Volume 19, Issue 1 (January 2022)
Editorial
Mirjana Ivanović, Miloš Radovanović and Vladimir Kurbalija
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Ivanović, M., Radovanović, M., Kurbalija, V.: Editorial. Computer Science and Information Systems, Vol. 19, No. 1, i-iii. (2022), https://doi.org/10.2298/CSIS220100iI
Guest Editorial – Applications of intelligent systems
Amelia Badica, Costin Badica, Vladimir Kurbalija, Ladjel Bellatreche and Mirjana Ivanović
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Badica, A., Badica, C., Kurbalija, V., Bellatreche, L., Ivanović, M.: Guest Editorial – Applications of intelligent systems. Computer Science and Information Systems, Vol. 19, No. 1, v-vi. (2022), https://doi.org/10.2298/CSIS220100vB
Papers
Teaching Computational Thinking in Primary Schools: Worldwide Trends and Teachers’ Attitudes
Valentina Dagienė, Tatjana Jevsikova, Gabrielė Stupurienė and Anita Juškevičienė
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Dagienė, V., Jevsikova, T., Stupurienė, G., Juškevičienė, A.: Teaching Computational Thinking in Primary Schools: Worldwide Trends and Teachers’ Attitudes. Computer Science and Information Systems, Vol. 19, No. 1, 1-24. (2022), https://doi.org/10.2298/CSIS201215033D
Link quality estimation based on over-sampling and weighted random forest
Linlan Liu, Yi Feng, Shengrong Gao and Jian Shu
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Liu, L., Feng, Y., Gao, S., Shu, J.: Link quality estimation based on over-sampling and weighted random forest. Computer Science and Information Systems, Vol. 19, No. 1, 25-45. (2022), https://doi.org/10.2298/CSIS201218041L
Comparative Analysis of HAR Datasets Using Classification Algorithms
Suvra Nayak, Chhabi Rani Panigrahi, Bibudhendu Pati, Sarmistha Nanda and Meng-Yen Hsieh
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Nayak, S., Panigrahi, C. R., Pati, B., Nanda, S., Hsieh, M.: Comparative Analysis of HAR Datasets Using Classification Algorithms. Computer Science and Information Systems, Vol. 19, No. 1, 47-63. (2022), https://doi.org/10.2298/CSIS201221043N
Distributed Ledger Technology: State-of-the-Art and Current Challenges
Maria Gorbunova, Pavel Masek, Mikhail Komarov and Aleksandr Ometov
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Gorbunova, M., Masek, P., Komarov, M., Ometov, A.: Distributed Ledger Technology: State-of-the-Art and Current Challenges. Computer Science and Information Systems, Vol. 19, No. 1, 65-85. (2022), https://doi.org/10.2298/CSIS210215037G
Entropy-based Network Traffic Anomaly Classification Method Resilient to Deception
Juma Ibrahim and Slavko Gajin
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Ibrahim, J., Gajin, S.: Entropy-based Network Traffic Anomaly Classification Method Resilient to Deception. Computer Science and Information Systems, Vol. 19, No. 1, 87-116. (2022), https://doi.org/10.2298/CSIS201229045I
Scaling industrial applications for the Big Data era
Davor Šutić and Ervin Varga
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Šutić, D., Varga, E.: Scaling industrial applications for the Big Data era. Computer Science and Information Systems, Vol. 19, No. 1, 117-139. (2022), https://doi.org/10.2298/CSIS200531039S
A Graph-based Feature Selection Method for Learning to Rank Using Spectral Clustering for Redundancy Minimization and Biased PageRank for Relevance Analysis
Jen-Yuan Yeh and Cheng-Jung Tsai
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Yeh, J., Tsai, C.: A Graph-based Feature Selection Method for Learning to Rank Using Spectral Clustering for Redundancy Minimization and Biased PageRank for Relevance Analysis. Computer Science and Information Systems, Vol. 19, No. 1, 141-164. (2022), https://doi.org/10.2298/CSIS201220042Y
Deep RNN-Based Network Traffic Classification Scheme in Edge Computing System
Kwihoon Kim, Joohyung Lee, Hyun-Kyo Lim, Se Won Oh and Youn-Hee Han
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Kim, K., Lee, J., Lim, H., Oh, S. W., Han, Y.: Deep RNN-Based Network Traffic Classification Scheme in Edge Computing System. Computer Science and Information Systems, Vol. 19, No. 1, 165-184. (2022), https://doi.org/10.2298/CSIS200424038K
Building of online evaluation system based on socket protocol
Peng Jiang, Kexin Yan, Haijian Chen and Hai Sun
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Jiang, P., Yan, K., Chen, H., Sun, H.: Building of online evaluation system based on socket protocol. Computer Science and Information Systems, Vol. 19, No. 1, 185-204. (2022), https://doi.org/10.2298/CSIS210201047J
Applied Machine Learning in Recognition of DGA Domain Names
Miroslav Štampar and Krešimir Fertalj
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Štampar, M., Fertalj, K.: Applied Machine Learning in Recognition of DGA Domain Names. Computer Science and Information Systems, Vol. 19, No. 1, 205-227. (2022), https://doi.org/10.2298/CSIS210104046S
Semantic Web Based Platform for the Harmonization of Teacher Education Curricula
Milinko Mandić
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Mandić, M.: Semantic Web Based Platform for the Harmonization of Teacher Education Curricula. Computer Science and Information Systems, Vol. 19, No. 1, 229-250. (2022), https://doi.org/10.2298/CSIS210207050M
How MCDM Method and the Number of Comparisons Influence the Priority Vector
Zorica Srđević, Bojan Srđević, Senka Ždero and Milica Ilić
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Srđević, Z., Srđević, B., Ždero, S., Ilić, M.: How MCDM Method and the Number of Comparisons Influence the Priority Vector. Computer Science and Information Systems, Vol. 19, No. 1, 251-275. (2022), https://doi.org/10.2298/CSIS210410051S
Explainable Information Retrieval using Deep Learning for Medical images
Apoorva Singh, Husanbir Singh Pannu and Avleen Malhi
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Singh, A., Pannu, H. S., Malhi, A.: Explainable Information Retrieval using Deep Learning for Medical images. Computer Science and Information Systems, Vol. 19, No. 1, 277-307. (2022), https://doi.org/10.2298/CSIS201030049S
RICNN: A ResNet&Inception Convolutional Neural Network for Intrusion Detection of Abnormal Traffic
Benhui Xia, Dezhi Han, Ximing Yin and Na Gao
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Xia, B., Han, D., Yin, X., Gao, N.: RICNN: A ResNet&Inception Convolutional Neural Network for Intrusion Detection of Abnormal Traffic. Computer Science and Information Systems, Vol. 19, No. 1, 309-326. (2022), https://doi.org/10.2298/CSIS210617055X
Special Section: Applications of intelligent systems
Hyper-parameter Optimization of Convolutional Neural Networks for Classifying COVID-19 X-ray Images
Grega Vrbančič, Špela Pečnik and Vili Podgorelec
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Vrbančič, G., Pečnik, Š., Podgorelec, V.: Hyper-parameter Optimization of Convolutional Neural Networks for Classifying COVID-19 X-ray Images. Computer Science and Information Systems, Vol. 19, No. 1, 327-352. (2022), https://doi.org/10.2298/CSIS210209056V
A Fast Non-dominated Sorting Multi-objective Symbiotic Organism Search Algorithm for Energy Efficient Locomotion of Snake Robot
Yesim Aysel Baysal and Ismail Hakki Altas
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Baysal, Y. A., Altas, I. H.: A Fast Non-dominated Sorting Multi-objective Symbiotic Organism Search Algorithm for Energy Efficient Locomotion of Snake Robot. Computer Science and Information Systems, Vol. 19, No. 1, 353-378. (2022), https://doi.org/10.2298/CSIS210222067B
On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies
Daniele Di Sarli, Claudio Gallicchio and Alessio Micheli
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Sarli, D. D., Gallicchio, C., Micheli, A.: On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Computer Science and Information Systems, Vol. 19, No. 1, 379-396. (2022), https://doi.org/10.2298/CSIS210218063D
A Comparison of Deep Learning Algorithms on Image Data for Detecting Floodwater on Roadways
Salih Sarp, Murat Kuzlu, Yanxiao Zhao, Mecit Cetin and Ozgur Guler
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Sarp, S., Kuzlu, M., Zhao, Y., Cetin, M., Guler, O.: A Comparison of Deep Learning Algorithms on Image Data for Detecting Floodwater on Roadways. Computer Science and Information Systems, Vol. 19, No. 1, 397-414. (2022), https://doi.org/10.2298/CSIS210313058S
An Approach for Selecting Countermeasures against Harmful Information based on Uncertainty Management
Igor Kotenko, Igor Saenko, Igor Parashchuk and Elena Doynikova
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Kotenko, I., Saenko, I., Parashchuk, I., Doynikova, E.: An Approach for Selecting Countermeasures against Harmful Information based on Uncertainty Management. Computer Science and Information Systems, Vol. 19, No. 1, 415433. (2022), https://doi.org/10.2298/CSIS210211057K
An Effective Method for Determining Consensus in Large Collectives
Dai Tho Dang, Thanh Ngo Nguyen and Dosam Hwang
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Dang, D. T., Nguyen, T. N., Hwang, D.: An Effective Method for Determining Consensus in Large Collectives. Computer Science and Information Systems, Vol. 19, No. 1, 435-453. (2022), https://doi.org/10.2298/CSIS210314062D
Automatic Derivation of the Initial Conceptual Database Model from a Set of Business Process Models
Drazen Brdjanin, Aleksandar Vukotic, Danijela Banjac, Goran Banjac and Slavko Maric
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Brdjanin, D., Vukotic, A., Banjac, D., Banjac, G., Maric, S.: Automatic Derivation of the Initial Conceptual Database Model from a Set of Business Process Models. Computer Science and Information Systems, Vol. 19, No. 1, 455-493. (2022), https://doi.org/10.2298/CSIS210423066B
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