Sergey S. Krivenko

According to our database, Sergey S. Krivenko authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Automated Software Tool for Compressing Optical Images with Required Output Quality.

Sergey S. Krivenko, Alexander N. Zemliachenko, Vladimir Lukin, Alexander A. Zelensky

CoRR, 2024

2023

Blind denoising of dental X-ray images.

Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022

Automatic recognition of congestive heart failure signs in heart rate variability data.

A. A. Pulavskyi, Sergey S. Krivenko, Stanislav A. Krivenko, I. V. Linskiy, M. F. Posokhov, Liudmyla S. Kryvenko

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder.

Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko, Vladimir V. Lukin

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

On Image Complexity in Viewpoint of Image Processing Performance.

Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor O. Makarichev

Proceedings of the 3rd International Workshop on Intelligent Information Technologies & Systems of Information Security, 2022

2021

Reduction of Spatially Correlated Speckle in Textured SAR Images.

Oleksii S. Rubel, Vladimir V. Lukin, Sergey S. Krivenko, Vladimir Pavlikov, Simeon Zhyla, Eduard Tserne

Int. J. Comput., 2021

Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection.

Sergey S. Krivenko, A. A. Pulavskyi, Liudmyla S. Kryvenko, O. V. Krylova, Stanislaw A. Krivenko

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Lossy Compression of Multichannel Remote Sensing Images with Quality Control.

Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian

Remote. Sens., 2020

Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG.

A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

Adaptive two-step procedure of providing desired visual quality of compressed image.

Fangfang Li, Sergey S. Krivenko, Vladimir Lukin

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality.

Fangfang Li, Sergey S. Krivenko, Vladimir V. Lukin

Proceedings of the 11th IEEE International Conference on Dependable Systems, 2020

2019

Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression.

A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko

Proceedings of the 8th Mediterranean Conference on Embedded Computing, 2019

Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses.

Alina S. Nechyporenko, Sergey S. Krivenko, Victoriia Alekseeva, Andrii Lupyr, Nadiia Yurevych, R. S. Nazaryan, V. V. Gargin

Proceedings of the 8th Mediterranean Conference on Embedded Computing, 2019

2018

Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability.

Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko

Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

2017

Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things.

Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko

Proceedings of the 6th Mediterranean Conference on Embedded Computing, 2017

2013

Analysis of classification accuracy for pre-filtered multichannel remote sensing data.

Vladimir V. Lukin, Sergey K. Abramov, Sergey S. Krivenko, Andrey A. Kurekin, Oleksiy B. Pogrebnyak

Expert Syst. Appl., 2013

Prediction of filtering efficiency for DCT-based image denoising.

Sergey K. Abramov, Sergey S. Krivenko, Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Mikhail Chobanu

Proceedings of the 2nd Mediterranean Conference on Embedded Computing, 2013

2010

Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study.

Nikolay N. Ponomarenko, Sergey S. Krivenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola

EURASIP J. Adv. Signal Process., 2010

2008

Image filter effectiveness characterization based on HVS.

Vladimir V. Lukin, Nikolay N. Ponomarenko, Sergey S. Krivenko, Karen O. Egiazarian, Jaakko Astola

Proceedings of the Computational Imaging VI, 2008