Výsledky vyhledávání

Bayesian and non-Bayesian probabilistic models for medical image analysis

Autor: A. J. Lacey, Paul A. Bromiley, Maja Pokric, Neil A. Thacker, Timothy F. Cootes, Marietta L. J. Scott

Publikováno v: Image and Vision Computing. 21:851-864

Bayesian approaches to data analysis are popular in machine vision, and yet the main advantage of Bayes theory, the ability to incorporate prior knowledge in the form of the prior probabilities, may lead to problems in some quantitative tasks. In thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b6ad2f6b1a6086342319d3f369b3a89
https://doi.org/10.1016/s0262-8856(03)00072-6

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Testing of gadolinium oxy-sulphide phosphors for use in CCD-based X-ray detectors for macromolecular crystallography

Autor: Nigel M. Allinson, Maja Pokric

Publikováno v: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 477:353-359

The resolution and detective quantum efficiency of CCD-based detectors used for X-ray diffraction is primarily affected by the layer of phosphor that converts incident X-ray photons into visible photons. The optimum thickness of this phosphor layer i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::742fb6e65c3d7d8e88b88679280c88dd
https://doi.org/10.1016/s0168-9002(01)01868-x

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Large area high-resolution CCD-based X-ray detector for macromolecular crystallography

Autor: Paul Jerram, Nigel M. Allinson, Kevin James Moon, Gareth E. Derbyshire, Maja Pokric, A Marshall, M.P Cox, Colin Nave, John R. Helliwell, Peter J. Pool, P.G Long, A. R. Jorden

Publikováno v: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 477:166-171

An X-ray detector system for macromolecular crystallography based on a large area charge-coupled device (CCD) sensor has been developed as part of a large research and development programme for advanced X-ray sensor technology, funded by industry and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4407bf3db7dec36c07da56db99d67395
https://doi.org/10.1016/s0168-9002(01)01881-2

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ekoNET - Environmental Monitoring Using Low-Cost Sensors for Detecting Gases, Particulate Matter, and Meteorological Parameters

Autor: Dejan Drajic, Milena Jovaevic Stojanovic, Ivan D. Jokic, Boris Pokric, Srdan Kreo, Maja Pokric

Publikováno v: IMIS

This paper presents the environmental monitoring solution ekoNET, developed for a real-time monitoring of air pollution and other atmospheric condition parameters such as temperature, air pressure and humidity. The system is based on low-cost gas, PM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22eb2afb09548d55457f3d72c1fcd983
https://doi.org/10.1109/imis.2014.57

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Augmented Reality Based Smart City Services Using Secure IoT Infrastructure

Autor: Maja Pokric, Srdan Krco, Boris Pokric

Publikováno v: AINA Workshops

This paper presents an application of Augmented Reality (AR) within a smart city service to be deployed in the domain of public transport in the city of Novi Sad in Serbia. The described solution is focused on providing a simple and efficient method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0902b2a3c28368df66fd01297aa79e7
https://doi.org/10.1109/waina.2014.127

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Mutilayer perceptrons model for image quality assessment

Autor: D. Dordevic, Dragan Kukolj, M. Drazic, Maja Pokric, I. Ostojic

Publikováno v: 2013 21st Telecommunications Forum Telfor (TELFOR).

This paper presents an evaluation of the image quality using a nonlinear model based on Neural Network, more accurate Multilayer Perceptron. The main objective of estimation is a subjective rating of image quality with the help of the so-called Mean

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec81c9ab41fd4b81db6df89e038f9200
https://doi.org/10.1109/telfor.2013.6716342

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Technology matching of the patent documents using clustering algorithms

Autor: Maja Pokric, Dragan Kukolj, Zeljko Tekic, Sanja Manojlovic, Milana Vitas, M. Drazic

Publikováno v: 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).

This paper analyzes the accuracy of different clustering algorithms to handle different parts of the patent documents. The algorithms are part of the software package which is used as a tool for business intelligence purposes. The tool assembles pate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51eaf3144dfe1dd73185e7b1b47ec0f6
https://doi.org/10.1109/cinti.2013.6705231

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