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Your search keyword '"Kobielnik, Martyna"' showing total 12 results
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12 results on '"Kobielnik, Martyna"'

2. Semantic Segmentation Neural Network in Automatic Weapon Detection

Author

Wieczorek, Michał, Siłka, Jakub, Kobielnik, Martyna, Woźniak, Marcin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor

Published
2023
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3. BiLSTM Deep Learning Model for Heart Problems Detection

Author

Siłka, Jakub, Wieczorek, Michał, Kobielnik, Martyna, Woźniak, Marcin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor

Published
2023
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7. Time to Buffer Overflow in a Queueing Model with Working Vacation Policy

Author

Kempa, Wojciech M., Kobielnik, Martyna, Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Gaj, Piotr, editor, Sawicki, Michał, editor, Suchacka, Grażyna, editor, and Kwiecień, Andrzej, editor

Published
2018
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9. Transient Solution for Queue-Size Distribution in a Certain Finite-Buffer Model with Server Working Vacations

Author

Kempa, Wojciech M., Kobielnik, Martyna, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Dregvaite, Giedre, editor, and Damasevicius, Robertas, editor

Published
2016
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11. BBNSF: Blockchain-Based Novel Secure Framework Using RP 2 -RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems.

Author

Kumar, Mohit, Mukherjee, Priya, Verma, Sahil, Kavita, Kaur, Maninder, Singh, S., Kobielnik, Martyna, Woźniak, Marcin, Shafi, Jana, and Ijaz, Muhammad Fazal

Subjects
RSA algorithm, FEATURE selection, INTERNET of things, BLOCKCHAINS, PUBLIC key cryptography, DATA warehousing, MATHEMATICAL optimization
Abstract

The wearable healthcare equipment is primarily designed to alert patients of any specific health conditions or to act as a useful tool for treatment or follow-up. With the growth of technologies and connectivity, the security of these devices has become a growing concern. The lack of security awareness amongst novice users and the risk of several intermediary attacks for accessing health information severely endangers the use of IoT-enabled healthcare systems. In this paper, a blockchain-based secure data storage system is proposed along with a user authentication and health status prediction system. Firstly, this work utilizes reversed public-private keys combined Rivest–Shamir–Adleman (RP2-RSA) algorithm for providing security. Secondly, feature selection is completed by employing the correlation factor-induced salp swarm optimization algorithm (CF-SSOA). Finally, health status classification is performed using advanced weight initialization adapted SignReLU activation function-based artificial neural network (ASR-ANN) which classifies the status as normal and abnormal. Meanwhile, the abnormal measures are stored in the corresponding patient blockchain. Here, blockchain technology is used to store medical data securely for further analysis. The proposed model has achieved an accuracy of 95.893% and is validated by comparing it with other baseline techniques. On the security front, the proposed RP2-RSA attains a 96.123% security level. [ABSTRACT FROM AUTHOR]

Published
2022
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