Zobrazeno 1 - 10
of 13
pro vyhledávání: '"János M. Szalai-Gindl"'
Autor:
Peter Vaderna, László Dobos, Dániel Varga, Bence Formanek, János M. Szalai-Gindl, Sándor Laki
Publikováno v:
IEEE Access, Vol 9, Pp 76894-76907 (2021)
LIDAR and depth cameras have gone through a profound technological evolution, making large-scale recording of 3D point cloud data possible which raises new challenges for data processing. Most of the existing 3D point cloud processing methods were de
Publikováno v:
Acta Electrotechnica et Informatica, Vol 20, Iss 2, Pp 19-26 (2020)
In our previous paper, we showed the M-tree index [7] using GiST in the PostgreSQL database. In this paper, we present that result and we extend that with some preliminary experimental results with other indexes. We compare the M-tree index with the
Publikováno v:
New Trends in Database and Information Systems ISBN: 9783030850814
ADBIS (Short Papers)
ADBIS (Short Papers)
Nowadays, depth data has an important role in many applications. The sensors which can capture depth data became essential parts of autonomous vehicles. These sensors record a huge amount of 3D data (point clouds with x, y, and z coordinates). Furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29a2790342cc7ebb251ae1e7b1354bf8
https://doi.org/10.1007/978-3-030-85082-1_29
https://doi.org/10.1007/978-3-030-85082-1_29
Autor:
László Dobos, Bence Formanek, Sándor Laki, Dániel Varga, János M. Szalai-Gindl, Peter Vaderna
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030414030
ACPR (1)
ACPR (1)
Nowadays, three dimensional point cloud processing plays a very important role in a wide range of areas: autonomous driving, robotics, cartography, etc. Three dimensional point cloud registration pipelines have high computational complexity, mainly b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76dae4955d50ec78e456af1cb0428728
https://doi.org/10.1007/978-3-030-41404-7_35
https://doi.org/10.1007/978-3-030-41404-7_35
Autor:
János M. Szalai-Gindl, László Dobos, Thomas J. Loredo, Tamás Budavári, István Csabai, Brandon C. Kelly
Publikováno v:
Astronomy and Computing. 25:247-256
We describe a computational framework for hierarchical Bayesian inference with simple (typically single-plate) parametric graphical models that uses graphics processing units (GPUs) to accelerate computations, enabling deployment on very large datase
Publikováno v:
2019 IEEE 15th International Scientific Conference on Informatics.
Several index structures are competing for efficient operations on various types of data, but there are some forms of information that cannot fit into the existing models, because by forcing them into one of the currently available representations th
Autor:
Nicole Silvester, Frank Møller Aarestrup, Sam Holt, Martin Christen Frølund Thomsen, Nadim Rahman, Nima Pakseresht, Marion Koopmans, Dávid Visontai, Peter W. Harrison, José Cisneros, Suran Jayathilaka, Clara Amid, Lukasz D. Dynovski, Jeffrey Edward Skiby, Rolf Sommer Kaas, Abdulrahman Hussein, Dirk Höper, Carolina dos S. Ribeiro, George B. Haringhuizen, Ole Lund, Guy Cochrane, Matthew Cotten, Camilla Hundahl, Rasko Leinonen, Blaise T. F. Alako, Surbhi Malhotra-Kumar, Ariane Belka, János M. Szalai-Gindl, István Csabai, David F. Nieuwenhuijse, Basil Britto Xavier, József Stéger, Bálint Ármin Pataki
Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0284667553b4b708097e30dec902769c
Autor:
Marion Koopmans, Dávid Visontai, Frank Møller Aarestrup, Rene S. Hendriksen, János M. Szalai-Gindl, Anna Medgyes-Horváth, Orsolya Pipek, József Stéger, István Csabai, László Dobos, Rolf Sommer Kaas
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Pipek, O A, Medgyes-Horváth, A, Dobos, L, Stéger, J, Szalai-Gindl, J, Visontai, D, Kaas, R S, Koopmans, M, Hendriksen, R S, Møller Aarestrup, F & Csabai, I 2019, ' Worldwide human mitochondrial haplogroup distribution from urban sewage ', Scientific Reports, vol. 9, no. 1, 11624 . https://doi.org/10.1038/s41598-019-48093-5
Scientific Reports, 9:11624. Nature Publishing Group
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Pipek, O A, Medgyes-Horváth, A, Dobos, L, Stéger, J, Szalai-Gindl, J, Visontai, D, Kaas, R S, Koopmans, M, Hendriksen, R S, Møller Aarestrup, F & Csabai, I 2019, ' Worldwide human mitochondrial haplogroup distribution from urban sewage ', Scientific Reports, vol. 9, no. 1, 11624 . https://doi.org/10.1038/s41598-019-48093-5
Scientific Reports, 9:11624. Nature Publishing Group
Community level genetic information can be essential to direct health measures and study demographic tendencies but is subject to considerable ethical and legal challenges. These concerns become less pronounced when analyzing urban sewage samples, wh
Autor:
Martin Christen Frølund Thomsen, Matthew Cotten, Peter W. Harrison, David F. Nieuwenhuijse, Simone M. Cacciò, Ariane Belka, Clara Amid, Surbhi Malhotra-Kumar, Annelies Kroneman, Frank Møller Aarestrup, Sam Holt, Rasko Leinonen, István Csabai, Xin Liu, Lukasz D. Dynovski, Basil Britto Xavier, Nadim Rahman, José Cisneros, József Stéger, Nicole Silvester, Ole Lund, Abdulrahman Hussein, János M. Szalai-Gindl, Camilla Hundahl, Carolina dos S. Ribeiro, Rolf Sommer Kaas, George B. Haringhuizen, Blaise T. F. Alako, Nima Pakseresht, Jeffrey Edward Skiby, Dirk Höper, Guy Cochrane, Dennis Schmitz, Bálint Ármin Pataki, Marion Koopmans, Dávid Visontai, Suran Jayathilaka
Publikováno v:
Database
Database : the journal of biological databases and curation, 2019. Oxford University Press
Amid, C, Pakseresht, N, Silvester, N, Jayathilaka, S, Lund, O, Dynovski, L D, Pataki, B, Visontai, D, Xavier, B B, Alako, B T F, Belka, A, Cisneros, J L B, Cotten, M, Haringhuizen, G B, Harrison, P W, Höper, D, Holt, S, Hundahl, C, Hussein, A, Kaas, R S, Liu, X, Leinonen, R, Malhotra-Kumar, S, Nieuwenhuijse, D F, Rahman, N, Dos S Ribeiro, C, Skiby, J E, Schmitz, D, Stéger, J, Szalai-Gindl, J M, Thomsen, M C F, Cacciò, S M, Csabai, I, Kroneman, A, Koopmans, M, Aarestrup, F M & Cochrane, G 2019, ' The COMPARE Data Hubs ', Database : the journal of biological databases and curation, vol. 2019, baz136, pp. 1-14 . https://doi.org/10.1093/database/baz136
Database: The Journal of Biological Databases and Curation
Database : the journal of biological databases and curation, 2019. Oxford University Press
Amid, C, Pakseresht, N, Silvester, N, Jayathilaka, S, Lund, O, Dynovski, L D, Pataki, B, Visontai, D, Xavier, B B, Alako, B T F, Belka, A, Cisneros, J L B, Cotten, M, Haringhuizen, G B, Harrison, P W, Höper, D, Holt, S, Hundahl, C, Hussein, A, Kaas, R S, Liu, X, Leinonen, R, Malhotra-Kumar, S, Nieuwenhuijse, D F, Rahman, N, Dos S Ribeiro, C, Skiby, J E, Schmitz, D, Stéger, J, Szalai-Gindl, J M, Thomsen, M C F, Cacciò, S M, Csabai, I, Kroneman, A, Koopmans, M, Aarestrup, F M & Cochrane, G 2019, ' The COMPARE Data Hubs ', Database : the journal of biological databases and curation, vol. 2019, baz136, pp. 1-14 . https://doi.org/10.1093/database/baz136
Database: The Journal of Biological Databases and Curation
Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencie
Publikováno v:
New Knowledge in Information Systems and Technologies-Volume 2
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-New Knowledge in Information Systems and Technologies
Advances in Intelligent Systems and Computing ISBN: 9783030161835
WorldCIST (2)
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-New Knowledge in Information Systems and Technologies
Advances in Intelligent Systems and Computing ISBN: 9783030161835
WorldCIST (2)
Several challenges are related to metagenomics, one of which is the data management. A related central concept is k-mer which means a possible subsequence of length k from a DNA (sub)sequence. In this work, the focus is on indexing k-mers and support