Anomalous signal recognition algorithm for electronic communication equipment based on improved gradient projection method

[1] Wu, J., Guo, S., Huang, H., Liu, W., & Xiang, Y. (2018). Information and communications technologies for sustainable development goals: state-of-the-art, needs and perspectives. IEEE Communications Surveys & Tutorials, 20(3), 2389-2406. Wu J. Guo S. Huang H. Liu W. Xiang Y. ( 2018 ). Information and communications technologies for sustainable development goals: state-of-the-art, needs and perspectives . IEEE Communications Surveys & Tutorials , 20 ( 3 ), 2389 - 2406 . Search in Google Scholar

[2] Zheng, Y., Hatakka, M., Sahay, S., & Andersson, A. (2018). Conceptualizing development in information and communication technology for development (ICT4D). Information Technology for Development, 24(1), 1-14. Zheng Y. Hatakka M. Sahay S. Andersson A. ( 2018 ). Conceptualizing development in information and communication technology for development (ICT4D) . Information Technology for Development , 24 ( 1 ), 1 - 14 . Search in Google Scholar

[3] Ghavami, S. (2020). Anomaly detection in molecular communications with applications to health monitoring networks. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 6(1), 50-59. Ghavami S. ( 2020 ). Anomaly detection in molecular communications with applications to health monitoring networks . IEEE Transactions on Molecular, Biological and Multi-Scale Communications , 6 ( 1 ), 50 - 59 . Search in Google Scholar

[4] Ajasa, A. A., Shoewu, O., & Nwamina, P. O. (2014). Design and Development of a Mobile Phone Signal Detector. Pacific Journal of Science and Technology, 15(2), 167-172. Ajasa A. A. Shoewu O. Nwamina P. O. ( 2014 ). Design and Development of a Mobile Phone Signal Detector . Pacific Journal of Science and Technology , 15 ( 2 ), 167 - 172 . Search in Google Scholar

[5] Meng, X., Wang, S., Liang, Z., Yao, D., Zhou, J., & Zhang, Y. (2021). Semi-supervised anomaly detection in dynamic communication networks. Information Sciences, 571, 527-542. Meng X. Wang S. Liang Z. Yao D. Zhou J. Zhang Y. ( 2021 ). Semi-supervised anomaly detection in dynamic communication networks . Information Sciences , 571 , 527 - 542 . Search in Google Scholar

[6] Oleiwi, H. W., Mhawi, D. N., & Al-Raweshidy, H. (2022). MLTs-ADCNs: Machine learning techniques for anomaly detection in communication networks. IEEE Access, 10, 91006-91017. Oleiwi H. W. Mhawi D. N. Al-Raweshidy H. ( 2022 ). MLTs-ADCNs: Machine learning techniques for anomaly detection in communication networks . IEEE Access , 10 , 91006 - 91017 . Search in Google Scholar

[7] Fernandes, G., Rodrigues, J. J., Carvalho, L. F., Al-Muhtadi, J. F., & Proença, M. L. (2019). A comprehensive survey on network anomaly detection. Telecommunication Systems, 70, 447-489. Fernandes G. Rodrigues J. J. Carvalho L. F. Al-Muhtadi J. F. Proença M. L. ( 2019 ). A comprehensive survey on network anomaly detection . Telecommunication Systems , 70 , 447 - 489 . Search in Google Scholar

[8] Farsad, N., & Goldsmith, A. (2018). Neural network detection of data sequences in communication systems. IEEE Transactions on Signal Processing, 66(21), 5663-5678. Farsad N. Goldsmith A. ( 2018 ). Neural network detection of data sequences in communication systems . IEEE Transactions on Signal Processing , 66 ( 21 ), 5663 - 5678 . Search in Google Scholar

[9] Yi, X., & Zhong, C. (2020). Deep learning for joint channel estimation and signal detection in OFDM systems. IEEE Communications Letters, 24(12), 2780-2784. Yi X. Zhong C. ( 2020 ). Deep learning for joint channel estimation and signal detection in OFDM systems . IEEE Communications Letters , 24 ( 12 ), 2780 - 2784 . Search in Google Scholar

[10] Baek, M. S., Kwak, S., Jung, J. Y., Kim, H. M., & Choi, D. J. (2019). Implementation methodologies of deep learning-based signal detection for conventional MIMO transmitters. IEEE Transactions on Broadcasting, 65(3), 636-642. Baek M. S. Kwak S. Jung J. Y. Kim H. M. Choi D. J. ( 2019 ). Implementation methodologies of deep learning-based signal detection for conventional MIMO transmitters . IEEE Transactions on Broadcasting , 65 ( 3 ), 636 - 642 . Search in Google Scholar

[11] Liu, C., Wei, Z., Ng, D. W. K., Yuan, J., & Liang, Y. C. (2020). Deep transfer learning for signal detection in ambient backscatter communications. IEEE Transactions on Wireless Communications, 20(3), 1624-1638. Liu C. Wei Z. Ng D. W. K. Yuan J. Liang Y. C. ( 2020 ). Deep transfer learning for signal detection in ambient backscatter communications . IEEE Transactions on Wireless Communications , 20 ( 3 ), 1624 - 1638 . Search in Google Scholar

[12] She, J. T. (2020). Design for communication network of internet in on-line monitoring system for power transmission and transformation equipment. In IOP Conference Series: Materials Science and Engineering (Vol. 740, No. 1, p. 012157). IOP Publishing. She J. T. ( 2020 ). Design for communication network of internet in on-line monitoring system for power transmission and transformation equipment . In IOP Conference Series: Materials Science and Engineering (Vol. 740 , No. 1 , p. 012157 ). IOP Publishing . Search in Google Scholar

[13] Zhang, C. (2023, March). The impact of communication equipment and monitoring systems to the safety of train operations. In Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022) (Vol. 12597, pp. 703-711). SPIE. Zhang C. ( 2023 , March ). The impact of communication equipment and monitoring systems to the safety of train operations . In Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022) (Vol. 12597 , pp. 703 - 711 ). SPIE . Search in Google Scholar

[14] Liu, K., Tang, W., Liu, X., Shi, J., & Liu, L. (2019, September). Monitoring for Health Status of Communication Equipment Based on IoT. In 2019 International Conference on Computer Network, Electronic and Automation (ICCNEA) (pp. 264-269). IEEE. Liu K. Tang W. Liu X. Shi J. Liu L. ( 2019 , September ). Monitoring for Health Status of Communication Equipment Based on IoT . In 2019 International Conference on Computer Network, Electronic and Automation (ICCNEA) (pp. 264 - 269 ). IEEE . Search in Google Scholar

[15] Jameel, F., Hamid, Z., Jabeen, F., Zeadally, S., & Javed, M. A. (2018). A survey of device-to-device communications: Research issues and challenges. IEEE Communications Surveys & Tutorials, 20(3), 2133-2168. Jameel F. Hamid Z. Jabeen F. Zeadally S. Javed M. A. ( 2018 ). A survey of device-to-device communications: Research issues and challenges . IEEE Communications Surveys & Tutorials , 20 ( 3 ), 2133 - 2168 . Search in Google Scholar

[16] Sun, Q., Lin, K., Si, C., Xu, Y., Li, S., & Gope, P. (2022). A secure and anonymous communicate scheme over the internet of things. ACM Transactions on Sensor Networks (TOSN), 18(3), 1-21. Sun Q. Lin K. Si C. Xu Y. Li S. Gope P. ( 2022 ). A secure and anonymous communicate scheme over the internet of things . ACM Transactions on Sensor Networks (TOSN) , 18 ( 3 ), 1 - 21 . Search in Google Scholar

[17] Fant, C., Adelman, D. S., Zak, C. L., & Wood, L. K. (2020). Communicating data and information in disaster care. The Nurse Practitioner, 45(2), 48-54. Fant C. Adelman D. S. Zak C. L. Wood L. K. ( 2020 ). Communicating data and information in disaster care . The Nurse Practitioner , 45 ( 2 ), 48 - 54 . Search in Google Scholar

[18] Al-Sarawi, S., Anbar, M., Alieyan, K., & Alzubaidi, M. (2017, May). Internet of Things (IoT) communication protocols. In 2017 8th International conference on information technology (ICIT) (pp. 685-690). IEEE. Al-Sarawi S. Anbar M. Alieyan K. Alzubaidi M. ( 2017 , May ). Internet of Things (IoT) communication protocols . In 2017 8th International conference on information technology (ICIT) (pp. 685 - 690 ). IEEE . Search in Google Scholar

[19] Dong, Y. (2022). Design of an automatic detection system for abnormal communication data packets of electronic equipment. Wireless Personal Communications, 127(2), 1503-1516. Dong Y. ( 2022 ). Design of an automatic detection system for abnormal communication data packets of electronic equipment . Wireless Personal Communications , 127 ( 2 ), 1503 - 1516 . Search in Google Scholar

[20] Zuo, Q. (2024, June). Research on Abnormal Detection for Wireless Communication Network based on Machine Learning. In 2024 6th International Conference on Electronic Engineering and Informatics (EEI) (pp. 1691-1694). IEEE. Zuo Q. ( 2024 , June ). Research on Abnormal Detection for Wireless Communication Network based on Machine Learning . In 2024 6th International Conference on Electronic Engineering and Informatics (EEI) (pp. 1691 - 1694 ). IEEE . Search in Google Scholar

[21] Gong, B. (2024). Method of feature extraction of abnormal communication signal in network based on nonlinear technology. Nonlinear Engineering, 13(1), 20220369. Gong B. ( 2024 ). Method of feature extraction of abnormal communication signal in network based on nonlinear technology . Nonlinear Engineering , 13 ( 1 ), 20220369 . Search in Google Scholar

[22] Kuang, T., Zhou, B., Li, J., Ding, G., & Wu, Q. (2022). Abnormal Communication Signals Recognition Based on Image Enhancement and Improved Memory-Augmented Autoencoder. Wireless Communications and Mobile Computing, 2022(1), 7228511. Kuang T. Zhou B. Li J. Ding G. Wu Q. ( 2022 ). Abnormal Communication Signals Recognition Based on Image Enhancement and Improved Memory-Augmented Autoencoder . Wireless Communications and Mobile Computing , 2022 ( 1 ), 7228511 . Search in Google Scholar

[23] Wang, Y., Jin, Y., Zhang, H., Lu, Q., Cao, C., Sang, Z., & Sun, M. (2021). Underwater communication signal recognition using sequence convolutional network. IEEE Access, 9, 46886-46899. Wang Y. Jin Y. Zhang H. Lu Q. Cao C. Sang Z. Sun M. ( 2021 ). Underwater communication signal recognition using sequence convolutional network . IEEE Access , 9 , 46886 - 46899 . Search in Google Scholar

[24] Li, X., Dong, F., Zhang, S., & Guo, W. (2019). A survey on deep learning techniques in wireless signal recognition. Wireless Communications and Mobile Computing, 2019(1), 5629572. Li X. Dong F. Zhang S. Guo W. ( 2019 ). A survey on deep learning techniques in wireless signal recognition . Wireless Communications and Mobile Computing , 2019 ( 1 ), 5629572 . Search in Google Scholar

[25] Gao, M., Li, Y., & Gao, Y. (2022). Key Technology of Communication Equipment Fingerprint Recognition Based on Intelligent Feature Extraction Algorithm. Advances in Multimedia, 2022(1), 6809834. Gao M. Li Y. Gao Y. ( 2022 ). Key Technology of Communication Equipment Fingerprint Recognition Based on Intelligent Feature Extraction Algorithm . Advances in Multimedia , 2022 ( 1 ), 6809834 . Search in Google Scholar

[26] Duan, B., Li, Y., & Cao, X. (2023, September). Communication Signal Recognition Based on Fourier Transforms. In 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS) (pp. 727-731). IEEE. Duan B. Li Y. Cao X. ( 2023 , September ). Communication Signal Recognition Based on Fourier Transforms . In 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS) (pp. 727 - 731 ). IEEE . Search in Google Scholar

[27] Rustam Mussabayev. (2024). Optimizing Euclidean Distance Computation. Mathematics(23),3787-3787. Mussabayev Rustam ( 2024 ). Optimizing Euclidean Distance Computation . Mathematics ( 23 ), 3787 - 3787 . Search in Google Scholar

[28] Cem Söyleyici & Hakkı Özgür Ünver. (2025). A Physics-Informed Deep Neural Network based beam vibration framework for simulation and parameter identification. Engineering Applications of Artificial Intelligence109804-109804. Söyleyici Cem Ünver Hakkı Özgür ( 2025 ). A Physics-Informed Deep Neural Network based beam vibration framework for simulation and parameter identification . Engineering Applications of Artificial Intelligence 109804 - 109804 . Search in Google Scholar

[29] Jingjing Gao, Xiangpeng Xie & Jianwei Xia. (2024). Relaxed static output feedback control for discrete-time Takagi-Sugeno fuzzy systems: A switching sequence convex optimization algorithm. Information Sciences120966-. Gao Jingjing Xie Xiangpeng Xia Jianwei ( 2024 ). Relaxed static output feedback control for discrete-time Takagi-Sugeno fuzzy systems: A switching sequence convex optimization algorithm . Information Sciences 120966 -. Search in Google Scholar

[30] Orizon Pereira Ferreira, Yingchao Gao, Sándor Zoltán Németh & Petra Renáta Rigó. (2024). Gradient projection method on the sphere, complementarity problems and copositivity. Journal of Global Optimization(1),1-25. Ferreira Orizon Pereira Gao Yingchao Németh Sándor Zoltán Rigó Petra Renáta ( 2024 ). Gradient projection method on the sphere, complementarity problems and copositivity . Journal of Global Optimization ( 1 ), 1 - 25 . Search in Google Scholar