Zobrazeno 1 - 10 of 24 pro vyhledávání: '"Gergo, Pinter"'
1
Report
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
Autor: Nadai, Laszlo, Imre, Felde, Ardabili, Sina, Gundoshmian, Tarahom Mesri, Gergo, Pinter, Mosavi, Amir
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace. Tuning the combine harvesters and improving the machine performance can dramatically minimize the wast
Externí odkaz: http://arxiv.org/abs/2002.11041
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2
Akademický článek
A narrative review of adaptive testing and its application to medical education [version 1; peer review: 2 approved]
Autor: Gergo Pinter, José M. Pêgo, Daniel Zahra, Iain M. Robinson, Thomas Gale, Steven A. Burr, Paul Millin, Jolanta Kisielewska
Publikováno v: MedEdPublish, Vol 13 (2023)
Adaptive testing has a long but largely unrecognized history. The advent of computer-based testing has created new opportunities to incorporate adaptive testing into conventional programmes of study. Relatively recently software has been developed th
Externí odkaz: https://doaj.org/article/ccfc82afd4b34a8aaa89c52ecca98c5a
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3
Akademický článek
Chlorosulfuric acid-assisted production of functional 2D materials
Autor: Mohsen Moazzami Gudarzi, Maryana Asaad, Boyang Mao, Gergo Pinter, Jianqiang Guo, Matthew Smith, Xiangli Zhong, Thanasis Georgiou, Roman Gorbachev, Sarah J. Haigh, Kostya S. Novoselov, Andrey V. Kretinin
Publikováno v: npj 2D Materials and Applications, Vol 5, Iss 1, Pp 1-8 (2021)
Abstract The use of two-dimensional materials in bulk functional applications requires the ability to fabricate defect-free 2D sheets with large aspect ratios. Despite huge research efforts, current bulk exfoliation methods require a compromise betwe
Externí odkaz: https://doaj.org/article/5da1fc6246c34e889756f1ae69183960
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5
Akademický článek
Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach
Autor: Gergo Pinter, Amir Mosavi, Imre Felde
Publikováno v: Entropy, Vol 22, Iss 12, p 1421 (2020)
Advancement of accurate models for predicting real estate price is of utmost importance for urban development and several critical economic functions. Due to the significant uncertainties and dynamic variables, modeling real estate has been studied a
Externí odkaz: https://doaj.org/article/8c17a6452af44b16b4e5a41500c8977a
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6
Akademický článek
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Autor: Gergo Pinter, Imre Felde, Amir Mosavi, Pedram Ghamisi, Richard Gloaguen
Publikováno v: Mathematics, Vol 8, Iss 6, p 890 (2020)
Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate prediction models is of utmost importance to take proper actions. Due to
Externí odkaz: https://doaj.org/article/0d70f7a899864adbae1bb08d5fe9fb85
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7
Evaluating the Socioeconomic Status of a Large Social Event Attendees
Autor: Kerecsen Szabo, Gergo Pinter, Imre Felde
In this study, Call Detail Records (CDRs) from downtown Budapest were analysed, focusing on a large-scale event in August 2014. The attendees of the main event of the Hungarian State Foundation Day have been analysed based on their Socioeconomic Stat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b5de0a014f39d33391e3f22df8b1e17
http://arxiv.org/abs/2205.14705
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8
Sustainable ITO films with reduced indium content deposited by AACVD
Autor: Tianlei Ma, Mohamed Missous, Gergo Pinter, Xiangli Zhong, Ben Spencer, Andrew. G. Thomas, David. J. Lewis
Publikováno v: Ma, T, Missous, M, Pinter, G, Zhong, X, Spencer, B, Thomas, A G & Lewis, D J 2021, ' Sustainable ITO films with reduced indium content deposited by AACVD ', Journal of Materials Chemistry C, vol. 10, 579-589 . https://doi.org/10.1039/D1TC04864C
Investigations of novel and high-performance transparent conducting electrodes (TCEs) are required to substitute currently widely used tin-doped indium oxide (ITO) due to the low abundance of indium and constantly increasing demand on ITO in the opto
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb5d00a39c580cdab3bdbdbb6ffa74f6
https://doi.org/10.1039/D1TC04864C
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9
Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach
Autor: Amir Mosavi, Imre Felde, Gergo Pinter
Publikováno v: Entropy
Volume 22
Issue 12
Entropy, Vol 22, Iss 1421, p 1421 (2020)
Advancement of accurate models for predicting real estate price is of utmost importance for urban development and several critical economic functions. Due to the significant uncertainties and dynamic variables, modeling real estate has been studied a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f3dd1993b4bd623c7e3d59fed9f0ca
https://pubmed.ncbi.nlm.nih.gov/33339406
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10
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Autor: Pedram Ghamisi, Amir Mosavi, Imre Felde, Richard Gloaguen, Gergo Pinter
Publikováno v: Mathematics, Vol 8, Iss 890, p 890 (2020)
Mathematics 8(2020)6, 890
Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate prediction models is of utmost importance to take proper actions. Due to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79d30107420da43fe8fd96fa65155210
https://www.mdpi.com/2227-7390/8/6/890
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