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Author | Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa | ||||
Title | Fine-tuning deep convolutional networks for lepidopterous genus recognition | Type | Journal Article | ||
Year | 2017 | Publication | Lecture Notes in Computer Science | Abbreviated Journal | |
Volume | Vol. 10125 LNCS | Issue | Pages | pp. 467-475 | |
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Call Number | gtsi @ user @ | Serial | 63 | ||
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Author | Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa | ||||
Title | Fine-tuning based deep covolutional networks for lepidopterous genus recognition | Type | Conference Article | ||
Year | 2016 | Publication | XXI IberoAmerican Congress on Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 1-9 | ||
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Abstract | This paper describes an image classication approach ori- ented to identify specimens of lepidopterous insects recognized at Ecuado- rian ecological reserves. This work seeks to contribute to studies in the area of biology about genus of butter ies and also to facilitate the reg- istration of unrecognized specimens. The proposed approach is based on the ne-tuning of three widely used pre-trained Convolutional Neural Networks (CNNs). This strategy is intended to overcome the reduced number of labeled images. Experimental results with a dataset labeled by expert biologists, is presented|a recognition accuracy above 92% is reached. 1 Introductio | ||||
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Call Number | cidis @ cidis @ | Serial | 53 | ||
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Author | Juan C. Basurto, Patricia Chávez and Hernán Córdova | ||||
Title | A Proximity-Aware Transparent Handoff Mobility Scheme for VoIP Communication over Infrastructure Mesh Networks | Type | Conference Article | ||
Year | 2011 | Publication | International Congress of Electronic, Electrical and Systems Engineering-INTERCON 2011 | Abbreviated Journal | |
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Keywords | Wireless Mesh Networks; Quality of Service; Mobility Management; Voice over IP. | ||||
Abstract | Mobility Management plays a key role in Voice-over- IP (VoIP) communications over Wireless Mesh Networks (WMN) as clients should maintain adequate levels of Quality of Service (QoS) as they move across the network. This paper presents PATH, a Proximity-Aware Transparent Handoff mobility scheme for real time voice communications over wireless mesh networks. Our study focuses on Medium Access Control (MAC) layer procedures and relies on gratuitous ARP unicasting in order to provide fast-handoffs. An experimental evaluation has been conducted and its results are shown in this paper. | ||||
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Language | English | Summary Language | English | Original Title | |
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Call Number | cidis @ cidis @ | Serial | 20 | ||
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Author | Juca Aulestia M., Labanda Jaramillo M., Guaman Quinche J., Coronel Romero E., Chamba Eras L., & Roberto Jacome Galarza | ||||
Title | Open innovation at university: a systematic literature review | Type | Journal Article | ||
Year | 2020 | Publication | Advances in Intelligent Systems and Computing | Abbreviated Journal | |
Volume | 1159 AISC, 2020 | Issue | Pages | 3-14 | |
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Call Number | cidis @ cidis @ | Serial | 189 | ||
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Author | Julien Poujol; Cristhian A. Aguilera; Etienne Danos; Boris X. Vintimilla; Ricardo Toledo; Angel D. Sappa | ||||
Title | A visible-Thermal Fusion based Monocular Visual Odometry | Type | Conference Article | ||
Year | 2015 | Publication | Iberian Robotics Conference (ROBOT 2015), International Conference on, Lisbon, Portugal, 2015 | Abbreviated Journal | |
Volume | 417 | Issue | Pages | 517-528 | |
Keywords | Monocular Visual Odometry; LWIR-RGB cross-spectral Imaging; Image Fusion | ||||
Abstract | The manuscript evaluates the performance of a monocular visual odometry approach when images from different spectra are considered, both independently and fused. The objective behind this evaluation is to analyze if classical approaches can be improved when the given images, which are from different spectra, are fused and represented in new domains. The images in these new domains should have some of the following properties: i) more robust to noisy data; ii) less sensitive to changes (e.g., lighting); iii) more rich in descriptive information, among other. In particular in the current work two different image fusion strategies are considered. Firstly, images from the visible and thermal spectrum are fused using a Discrete Wavelet Transform (DWT) approach. Secondly, a monochrome threshold strategy is considered. The obtained representations are evaluated under a visual odometry framework, highlighting their advantages and disadvantages, using different urban and semi-urban scenarios. Comparisons with both monocular-visible spectrum and monocular-infrared spectrum, are also provided showing the validity of the proposed approach. | ||||
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Language | English | Summary Language | English | Original Title | |
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Call Number | cidis @ cidis @ | Serial | 44 | ||
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Author | Leo Ramos & Angel D. Sappa | ||||
Title | Multispectral Semantic Segmentation for Land Cover Classification: An Overview | Type | Journal | ||
Year | 2024 | Publication | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Abbreviated Journal | |
Volume | Vol. 17 | Issue | Pages | 14295-14336 | |
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Call Number | cidis @ cidis @ | Serial | 250 | ||
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Author | Low S., Inkawhich N., Nina O., Sappa A. and Blasch E. | ||||
Title | Multi-modal Aerial View Object Classification Challenge Results-PBVS 2022. | Type | Conference Article | ||
Year | 2022 | Publication | Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. | Abbreviated Journal | CONFERENCE |
Volume | 2022-June | Issue | Pages | 417-425 | |
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Abstract | This paper details the results and main findings of the second iteration of the Multi-modal Aerial View Object Classification (MAVOC) challenge. This year’s MAVOC challenge is the second iteration. The primary goal of both MAVOC challenges is to inspire research into methods for building recognition models that utilize both synthetic aperture radar (SAR) and electro-optical (EO) input modalities. Teams are encouraged/challenged to develop multi-modal approaches that incorporate complementary information from both domains. While the 2021 challenge showed a proof of concept that both modalities could be used together, the 2022 challenge focuses on the detailed multi-modal models. Using the same UNIfied COincident Optical and Radar for recognitioN (UNICORN) dataset and competition format that was used in 2021. Specifically, the challenge focuses on two techniques, (1) SAR classification and (2) SAR + EO classification. The bulk of this document is dedicated to discussing the top performing methods and describing their performance on our blind test set. Notably, all of the top ten teams outperform our baseline. For SAR classification, the top team showed a 129% improvement over our baseline and an 8% average improvement from the 2021 winner. The top team for SAR + EO classification shows a 165% improvement with a 32% average improvement over 2021. |
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Call Number | cidis @ cidis @ | Serial | 177 | ||
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Author | Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. | ||||
Title | Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. | Type | Conference Article | ||
Year | 2021 | Publication | The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science | Abbreviated Journal | |
Volume | 1388 | Issue | Pages | 164-178 | |
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Call Number | cidis @ cidis @ | Serial | 191 | ||
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Author | Luis Chuquimarca, Boris Vintimilla & Sergio Velastin | ||||
Title | Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets. | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon, 19-21 Febrero 2023 | Abbreviated Journal | |
Volume | Issue | Pages | 536 - 543 | ||
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Call Number | cidis @ cidis @ | Serial | 202 | ||
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Author | Luis Chuquimarca, Boris Vintimilla & Sergio Velastin | ||||
Title | A Review of External Quality Inspection for Fruit Grading using CNN Models | Type | Magazine Article | ||
Year | 2024 | Publication | Journal Artificial Intelligence in Agriculture | Abbreviated Journal | |
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Call Number | cidis @ cidis @ | Serial | 254 | ||
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