Вестник МГТУ, 2022, Т. 25, № 4.

Вестник МГТУ. 2022. Т. 25, № 4. С. 345-353. DOI: https://doi.org/10.21443/1560-9278-2022-25-4-345-353 Sharipov K. A., Jumaev N. H., Eshov M. P., Aziz A. [et al.]. Compressive sparse binary signals reconstruction algorithm using simulated annealing // The 5th Intern. Conf. on Future Networks & Distributed Systems (ICFNDS 2021), Dubai, United Arab Emirates, 15-16 December 2021. New York : Association for Computing Machinery, 2022. P. 485-490. DOI: https://doi.org/10.1145/3508072.3508170. Vargas J., Alsweiss S., Toker O., Razdan R. [et al.]. An overview of autonomous vehicles sensors and their vulnerability to weather conditions // Sensors. 2021. Vol. 21, Iss. 16. Article number: 5397. DOI: https://doi.org/10.3390/s21165397. References Kayumov, B. A. 2016. Experimental study of reliability indicators injection feeding system of gasoline engines in road and climatic conditions of Central Asia. Journal o f Siberian Federal University. Engineering & Technologies , 9(1), pp. 86-104. DOI: https://doi.org/10.17516/1999-494X-2016-9-1-86-104. EDN: TLBXUX. (In Russ.) Kayumov, B. A., Vokhobov, R. A. 2019. Amendmens to the design of cars based on test results. Bulletin o f Science and Practice , 5(11), pp. 249-254. DOI: https://doi.org/10.33619/2414-2948/48/28. EDN: YUMVQR. (In Russ.) Kayumov, B. A., Sobirov, B., Moidinov, D. 2018. Reliability of the fuel supply system of engines in hot conditions. LAP Lambert Academic Publishing. (In Russ.) Tashpulatov, M. M. 1990. Ensuring the operability of diesel fuel supply equipment. Tashkent. (In Russ.) Kayumov, B. 2021. Use of spline functions in determining reliability indicators of vehicles in hot climate conditions. The Scientific Heritage, 1(80), pp. 30-33. DOI: https://doi.org/10.24412/9215-0365-2021-80-1- 30-33. EDN: AXCGTJ. Kshirsagar, P. R., Manoharan, H., Al-Turjman, F., Maheshwari, K. K. 2022. Design and testing of automated smoke monitoring sensors in vehicles. IEEE Sensors Journal, 22(18), pp. 17497-17504. DOI: https://doi.org/ 10.1109/JSEN.2020.3044604. Prochowski, L., Szwajkowski, P., Ziubinski, M. 2022. Research scenarios of autonomous vehicles, the sensors and measurement systems used in experiments. Sensors, 22(17). Article number: 6586. DOI: https://doi.org/ 10.3390/s22176586. Sharipov, K. A., Jumaev, N. H., Eshov, M. P., Aziz, A. et al. 2021. Compressive sparse binary signals reconstruction algorithm using simulated annealing. Proceedings o f the 5th Intern. Conf. on Future Networks & Distributed Systems (ICFNDS 2021), Dubai, United Arab Emirates, 15-16 December 2021. New York : Association for Computing Machinery, pp. 485-490. DOI: https://doi.org/10.1145/3508072.3508170. Vargas, J., Alsweiss, S., Toker, O., Razdan, R. et al. 2021. An overview of autonomous vehicles sensors and their vulnerability to weather conditions. Sensors, 21(16). Article number: 5397. DOI: https://doi.org/ 10.3390/s21165397. Сведения об авторе Каюмов Бахром Абдуллажонович - пр. Бабура, 56, г. Андижан, Республика Узбекистан, 170119; Андижанский машиностроительный институт, д-р философии по техническим наукам, доцент; e-mail : kayumov.bahrom74@gmail.com, ORCID : https://orcid.org/0000-0002-8810-2663 Bakhrom A. Kayumov - 56 Babur Ave., Andijan, Republic of Uzbekistan, 170119; Andijan Machine-Building Institute, PhD (Engineering), Associate Professor; e-mail : kayumov.bahrom74@gmail.com, ORCID : https://orcid.org/0000-0002-8810-2663 353