Gallery Items tagged University

Reconocimiento De Especies Arboreas Usando PDI
En este documento se muestra un acercamiento identificación de especies arbóreas mediante Histogramas De Gradientes Orientados y maquinas de soporte Vectorial.
Raúl

HomeWork (Tareas) - Depto Fisica - Universidad Andres Bello
Template for homework (tareas in spanish), for students. Based in Latex, with logo title and more.
Joaquin Peralta

Template relazione: Lab. Ottica prof. Antonio Perreca
Template per le relazioni di ottica del prof. Antonio Perreca. Università di Trento, a.a. 2017-2018
Isacco Gobbi

Two-columns minimal poster (BCMSLab)
A two-columns minimal poster from the BCMSLab with the Gyeongsang National University logo.
Mahmoud Ahmed

Modèle de thése Université Djilali Liabes de Sidi Bel Abbes
Ce projet est le modèle de thèse de Doctorat et Memoire de Master adopté au département d'informatique de Université Djilali Liabes de Sidi Bel Abbes
Sofiane BOUKLI HACENE

Relatorio 3- Fisica Experimental II
Trabalho de Grupo Cefet
Egmon Pereira

Choosing Adequate Speech Presence Probability Method for Enhanced Multichannel Background Noise Reduction Algorithms
There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises.
It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction.
The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.
ivan

GENE 245 Project Machine Learning for HiC data
In this work we apply machine learning as a conducive method towards
identifying previously unstudied patterns in chromosome interaction data sets. We rst use
supervised learning to show that patterns identi ed by a user can be learned by tensor ow
models, and then transition into unsupervised methods to delve even more deeply into the
possibilities of discovery without human intervention.
Lan Huong Nguyen, Dan Iter, Robert Bierman

Proposta do Trabalho de Conclusão de Curso ENGCOMP
Template da Proposta do Trabalho de Conclusão de Curso, referente ao curso de Engenharia de Computação do CEFET/R Campus Petrópolis.
Guilherme de Oliveira Pinto