Autors: Kumar V., Singh H., Saxena K., Bonev, B. G., Prasad R.
Title: A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain
Keywords: 5G Technology; Artificial neural network; Machine learning;

References

    Issue

    Wireless Personal Communications, vol. 131, issue 2, pp. 1437 - 1460, 2023, Netherlands, Springer, DOI 10.1007/s11277-023-10493-2

    Цитирания (Citation/s):
    1. Songsriboonsit N., Koketsu Rodrigues T., Kawamoto Y., Yamashita Y., Morikawa M., Kato N., Prediction-Based Link Selection with Machine Learning in HAP-Assisted FSO Networks, 2025, IEEE Wireless Communications Letters, issue 4, vol. 14, pp. 1024-1028, DOI 10.1109/LWC.2025.3530481, issn 21622337, eissn 21622345 - 2025 - в издания, индексирани в Scopus
    2. Salmaan M., Puviarasi R., Comparative Analysis of Random Forest and Regression Algorithm for Predicting Radio Wave Attenuation Caused by Clouds, 2025, 2025 10th International Conference on Applying New Technology in Green Buildings Atigb 2025, issue 0, pp. 827-832, DOI 10.1109/ATIGB66719.2025.11142088 - 2025 - в издания, индексирани в Scopus

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus