Zobrazeno 1 - 10
of 463
pro vyhledávání: '"neurala nätverk"'
Autor:
Björkqvist, Niclas, Evestam, Viktor
A better understanding of the traffic flow in a city helps to smooth transport resulting in a better street environment, affecting not only road users and people in proximity. Good predictions of the flow of traffic helps to control and further devel
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533806
Autor:
El Yaacoub, Khalid
Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. In r
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344747
Autor:
Shangguan, Shengyao
Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325689
Autor:
Lo Presti Costantino, Dario
Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge i
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329201
Autor:
Rajendran Bongole, Raghav
Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivit
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209
Autor:
Rajendran Bongole, Raghav
Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::0ef9aca82f343d7d08e3e4981b1ed2dd
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209
Autor:
Öijar Jansson, Agnes
This thesis examines whether housing price estimations can be improved by combining several modalities of data through the utilization of neural networks. The analysis is limited to apartments in the Stockholm municipality, and the applied modalities
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-346704
Autor:
Madana, Moulika
Time synchronization is a process of ensuring all the time difference between the clocks of network components(like base stations, boundary clocks, grandmasters, etc.) in the mobile network is zero or negligible. It is one of the important factors re
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344378
Autor:
Santoro, Matteo
In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insu
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344296
Autor:
Rey, Robert
The focus of this work is the task of 3D human pose estimation, more specifically by making use of key points located in single monocular images in order to estimate the location of human body joints in a 3D space. It was done in association with Tra
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344247