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ORCIDZoltan Juhasz
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Journal Articles
- 2023
[j10]Zeyu Wang
, Zoltan Juhasz:
Efficient GPU implementation of the multivariate empirical mode decomposition algorithm. J. Comput. Sci. 74: 102180 (2023)- [j9]Zeyu Wang, Zoltan Juhasz:
GPU Implementation of the Improved CEEMDAN Algorithm for Fast and Efficient EEG Time-Frequency Analysis. Sensors 23(20): 8654 (2023) - 2021
- [j8]Zoltan Juhasz:
Quantitative cost comparison of on-premise and cloud infrastructure based EEG data processing. Clust. Comput. 24(2): 625-641 (2021) - [j7]Zoltan Juhasz, Ján Durian, Aranka Derzsi, Stefan Matejcík, Zoltán Donkó, Peter Hartmann:
Efficient GPU implementation of the Particle-in-Cell/Monte-Carlo collisions method for 1D simulation of low-pressure capacitively coupled plasmas. Comput. Phys. Commun. 263: 107913 (2021) - 2016
- [j6]Zoltan Juhasz, György Kozmann:
A GPU-based Soft Real-Time System for Simultaneous EEG Processing and Visualization. Scalable Comput. Pract. Exp. 17(2): 61-78 (2016) - 2009
- [j5]Szabolcs Póta, Gergely Sipos, Zoltán Juhász, Péter Kacsuk:
Parallel program execution support in the JGrid system. Int. J. Comput. Sci. Eng. 4(3): 213-220 (2009) - 2007
- [j4]Zoltán Juhász:
Analysis of Melody Roots in Hungarian Folk Music Using Self-Organizing Maps with Adaptively Weighted Dynamic Time Warping. Appl. Artif. Intell. 21(1): 35-55 (2007) - 2006
- [j3]Zoltan Juhasz, Gábor Bognár, Krisztian Kuntner, Akos Pasztory, Szabolcs Pota:
Remote Engineering and Virtual Instrumentation Using Jini Technology. Int. J. Online Eng. 2(3) (2006) - 2005
- [j2]Zoltan Juhasz, Arpad Andics, Krisztian Kuntner, Szabolcs Pota:
Towards a Robust and Fault-Tolerant Multicast Discovery Architecture for Global Computing Grids. Scalable Comput. Pract. Exp. 6(2) (2005) - 1999
- [j1]Zoltan Juhasz:
Using spreadsheets as a simple and effective teaching tool for predicting and visualizing parallel program performance. ACM SIGCSE Bull. 31(2): 51-54 (1999)
Conference and Workshop Papers
- 2023
- [c28]Zeyu Wang, Zoltan Juhasz:
Massively Parallel EEG Algorithms for Pre-exascale Architectures. Euro-Par Workshops 2023: 290-295 - 2022
- [c27]Zeyu Wang, Zoltán Nagy, Zoltan Juhasz:
On the Benefits of Empirical Mode Decomposition in Spatio-temporal EEG Analysis. MIPRO 2022: 333-338 - 2019
- [c26]G. Benko, Zoltan Juhasz:
GPU implementation of the FastICA algorithm. MIPRO 2019: 196-199 - [c25]Zoltan Juhasz, Mohamed F. Issa:
EEG Based Imaging of Stroke Location, Extent and Progress of Recovery Using a GPU Architecture. MIPRO 2019: 369-374 - 2017
- [c24]Zoltan Juhasz:
Highly parallel online bioelectrical signal processing on GPU architecture. MIPRO 2017: 340-346 - 2015
- [c23]Zoltan Juhasz, György Kozmann:
A GPU-based simultaneous real-time EEG processing and visualization system for brain imaging applications. MIPRO 2015: 299-304 - 2014
- [c22]András Arató, Norbert Markus, Zoltan Juhasz:
Teaching Morse Language to a Deaf-Blind Person for Reading and Writing SMS on an Ordinary Vibrating Smartphone. ICCHP (2) 2014: 393-396 - 2012
- [c21]András Arató, Norbert Markus, Zoltan Juhasz:
Speaking and Understanding Morse Language, Speech Technology and Autism. ICCHP (2) 2012: 311-314 - [c20]Norbert Markus, Szabolcs Malik, Zoltan Juhasz, András Arató:
Accessibility for the Blind on an Open-Source Mobile Platform - MObile Slate Talker (MOST) for Android. ICCHP (2) 2012: 599-606 - 2011
- [c19]Zoltán Juhász:
Low Dimensional Visualization of Folk Music Systems Using the Self Organizing Cloud. ISMIR 2011: 299-304 - 2010
- [c18]Norbert Markus, András Arató, Zoltán Juhász, Gábor Bognár, László Késmárki:
MOST-NNG: An Accessible GPS Navigation Application Integrated into the MObile Slate Talker (MOST) for the Blind. ICCHP (2) 2010: 247-254 - 2009
- [c17]Zoltán Juhász:
Motive Identification in 22 Folksong Corpora Using Dynamic Time Warping and Self Organizing Maps. ISMIR 2009: 171-176 - 2008
- [c16]Frank J. Seinstra, Nicolás Guil, Zoltan Juhasz, Simon Wilson:
Topic 11: Distributed and High-Performance Multimedia. Euro-Par 2008: 844-845 - [c15]Norbert Markus, Zoltan Juhasz, Gábor Bognár, András Arató:
How Can Java Be Made Blind-Friendly. ICCHP 2008: 526-533 - 2007
- [c14]Zoltán Juhász, Ádám Sipos, Zoltán Porkoláb:
Implementation of a Finite State Machine with Active Libraries in C++. GTTSE 2007: 474-488 - 2006
- [c13]Szabolcs Pota, Zoltan Juhasz:
Supporting Interactive Computational Science Applications Within the JGrid Infrastructure. International Conference on Computational Science (1) 2006: 830-833 - [c12]Zoltan Juhasz, András Arató, Gábor Bognár, Laszlo Buday, Gergely Eberhardt, Norbert Markus, Emil Mógor, Zoltán Nagy, Teréz Vaspöri:
Usability Evaluation of the MOST Mobile Assistant (SlatTalker). ICCHP 2006: 1055-1062 - [c11]Szabolcs Pota, Zoltan Juhasz:
High-level execution and communication support for parallel grid applications in JGrid. IPDPS 2006 - [c10]Szabolcs Pota, Zoltan Juhasz:
The benefits of Java and Jini in the JGrid system. IPDPS 2006 - 2005
- [c9]Peihan Teo, Stephen John Turner, Zoltan Juhasz:
Optimistic Protocol Analysis in a Performance Analyzer and Prediction Tool. PADS 2005: 49-58 - 2004
- [c8]Szabolcs Pota, Gergely Sipos, Zoltan Juhasz, Péter Kacsuk:
Parallel Programm Execution Support in the JGrid System. DAPSYS 2004: 13-20 - [c7]András Arató, Zoltan Juhasz, Paul Blenkhorn, Gareth Evans, Grigori E. Evreinov:
Java-Powered Braille Slate Talker. ICCHP 2004: 506-513 - 2002
- [c6]Mark Baker, Zoltan Juhasz:
Jini and the Grid. CCGRID 2002: 2 - [c5]Zoltan Juhasz, Prasenjit Paul:
Scalability Analysis of the Contract Net Protocol. CCGRID 2002: 346-347 - [c4]Zoltan Juhasz, Arpad Andics, Szabolcs Pota:
JM: A Jini Framework for Global Computing. CCGRID 2002: 395-400 - [c3]Zoltan Juhasz:
Making Grid Computing Mainstream. PVM/MPI 2002: 8 - 2000
- [c2]Zoltan Juhasz, László Késmárki:
A Jini-Based Prototype Metacomputing Framework (Research Note). Euro-Par 2000: 1171-1174 - 1996
- [c1]Zoltan Juhasz, Danny Crookes:
A PVM Implementation of a Portable Parallel Image Processing Library. PVM 1996: 188-196
Editorship
- 2004
- [e1]Zoltan Juhasz, Péter Kacsuk, Dieter Kranzlmüller:
Distributed and Parallel Systems: Cluster and Grid Computing (DAPSYS 2004, Austrian-Hungarian Workshop on Distributed and Parallel Systems, Budapest, Hungary September 19-22, 2004). Kluwer International Series in Engineering and Computer Science 777, Springer 2004, ISBN 0-387-23094-7 [contents]
Coauthor Index
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