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Sergey S. Krivenko
ORCID
Publication Activity (10 Years)
Years Active: 2008-2023
Publications (10 Years): 13
Top Topics
Lossy Compression
Viewpoint
Visual Quality
Remote Sensing
Top Venues
MECO
Image Processing: Algorithms and Systems
IntelITSIS
Remote. Sens.
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Publications
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Mykola Ponomarenko
,
Oleksandr Miroshnichenko
,
Vladimir V. Lukin
,
Sergey S. Krivenko
,
Karen O. Egiazarian
Blind denoising of dental X-ray images.
Image Processing: Algorithms and Systems
(2023)
A. A. Pulavskyi
,
Sergey S. Krivenko
,
Stanislav A. Krivenko
,
I. V. Linskiy
,
M. F. Posokhov
,
Liudmyla S. Kryvenko
Automatic recognition of congestive heart failure signs in heart rate variability data.
MECO
(2022)
Liudmyla S. Kryvenko
,
Olha Krylova
,
Sergey S. Krivenko
,
Vladimir V. Lukin
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder.
MECO
(2022)
Vladimir V. Lukin
,
Sergey S. Krivenko
,
Fangfang Li
,
Sergey Abramov
,
Viktor O. Makarichev
On Image Complexity in Viewpoint of Image Processing Performance.
IntelITSIS
(2022)
Sergey S. Krivenko
,
A. A. Pulavskyi
,
Liudmyla S. Kryvenko
,
O. V. Krylova
,
Sergey A. Krivenko
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection.
CinC
(2021)
A. A. Pulavskyi
,
Sergey S. Krivenko
,
Liudmyla S. Kryvenko
Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG.
MECO
(2020)
Fangfang Li
,
Sergey S. Krivenko
,
Vladimir V. Lukin
A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality.
DESSERT
(2020)
Fangfang Li
,
Sergey S. Krivenko
,
Vladimir Lukin
Adaptive two-step procedure of providing desired visual quality of compressed image.
EITCE
(2020)
Vladimir V. Lukin
,
Irina V. Vasilyeva
,
Sergey S. Krivenko
,
Fangfang Li
,
Sergey K. Abramov
,
Oleksii S. Rubel
,
Benoît Vozel
,
Kacem Chehdi
,
Karen O. Egiazarian
Lossy Compression of Multichannel Remote Sensing Images with Quality Control.
Remote. Sens.
12 (22) (2020)
Alina S. Nechyporenko
,
Sergey S. Krivenko
,
Victoriia Alekseeva
,
Andrii Lupyr
,
Nadiia Yurevych
,
R. S. Nazaryan
,
V. V. Gargin
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses.
MECO
(2019)
A. A. Pulavskyi
,
Sergey S. Krivenko
,
Liudmyla S. Kryvenko
Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression.
MECO
(2019)
Anatolii A. Pulavskyi
,
Sergey S. Krivenko
,
Liudmyla S. Kryvenko
Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability.
MECO
(2018)
Anatolii A. Pulavskyi
,
Sergey S. Krivenko
,
Liudmyla S. Kryvenko
Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things.
MECO
(2017)
Vladimir V. Lukin
,
Sergey K. Abramov
,
Sergey S. Krivenko
,
Andrey A. Kurekin
,
Oleksiy B. Pogrebnyak
Analysis of classification accuracy for pre-filtered multichannel remote sensing data.
Expert Syst. Appl.
40 (16) (2013)
Sergey K. Abramov
,
Sergey S. Krivenko
,
Alexey A. Roenko
,
Vladimir V. Lukin
,
Igor Djurovic
,
Mikhail Chobanu
Prediction of filtering efficiency for DCT-based image denoising.
MECO
(2013)
Nikolay N. Ponomarenko
,
Sergey S. Krivenko
,
Vladimir V. Lukin
,
Karen O. Egiazarian
,
Jaakko Astola
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study.
EURASIP J. Adv. Signal Process.
2010 (2010)
Vladimir V. Lukin
,
Nikolay N. Ponomarenko
,
Sergey S. Krivenko
,
Karen O. Egiazarian
,
Jaakko Astola
Image filter effectiveness characterization based on HVS.
Computational Imaging
(2008)