Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jefferson Hernandez"'
Autor:
Jefferson Hernandez, Gabriela Valarezo, Richard Cobos, Joo Wang Kim, Ricardo Palacios, Andres G. Abad
Publikováno v:
IEEE Access, Vol 9, Pp 103110-103119 (2021)
Measuring manual-labor performance has been a key element of work scheduling and resource management in many industries. It is performed using a standard data system called Time and Motion Study (TMS). Many industries still rely on direct human effor
Externí odkaz:
https://doaj.org/article/50af0bc2c54843eb97bb39f2195405e8
Autor:
Richard Cobos, Joo Wang Kim, Andres G. Abad, Ricardo Palacios, Jefferson Hernandez, Gabriela Valarezo
Publikováno v:
IEEE Access, Vol 9, Pp 103110-103119 (2021)
Measuring manual-labor performance has been a key element of work scheduling and resource management in many industries. It is performed using a standard data system called Time and Motion Study (TMS). Many industries still rely on direct human effor
Publikováno v:
2022 19th Conference on Robots and Vision (CRV).
Publikováno v:
Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 ISBN: 9781003146711
Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0
Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389f077136f4190e9be8d77ba9ad619c
https://doi.org/10.1201/9781003146711-10
https://doi.org/10.1201/9781003146711-10
Publikováno v:
2019 International Conference on Virtual Reality and Visualization (ICVRV).
we present an architecture to integrate augmented reality (AR) elements to a board game. Our serious board game is aimed at creating consciousness about water source’s preservation in a rural community.
Multiple-Object Tracking (MOT) is of crucial importance for applications such as retail video analytics and video surveillance. Object detectors are often the computational bottleneck of modern MOT systems, limiting their use for real-time applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b6d50f967256ab6d764bf6cbb4f8e1
http://arxiv.org/abs/1908.04349
http://arxiv.org/abs/1908.04349
Publikováno v:
Applications of Computational Intelligence ISBN: 9783030362102
Traffic-flow analysis allows to make critical decisions for retail operation management. Common approaches for traffic-flow analysis make use of hardware-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ab197175e03f359980bc7a755210a2
https://doi.org/10.1007/978-3-030-36211-9_3
https://doi.org/10.1007/978-3-030-36211-9_3
Autor:
Jefferson Hernandez, Andres G. Abad
A restricted Boltzmann machine (RBM) is a generative neural-network model with many novel applications such as collaborative filtering and acoustic modeling. An RBM lacks the capacity to retain memory, making it inappropriate for dynamic data modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0073454c468394c09f14edef27a054f1
Autor:
Jefferson Hernandez, Andres G. Abad
Publikováno v:
Applications of Computational Intelligence ISBN: 9783030030223
A restricted Boltzmann machine (RBM) is a generative neural-network model with many applications, such as, collaborative filtering, acoustic modeling, and topic modeling. An RBM lacks the capacity to retain memory, making it inappropriate for dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::972e7ce94a5a53338d6e1a646948f79d
https://doi.org/10.1007/978-3-030-03023-0_1
https://doi.org/10.1007/978-3-030-03023-0_1