| dc.contributor | Takahashi Rodríguez, Silvia | |
| dc.creator | Beltrán Morales, Jhoan Sebastián | |
| dc.date.accessioned | 2023-01-26T20:04:12Z | |
| dc.date.accessioned | 2023-09-06T23:30:11Z | |
| dc.date.available | 2023-01-26T20:04:12Z | |
| dc.date.available | 2023-09-06T23:30:11Z | |
| dc.date.created | 2023-01-26T20:04:12Z | |
| dc.date.issued | 2023-01-24 | |
| dc.identifier | http://hdl.handle.net/1992/64238 | |
| dc.identifier | instname:Universidad de los Andes | |
| dc.identifier | reponame:Repositorio Institucional Séneca | |
| dc.identifier | repourl:https://repositorio.uniandes.edu.co/ | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8726578 | |
| dc.description.abstract | En este trabajo de grado se realizó una red neuronal convolucional que separa imágenes de basura por su tipo lo cual permite ayudar a las personas a reciclar de manera efectiva y rápida en pro del medio ambiente. | |
| dc.language | spa | |
| dc.publisher | Universidad de los Andes | |
| dc.publisher | Ingeniería de Sistemas y Computación | |
| dc.publisher | Facultad de Ingeniería | |
| dc.publisher | Departamento de Ingeniería Sistemas y Computación | |
| dc.relation | https://www.semana.com/medio-ambiente/articulo/el-78-de-los-hogares-colombianos-no-recicla/44231/ | |
| dc.relation | https://www.larepublica.co/responsabilidad-social/seis-paises-alrededor-del-mundo-reciclan-mas-de-50-de-su-basura-durante-el-ano-2813051#:~:text=No%20obstante%2C%20el%20mayor%20progreso,B%C3%A9lgica%20y%20los%20Pa%C3%ADses%20Bajos | |
| dc.relation | https://www.oecd.org/centrodemexico/medios/perspectivas-globales-del-plastico.htm#:~:text=22%2F02%2F2022%20%2D%20El,nuevo%20reporte%20de%20la%20OCDE | |
| dc.relation | https://es.wikipedia.org/wiki/Red_neuronal_artificial | |
| dc.relation | https://www.aprendemachinelearning.com/como-funcionan-las-convolutional-neural-networks-vision-por-ordenador/ | |
| dc.relation | https://www.kaggle.com/code/mostafaabla/garbage-classification-keras-transfer-learning | |
| dc.relation | https://www.kaggle.com/code/alexfordna/garbage-classification-mobilenetv2-92-accuracy | |
| dc.relation | https://www.kaggle.com/datasets/mostafaabla/garbage-classification | |
| dc.relation | Bircano¿lu, Cenk & Atay, Melvin Selim & Beser, Fuat & Genc, Ozgun & Kizrak, Merve Ayyuce. (2018). RecycleNet: Intelligent Waste Sorting Using Deep Neural Networks.
10.1109/INISTA.2018.8466276. | |
| dc.relation | https://www.ibm.com/docs/es/spss-modeler/saas?topic=networks-neural-model | |
| dc.rights | Attribution-NoDerivatives 4.0 Internacional | |
| dc.rights | Attribution-NoDerivatives 4.0 Internacional | |
| dc.rights | http://creativecommons.org/licenses/by-nd/4.0/ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.title | Red neuronal convolucional para separar basura | |
| dc.type | Trabajo de grado - Pregrado | |
