Journal's Facebook pageVolume 23, Issue 2 (April 2026)
Editorial
Mirjana Ivanović, Miloš Radovanović, Vladimir Kurbalija and Ivan Luković
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Ivanović, M., Radovanović, M., Kurbalija, V., Luković, I.: Editorial. Computer Science and Information Systems, Vol. 23, No. 2, i-iii. (2026), https://doi.org/10.2298/CSIS260200iI
Papers
Joint Heart Sound Denoising Using DTCWT and Adaptive Sparsity-assisted Signal Smoothing Algorithm
Jianqiang Hu, Dafeng Shen, Lin Chen, Yu Chen, Shigen Shen and Yan Che
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Hu, J., Shen, D., Chen, L., Chen, Y., Shen, S., Che, Y.: Joint Heart Sound Denoising Using DTCWT and Adaptive Sparsity-assisted Signal Smoothing Algorithm. Computer Science and Information Systems, Vol. 23, No. 2, 687-706. (2026), https://doi.org/10.2298/CSIS250828017H
Transformer Substation Network Disconnection Prediction via Semantic Reasoning with Causal Modeling
Jie Ren, Xiaojun Yao and Hong Chen
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Ren, J., Yao, X., Chen, H.: Transformer Substation Network Disconnection Prediction via Semantic Reasoning with Causal Modeling. Computer Science and Information Systems, Vol. 23, No. 2, 707-728. (2026), https://doi.org/10.2298/CSIS251022018R
YOLO-BDM: An Improved Ship Detection Algorithm Based on YOLOv11n
Fangyuan Xiong, Dezhi Han, Xiang Shen and Manlin Zhu
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Xiong, F., Han, D., Shen, X., Zhu, M.: YOLO-BDM: An Improved Ship Detection Algorithm Based on YOLOv11n. Computer Science and Information Systems, Vol. 23, No. 2, 729-756. (2026), https://doi.org/10.2298/CSIS251018019X
Enhanced ROCKET for the Automated Detection of Epileptic Tonic-Clonic Seizures Using Accelerometer Data
Krisztian Buza, Alexandros Nanopoulos and Noémi Ágnes Varga
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Buza, K., Nanopoulos, A., Varga, N.Á.: Enhanced ROCKET for the Automated Detection of Epileptic Tonic-Clonic Seizures Using Accelerometer Data. Computer Science and Information Systems, Vol. 23, No. 2, 757-774. (2026), https://doi.org/10.2298/CSIS250913020B
Research on Key Technology of Network Information Extraction Oriented to Web Topic Detection for Big Data
Mo Chen
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Chen, M.: Research on Key Technology of Network Information Extraction Oriented to Web Topic Detection for Big Data. Computer Science and Information Systems, Vol. 23, No. 2, 775-800. (2026), https://doi.org/10.2298/CSIS251030023C
Development and Validation of a Few-Shot Rapid Screening Model for Gastrointestinal Cancers Using AGI Large Vision Models
Lijie Liu, Fengjie Yin, Genjian Yang, Qi Li, Siva Li, Teng Pan, Ting Liu, Jin Tang, Ruijie Ming, Yu Song, Xue Feng, Dan Wang, Xingang Zhou, Wenbai Chen and Jinhai Deng
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Liu, L., Yin, F., Yang, G., Li, Q., Li, S., Pan, T., Liu, T., Tang, J., Ming, R., Song, Y., Feng, X., Wang, D., Zhou, X., Chen, W., Deng, J.: Development and Validation of a Few-Shot Rapid Screening Model for Gastrointestinal Cancers Using AGI Large Vision Models. Computer Science and Information Systems, Vol. 23, No. 2, 801-826. (2026), https://doi.org/10.2298/CSIS251130024L
A Pilot Study of Multi-Method Evaluation of Machine Translation in Macedonian
Jana Kuzmanova and Katerina Zdravkova
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Kuzmanova, J., Zdravkova, K.: A Pilot Study of Multi-Method Evaluation of Machine Translation in Macedonian. Computer Science and Information Systems, Vol. 23, No. 2, 827-860. (2026), https://doi.org/10.2298/CSIS250910201K
HAQCCN: A Hybrid Quantum–Classical Convolutional Network with Asymmetric Kernels for Remote Sensing Image Classification
Lianghai Chen, Yuzhen Liu, Yi Lu, Xiaoliang Wang and Huaning Song
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Chen, L., Liu, Y., Lu, Y., Wang, X., Song, H.: HAQCCN: A Hybrid Quantum–Classical Convolutional Network with Asymmetric Kernels for Remote Sensing Image Classification. Computer Science and Information Systems, Vol. 23, No. 2, 861-884. (2026), https://doi.org/10.2298/CSIS251029015C
FPCA: A Fully Constant-Length and Policy Updating Cross Data Domain Access Control for Cloud-Edge Collaborative Environment
Shiwen Zhang, Siwei Wen and Wei Liang
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Zhang, S., Wen, S., Liang, W.: FPCA: A Fully Constant-Length and Policy Updating Cross Data Domain Access Control for Cloud-Edge Collaborative Environment. Computer Science and Information Systems, Vol. 23, No. 2, 885-916. (2026), https://doi.org/10.2298/CSIS260208016Z
A framework for the automated thematic annotation of Open Government Data
Abdul Aziz, Mohsan Ali, Dagoberto José Herrera-Murillo, Maria Ioanna Maratsi, Francisco J. Lopez-Pellicer and Javier Nogueras-Iso
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Aziz, A., Ali, M., Herrera-Murillo, D.J., Maratsi, M.I., Lopez-Pellicer, F.J., Nogueras-Iso, J.: A framework for the automated thematic annotation of Open Government Data. Computer Science and Information Systems, Vol. 23, No. 2, 917-946. (2026), https://doi.org/10.2298/CSIS251029022A
