S. Tyagi, A. R. Várkonyi-Kóczy, S. Szénási: A Comprehensive Investigation into The Noise Reduction Techniques for Speech. In IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI 2023) Proceedings. pp. 207-212, 2023. ISBN 979-8-3503-1986-6 link Abstract: There has been a ton of study on the use of machine learning for speech processing applications, [...]
A. Pintér, S. Szénási: GPU Acceleration of Longest Common Substrings Algorithm. In IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI 2023) Proceedings. pp. 81-84, 2023. ISBN 979-8-3503-1986-6 ljnk Abstract: The Longest Common Substring of two strings is a character sequence that appears in both texts and is the longest of these. The [...]
A. Atinga, A. R. Várkonyi-Kóczy, J. Tar: Application of Abstract Rotations for Forecasting the Signals of Nonlinear Dynamic Systems. In IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC 2022) Proceedings. pp. 389-394, 2023. ISBN 978-1-6654-8177-9 link Abstract: Occurrence of delayed signals is quite general in control technology. In most cases it [...]
K. Saleh, S. Szénási, Z. Vámossy: Generative Adversarial Network for Overcoming Occlusion in Images: A Survey. ALGORITHMS Vol. 16, No. 3, Article No. 175, pp. 1-32, 2023. ISSN 1999-4893 link Abstract: Although current computer vision systems are closer to the human intelligence when it comes to comprehending the visible world than previously, their performance is hindered when objects [...]
M. D. Kucarov, A. R. Várkonyi-Kóczy, B. Molnár, M. Kozlovszky: Single Cell Position Determination and Transformation From Static High-resolution Digital Image To Laser-microdissector Coordinate System Using Image Processing Techniques. In IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI 2023) Proceedings. pp. 195-201, 2023. ISBN 979-8-3503-2110-4 link Abstract: Such laser microdissection design is [...]
R. Fröhlich, L. Tamas, Z. Kato: Absolute Pose Estimation of Central Cameras Using Planar Regions. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol 43, No. 2, pp. 377-391, 2021. ISSN 0162-8828 link Abstract: A novel method is proposed for the absolute pose estimation of a central 2D camera with respect to 3D depth data [...]
B. Tusor, S. Gubo, A. R. Várkonyi-Kóczy: A Personal Home Office Helper. In IEEE International Symposium on Medical Measurements and Applications (MeMeA 2023) Proceedings. pp. 1-6, 2023. ISBN 978-1-6654-9385-7 link Abstract: In recent decades, the sedentary lifestyle has become more and more widespread, both in home life and office work. During the COVID-19 pandemic, working [...]
H. K. Naji, H. K. Fatlawi, A. J. M. Karkar, N. Goga, A. Kiss, A. T. Al-Rawi: Prediction of COVID-19 Patients Recovery using Ensemble Machine Learning and Vital Signs Data Collected by Novel Wearable Device. International Journal of Advanced Computer Science and Applications Vol. 13, No. 7, pp. 792-800, 2022. ISSN 2158-107X link Abstract: During [...]
H. K. Fatlawi, A. Kiss: Similarity-Based Adaptive Window for Improving Classification of Epileptic Seizures with Imbalance EEG Data Stream. ENTROPY Vol. 24, No. 11, Article No. 1641, pp. 1-22, 2022. ISSN 1099-4300 link Abstract: Data stream mining techniques have recently received increasing research interest, especially in medical data classification. An unbalanced representation of the classification’s [...]
H. K. Fatlawi, A. Kiss: An Adaptive Classification Model for Predicting Epileptic Seizures Using Cloud Computing Service Architecture. APPLIED SCIENCES Vol. 12, No. 7, Article No. 3408, pp. 1-21, 2022. ISSN 2076-3417 link Abstract: Data science techniques have increasing importance in medical data analysis, including detecting and predicting the probability of contracting a disease. A [...]