Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Boncho Bonev"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5855 (2024)
One of the key parameters in radio link planning is the propagation path loss. Most of the existing methods for its prediction are not characterized by a good balance between accuracy, generality, and low computational complexity. To address this pro
Externí odkaz:
https://doaj.org/article/ab53dfe9ebf84414b1b2cc31407ebcb9
Publikováno v:
Kumar, V, Singh, H, Saxena, K, Bonev, B & Prasad, R 2023, ' A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain ', Wireless Personal Communications . https://doi.org/10.1007/s11277-023-10493-2
Mobile providers must be preparing for a rapid increase with mobile traffic in future, given the significant growth in demand for wireless data capacity for communications link every year. This motivates researchers and scientist for the higher spect
Publikováno v:
Wireless Personal Communications.
Publikováno v:
2022 30th National Conference with International Participation (TELECOM).
Publikováno v:
2021 29th National Conference with International Participation (TELECOM).
Publikováno v:
2021 29th National Conference with International Participation (TELECOM).
Publikováno v:
Kumar, V, Singh, H, Saxena, K, Bonev, B & Prasad, R 2021, ' Soft Clustering for Enhancing ITU Rain Model based on Machine Learning Techniques ', Wireless Personal Communications, vol. 120, no. 1, pp. 287-305 . https://doi.org/10.1007/s11277-021-08454-8
With the many folds increase in demand for capacity in mobile broadband communication technology every year, wireless carriers must be prepared for the tremendous increase in mobile traffic in coming years. It forces scientists and researchers to com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4552d8894a93930d001540bb1e24b859
https://pure.au.dk/portal/da/publications/soft-clustering-for-enhancing-itu-rain-model-based-on-machine-learning-techniques(1cb8643d-0e6d-433b-9540-41b7ca13353c).html
https://pure.au.dk/portal/da/publications/soft-clustering-for-enhancing-itu-rain-model-based-on-machine-learning-techniques(1cb8643d-0e6d-433b-9540-41b7ca13353c).html
Publikováno v:
Singh, H, Kumar, V, Saxena, K, Bonev, B & Prasad, R 2021, Prediction of Radio Wave Attenuation due to Cloud Using Machine Learning Techniques . in 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST . IEEE, pp. 163-166, 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2021, Sozopol, Bulgaria, 16/06/2021 . https://doi.org/10.1109/ICEST52640.2021.9483524
The latest development in wireless technology has resulted in a surge in demand for higher frequency bands from all corners of the mobile industry. As next-generation mobile technology advance at a breakneck pace and the world moves to an online plat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4c1867fa9bbfe8fb4d208b4db11e85
https://pure.au.dk/portal/da/publications/prediction-of-radio-wave-attenuation-due-to-cloud-using-machine-learning-techniques(43d72d88-3872-4b82-9b26-042d52c88898).html
https://pure.au.dk/portal/da/publications/prediction-of-radio-wave-attenuation-due-to-cloud-using-machine-learning-techniques(43d72d88-3872-4b82-9b26-042d52c88898).html
Autor:
Vivek Kumar, Boncho Bonev
Publikováno v:
International Journal of Recent Technology and Engineering (IJRTE). 8:2080-2085
Terrestrial radio wave link faces various challenges like attenuation caused by gases, water vapor and other weather phenomenon like rain, storms, snow, fog, cloud etc. These challenges are responsible for absorption and diffusion of energy. Another
Autor:
Karen Willacy, Neal Turner, Boncho Bonev, Erika Gibb, Neil Dello Russo, Michael DiSanti, Ronald J. Vervack Jr., Nathan X. Roth
Publikováno v:
The Astrophysical Journal. 931:164
Comets provide a valuable window into the chemical and physical conditions at the time of their formation in the young solar system. We seek insights into where and when these objects formed by comparing the range of abundances observed for nine mole