boris Vintimilla & Angel D. Sappa |
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Title |
Application-Guided Image Fusion: A Path to Improve Results in High-Level Vision Tasks |
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2025 |
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20th International Conference on Computer Vision Theory and Applications VISAPP 2025 |
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cidis @ cidis @ |
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266 |
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Author |
Henry O. Velesaca, Angel D. Sappa & Juan A. Holgado |
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Title |
A Case Study of Anomaly Detection in Tinplate Lids: Supervised vs Unsupervised approaches |
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2025 |
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11th International Conference on Automation, Robotics, and Applications (ICARA 2025) |
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cidis @ cidis @ |
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267 |
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Henry O. Velesaca & Angel D. Sappa |
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Title |
Seeing the Unseen: AI-Powered Camouflaged Pest Detection |
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2025 |
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9th International Conference on Machine Vision and Information Technology (CMVIT 2025) |
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cidis @ cidis @ |
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268 |
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Constantine Macías A., Toala Paz A., Realpe Miguel, Suárez Moncada Jenifer, Páez Rosas Diego & Jarrín Enrique Peláez |
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Leveraging Deep Learning Techniques for Marine and Coastal Wildlife Using Instance Segmentation: A Study on Galápagos Sea Lions |
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2024 |
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In 8th Ecuador Technical Chapters Meeting (ETCM 2024) Cuenca, October 15 – October 18, 2024 |
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no |
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cidis @ cidis @ |
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269 |
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Author |
Leo Thomas Ramos & Angel D. Sappa |
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Title |
Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery |
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2025 |
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Scientific Reports |
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no |
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cidis @ cidis @ |
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270 |
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Author |
Leo Thomas Ramos & Angel D. Sappa |
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Title |
Dual-branch ConvNeXt-based Network with Attentional Fusion Decoding for Land Cover Classification Using Multispectral Imagery |
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2025 |
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IEEE SoutheastCon 2025 |
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no |
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cidis @ cidis @ |
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271 |
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Author |
Leo Thomas Ramos & Angel D. Sappa |
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Title |
Enhanced Aerial Scene Classification Through ConvNeXt Architectures and Channel Attention |
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2025 |
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10th International Congress on Information and Communication Technology |
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no |
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cidis @ cidis @ |
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272 |
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Author |
Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias; A. Paulo Moreira |
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Title |
Incremental Texture Mapping for Autonomous Driving |
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2016 |
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Robotics and Autonomous Systems Journal |
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Vol. 84 |
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pp. 113-128 |
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Scene reconstruction, Autonomous driving, Texture mapping |
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Autonomous vehicles have a large number of on-board sensors, not only for providing coverage all around the vehicle, but also to ensure multi-modality in the observation of the scene. Because of this, it is not trivial to come up with a single, unique representation that feeds from the data given by all these sensors. We propose an algorithm which is capable of mapping texture collected from vision based sensors onto a geometric description of the scenario constructed from data provided by 3D sensors. The algorithm uses a constrained Delaunay triangulation to produce a mesh which is updated using a specially devised sequence of operations. These enforce a partial configuration of the mesh that avoids bad quality textures and ensures that there are no gaps in the texture. Results show that this algorithm is capable of producing fine quality textures. |
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English |
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cidis @ cidis @ |
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50 |
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Author |
G.A. Rubio; Wilton Agila |
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Title |
Sustainable Energy: A Strategic View of Fuel Cells |
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2019 |
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8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania |
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239-243 |
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Based on the model of the proton exchange fuel cell in a strategic context,
this document develops the issue of energy as one of the pillars to achieve the
sustainability of our planet, considering the future scenarios up to the year 2060 of the
situation energy, hydrogen as a strategic vector and the contribution of the fuel cell in
solving the serious problems of environmental pollution and economic inequity that
humanity faces; for its application in the energy generation, telecommunications and
vehicle manufacturing industries. |
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gtsi @ user @ |
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110 |
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Author |
Carlos Monsalve; Alain April; Alain Abran |
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Title |
Requirements Elicitation Using BPM Notations: Focusing on the Strategic Level Representation |
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2011 |
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10th WSEAS international conference on Applied computer and applied computational science |
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235-241 |
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Business process modeling, levels of abstraction, requirements elicitation, case study, action research |
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Abstract |
Business process models (BPM) can be useful for requirements elicitation, among other uses. Since the active participation of all stakeholders is a key factor for successful requirements engineering, it is important that BPM be shared by all stakeholders. Unfortunately, organizations may end up with inconsistent BPM not covering all stakeholders’ needs and constraints. The use of multiple levels of abstraction (MLA), such as at the strategic, tactical and operational levels, is often used in various process-oriented initiatives to facilitate the consolidation of various stakeholders’ needs and constraints. This article surveys the use of MLA in recent BPM research publications and reports on a BPM action-research case study conducted in a Canadian organization, with the aim of exploring the usefulness of the strategic level. |
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CIDIS – Electrical and Computer Engineering Department Escuela Superior Politécnica del Litoral Km. 30.5 vía Perimetral |
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1100 rue Notre-Dame Ouest, Montréal, Québec H3C 1K3 CANADA |
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cidis @ cidis @ |
Serial |
16 |
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