Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Juan Yepez"'
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 11, Pp 1359-1371 (2021)
The Commercial Vehicle Safety Alliance (CVSA) aims to achieve uniformity, compatibility and reciprocity of commercial motor vehicle inspections and enforcement by certified inspectors dedicated to driver and vehicle safety. Commercial vehicles that p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d33259f2ef301ee21cb9790ef114211
https://doaj.org/article/b64ed3e0c9184ed3b882ac1db8a60d0a
https://doaj.org/article/b64ed3e0c9184ed3b882ac1db8a60d0a
Publikováno v:
Review of International Economics. 29:439-483
We study the impact of exogenous terms‐of‐trade shocks in a large sample of small open economies. Using a panel vector autoregression, we estimate the response of domestic variables including the exchange rate, output, exports, imports, and domes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aa2de35e8c36347dc814b350c9f82da
https://doi.org/10.1111/roie.12534
https://doi.org/10.1111/roie.12534
Autor:
Seok-Bum Ko, Juan Yepez
Publikováno v:
Journal of Electrical Engineering & Technology. 15:2823-2832
Our paper presents a novel fire prevention system based on the Internet of Things (IoT) that uses the Ethereum distributed ledger (blockchain) to build a verifiable record of fire risk events. Our proposed system can operate off- and online and does
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aad824f9fe33ea729a61d99caf7d54f
https://doi.org/10.1007/s42835-020-00529-z
https://doi.org/10.1007/s42835-020-00529-z
Autor:
Seok-Bum Ko, Juan Yepez
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28:853-863
Convolutional neural networks (CNNs) have been widely adopted for computer vision applications. CNNs require many multiplications, making their use expensive in terms of both computational complexity and hardware. An effective method to mitigate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf0af87e0b5656f4b004e044b29ce8f
https://doi.org/10.1109/tvlsi.2019.2961602
https://doi.org/10.1109/tvlsi.2019.2961602
Publikováno v:
IET Intelligent Transport Systems. 14:119-126
As Intelligent Transportation Systems applications increase in prevalence, Automatic License Plate Recognition solutions must be made continually faster and more accurate. The authors propose an embedded system for fast and accurate license plate seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::581e4d39eb1784e236b570130464e460
https://doi.org/10.1049/iet-its.2019.0481
https://doi.org/10.1049/iet-its.2019.0481
Autor:
Marco Arena, Jaime Guajardo, Juan Yepez, Gerardo Peraza, Jorge Alvarez, Alain Brousseau, Emilio Fernandez Corugedo, Hamid Faruqee
Publikováno v:
Departmental Papers. 2022:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd46a4dc307bc3079fd0f00b808cb494
https://doi.org/10.5089/9798400224478.087
https://doi.org/10.5089/9798400224478.087
Publikováno v:
IET Intelligent Transport Systems. 13:1569-1578
In this study the authors propose novel neural network architecture for license plate localisation (LPL) based on an inverted residual structure where the shortcut connections are between the linear bottleneck layers. This residual structure is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::491d02099b0addd6f8b06685c4aa277e
https://doi.org/10.1049/iet-its.2019.0082
https://doi.org/10.1049/iet-its.2019.0082
Publikováno v:
IMF Working Papers. 2022:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9af967ef0bbdf2c438d39f6947e779a
https://doi.org/10.5089/9798400222030.001
https://doi.org/10.5089/9798400222030.001
Autor:
Juan Yepez
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::419e6cbf31ded6310eb88f5e10ee28e5
https://doi.org/10.2139/ssrn.4026408
https://doi.org/10.2139/ssrn.4026408
Autor:
Seok-Bum Ko, Juan Yepez
Publikováno v:
IET Intelligent Transport Systems. 12:542-549
Automatic license plate recognition (ALPR) systems have become an important tool to track stolen cars, access control, and monitor traffic. ALPR system consists of locating the license plate in an image, followed by character detection and recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750c9df28692a6be81b834548b1eade8
https://doi.org/10.1049/iet-its.2017.0224
https://doi.org/10.1049/iet-its.2017.0224