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Ints Mednieks
Ints Mednieks
Leading researcher, Institute of Electronics and Computer Science
Verified email at edi.lv - Homepage
Title
Cited by
Cited by
Year
JUNO physics and detector
A Abusleme, T Adam, S Ahmad, R Ahmed, S Aiello, M Akram, F An, G An, ...
arXiv preprint arXiv:2104.02565, 2021
1442021
Calibration strategy of the JUNO experiment
A Abusleme, T Adam, S Ahmad, R Ahmed, S Aiello, M Akram, F An, G An, ...
Journal of high energy physics 2021 (3), 1-33, 2021
782021
Tree species identification in mixed Baltic forest using LiDAR and multispectral data
R Dinuls, G Erins, A Lorencs, I Mednieks, J Sinica-Sinavskis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012
652012
Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector
A Abusleme, T Adam, S Ahmad, S Aiello, M Akram, N Ali, FP An, GP An, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
572021
Feasibility and physics potential of detecting 8B solar neutrinos at JUNO
A Abusleme, T Adam, S Ahmad, S Aiello, M Akram, N Ali, F An, G An, ...
Chinese Physics C 45 (2), 023004, 2021
532021
Methods for spectral analysis of nonuniformly sampled signals
I Mednieks
Proc. Workshop Sampling Theory Applicat, 190-193, 1999
341999
The design and sensitivity of JUNO’s scintillator radiopurity pre-detector OSIRIS
A Abusleme, T Adam, S Ahmad, R Ahmed, S Aiello, M Akram, F An, G An, ...
The European Physical Journal C 81 (11), 973, 2021
322021
Measuring low energy atmospheric neutrino spectra with the JUNO detector
A Abusleme
arXiv preprint arXiv:2103.09908, 2021
32*2021
Radioactivity control strategy for the JUNO detector
A Abusleme, T Adam, S Ahmad, R Ahmed, S Aiello, M Akram, F An, Q An, ...
Journal of High Energy Physics 2021 (11), 1-39, 2021
302021
Damping signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment
J Wang, J Liao, W Wang, A Abusleme, T Adam, S Ahmad, R Ahmed, ...
Journal of High Energy Physics 2022 (6), 1-23, 2022
162022
Selection of informative hyperspectral band subsets based on entropy and correlation
A Lorencs, I Mednieks, J Sinica-Sinavskis
International journal of remote sensing 39 (20), 6931-6948, 2018
142018
Introduction to digital alias-free signal processing
I Bilinskis, I Mednieks
Institute of Electronics and Computer Science, Riga, 2001
132001
Fast object detection in digital grayscale images
A Lorencs, I Mednieks, J Siņica-Siņavskis
Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact …, 2009
102009
Melanoma-nevus discrimination based on image statistics in few spectral channels
A Lorencs, J Sinica-Sinavskis, D Jakovels, I Mednieks
Elektronika ir Elektrotechnika 22 (2), 66-72, 2016
92016
Simplified classification of multispectral image fragments
A Lorencs, I Mednieks, J Sinica-Sinavskis
Elektronika ir Elektrotechnika 20 (6), 136-139, 2014
92014
Performance comparison of methods for tree species classification in multispectral images
R Dinuls, A Lorencs, I Mednieks
Elektronika ir Elektrotechnika 111 (5), 119-122, 2011
72011
DASP-Lab System-A demonstration of a new DSP technology
Y Artyukh, I Bilinskis, M Greitans, I Mednieks, A Rybakov
Automatic Control and Computer Sciences 34 (6), 1-16, 2000
72000
Automatic tree species classification from Sentinel-2 images using deficient inventory data
J Sinica-Sinavskis, R Dinuls, J Zarins, I Mednieks
2020 17th Biennial Baltic Electronics Conference (BEC), 1-6, 2020
52020
Automatic identification of individual tree crowns in mixed forests using fusion of lidar and multispectral data
L Gulbe, I Mednieks
Rigas Tehniskas Universitates Zinatniskie Raksti 14, 93, 2013
52013
Tree species classification in mixed Baltic forest
G Erins, A Lorencs, I Mednieks, J Sinica-Sinavskis
2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2011
52011
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