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Mostrando ítems 1-10 de 17
Proposta de implementação em hardware de rede neural profunda baseada em Stacked Sparse Autoencoder
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2019-01-17)
The deep learning techniques have been gaining prominence in world research in the
past years. However, the deep learning algorithms have high computational cost, making
it hard to apply in several commercial applications. ...
Stacked sparse autoencoder base frameworks for tool condition monitoring
Tool condition monitoring systems in High Speed Machining (HSM) are of great importance
to maintain the quality of the products and diagnose the useful life of the tools. These systems are
highly demanded for the suppliers ...
Otimização multi-objetivo para classificação de tráfego de redes
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2019)
Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model
(Corporación Universidad de la Costa, 2021)
Unsupervised learning models-based CRM anomaly detection using GPU
Deep learning models have improved several business intelligence tools like Customer relationship Management(CRM) systems. However, those models have increased the need for advanced computational capacity and infrastructure. ...
Implementación de interfaz cerebro-máquina para el control de movimiento de un brazo manipulador robótico UR3 para Aplicaciones de Pick and Place
(Universidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería Mecatrónica, 2022-07-09)
En este proyecto se investigó, desarrolló e implementó una interfaz cerebro máquina (BMI) tomando señales de electroencefalografía (EEG) correspondientes a la actividad sensorial-motora de una persona, específicamente en ...
Multimodal non-linear latent semantic method for information retrieval
(Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2019-10-31)
La búsqueda y recuperación de datos multimodales es una importante tarea dentro del campo de búsqueda y recuperación de información, donde las consultas y los elementos de la base de datos objetivo están representados por ...