Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Tomo Popovic"'
Publikováno v:
Sensors, Vol 23, Iss 6, p 3002 (2023)
This research describes the use of high-performance computing (HPC) and deep learning to create prediction models that could be deployed on edge AI devices equipped with camera and installed in poultry farms. The main idea is to leverage an existing
Externí odkaz:
https://doaj.org/article/ff9469ccaf28443aaa7d913ff2322f2b
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254918 (2021)
Topological characterization of the Retinal microvascular nEtwork visualized by portable fuNDus camera (TREND) is a database comprising of 72 color digital retinal images collected from the students of the Faculty of Medicine at the University of Mon
Externí odkaz:
https://doaj.org/article/420172368c3342688babaaa7299ee9bb
Publikováno v:
Data in Brief, Vol 18, Iss , Pp 470-473 (2018)
In this article we present a data set that contains 37 image files obtained by manual vessel segmentation of raw retinal images from Structured Analysis of the Retina (STARE) database (“The STARE Project”, 2018) [1]. Our expert segmented 8 images
Externí odkaz:
https://doaj.org/article/d9d74b06628a4fb2acacae398d02c5d1
Autor:
Natasa Popovic, Maša Ždralević, Stela Vujosevic, Miroslav Radunović, Antoaneta Adžić Zečević, Isidora Rovčanin Dragović, Batrić Vukčević, Tomo Popovic, Ljiljana Radulović, Tijana Vuković, Jevto Eraković, Ranko Lazović, Miodrag Radunovic
Physiological changes associated with aging increase the risk for the development of age-related diseases. This increase is nonspecific to the type of age-related disease, although each desease develops through a unique pathophysiologic mechanism. Pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d83724208a5aa93a5e7ebfb807403db
https://doi.org/10.21203/rs.3.rs-2919375/v1
https://doi.org/10.21203/rs.3.rs-2919375/v1
Traditional statistical models as tools for summarizing patterns and regularities in observed data can be used for making predictions. However, statistical prediction models contain small number of important predictors, which means limited informativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e457fe347d2f6a80c8048278303caaf0
https://zenodo.org/record/7790610
https://zenodo.org/record/7790610
Artificial intelligence is getting more and more involved in our everyday life as a result of enormous amounts of data available for feeding the machine and deep learning algorithms. Deep learning introduced new dimensions and possibilities of applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23750071768e5d594f1444e33117e370
https://zenodo.org/record/7791480
https://zenodo.org/record/7791480
Publikováno v:
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH).
Publikováno v:
The International Arab Journal of Information Technology. 20
Compared to traditional statistical models, Machine Learning (ML) algorithms provide the ability to interpret, understand and summarize patterns and regularities in observed data for making predictions in an advanced and more sophisticated way. The m
This paper describes research effort aimed at the use of machine learning, Internet of Things, and edge computing for a use case in health, mainly the prevention of the spread of infectious diseases. The main motivation for the research was the Covid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb9320620702a0b86b5ca2775d0cb4b8
https://zenodo.org/record/7791505
https://zenodo.org/record/7791505
Smart city is one area with the growing use of Internet of Things and Artificial Intelligence. The concept of smart cities relies on making quality of life better, and solving important problems, such as global warming, public health, energy and reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::850fe5ba8b145de32973a61f719a35c1
https://zenodo.org/record/7791519
https://zenodo.org/record/7791519