Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cesar G. Pachon-Suescun"'
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 5, Pp 971-984 (2020)
Energy consumption is one factor of risk in the medium term around of the world, that can be minimized by efficient use of electrical devices include its disconnection after use. This article presents a system focused on smart homes, where the concep
In the field of robotics, it is essential to know the work area in which the agent is going to develop, for that reason, different methods of mapping and spatial location have been developed for different applications. In this article, a machine visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c3f332b58e0480d6fbeee9c51de020c
https://zenodo.org/record/4092645
https://zenodo.org/record/4092645
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 10:1495
This article presents a system focused on the detection of three types of abnormal walk patterns caused by neurological diseases, specifically Parkinsonian gait, Hemiplegic gait, and Spastic Diplegic gait. A Kinect sensor is used to extract the Skele
Publikováno v:
International Review of Automatic Control (IREACO). 13:58
This paper presents the development of a convolutional neural network with a directed acyclic graph architecture (DAG-CNN) focused on the recognition of places. The network is focused on identifying six types of rooms in various houses. For this purp
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 10:1053
This article presents a work oriented to assistive robotics, where a scenario is established for a robot to reach a tool in the hand of a user, when they have verbally requested it by his name. For this, three convolutional neural networks are traine
Publikováno v:
International Review on Modelling and Simulations (IREMOS). 12:253
Word searching is a topic that has gained great interest due to the development of numerous techniques focused on this task. However, most of those implementations require a prior digitalization or preprocessing of the target text so, it cannot be do
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 9:3314
This paper presents the implementation of a DAG-CNN which aims to classify and verify the authenticity of the offline signatures of 3 users, using the writer-independent method. In order to develop this work, 2 databases (training / validation and te