Listar por tema "convolutional neural network"
Mostrando ítems 1-7 de 7
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Aplicación del aprendizaje profundo al reconocimiento de la actividad humana
(16/07/2020)Este trabajo tiene como objetivo aplicar técnicas de aprendizaje profundo para el reconocimiento de la actividad humana. Se han definido e implementado cuatro modelos de red neuronal y se han entrenado con los datos ... -
Constructing the Public Opinion Crisis Prediction Model Using CNN and LSTM Techniques Based on Social Network Mining
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)This research endeavors to address the persistent dissemination of public opinion within social networks, mitigate the propagation of inappropriate content on these platforms, and enhance the overall service quality of ... -
Detección y Diagnóstico de Fallas en Rodamientos con Velocidad Variable Aplicando Aprendizaje Profundo
(20/07/2020)Detectar potenciales anomalías en rodamientos de equipos rotativos, minimiza el riesgo de pérdidas de lucro cesante, costos de reparación y afectación de seguridad de procesos como consecuencia de una falla. Los rodamientos ... -
Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ... -
Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space
(Sysmmetry. Basel, 12/2018)Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ... -
Spatial-resolution independent object detection framework for aerial imagery
(Computers, materials and continua, 2021)Earth surveillance through aerial images allows more accurate identification and characterization of objects present on the surface from space and airborne platforms. The progression of deep learning and computer vision ... -
Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation
(IEEE Latin America Transactions, 2023)Liver cancer is the primary reason of death around the globe. Manually detecting the infected tissues is a challenging and time-consuming task. The computerized methods help make accurate decisions and therapy processes. ...
