Zobrazeno 1 - 10
of 71 478
pro vyhledávání: '"$p$-robustness"'
Autor:
Ricarda Duerst, Jonas Schöley
Publikováno v:
Population Health Metrics, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background In the winter of 2022/2023, excess death estimates for Germany indicated a 10% elevation, which has led to questions about the significance of this increase in mortality. Given the inherent errors in demographic forecasting, the r
Externí odkaz:
https://doaj.org/article/3f490508e19c4640824fda912bef9655
Publikováno v:
Journal of Intelligent Manufacturing and Special Equipment, Vol 5, Iss 3, Pp 294-300 (2024)
Purpose – This work aims to provide a rapid robust optimization design solution for parallel robots or mechanisms, thereby circumventing inefficiencies and wastage caused by empirical design, as well as numerous physical verifications, which can be
Externí odkaz:
https://doaj.org/article/73ffcb3f6ae04f7daaf6eeca960bef6f
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1258-1272 (2024)
Transmission expansion planning (TEP) is known as long-term study, which is related to the generation expansion pattern, i.e. where and how many new generation facilities will be constructed. Recently, some researchers have paid special attention to
Externí odkaz:
https://doaj.org/article/5392815489814d24b808b29b1d0ddbbf
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 476-485 (2024)
Video anomaly detection is a very important research topic, especially in the field of automatic driving, and timely acquisition of road conditions ahead is very important for safe driving. Past methods used convolution and other operations, resultin
Externí odkaz:
https://doaj.org/article/740c64d4de174699ac33ee54e95f8328
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 19, Iss 2, Pp 471-483 (2024)
Entropy, a key measure of chaos or diversity, has recently found intriguing applications in the realm of management science. Traditional entropy-based approaches for data analysis, however, prove inadequate when dealing with high-dimensional datasets
Externí odkaz:
https://doaj.org/article/ebce796ba49742c08d00901302e64a67
Autor:
Wenpeng Shao, Jinpeng Zhu, Yaofeng Chen, Weike Kong, Chenyu Jia, Yulong Zhang, Kaijun Yang, Jilin He
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 9249-9257 (2024)
The accumulation of ice and snow on cables in winter poses a serious threat to the transmission and safety of electricity. It is extremely necessary to prepare a strong superhydrophobic anti-icing coating on the surface of the cable to gently remove
Externí odkaz:
https://doaj.org/article/014f261c76084ed59e31fe1518879827
Publikováno v:
IET Electric Power Applications, Vol 18, Iss 11, Pp 1567-1583 (2024)
Abstract Linear machines (LMs) have become excellent candidates for linear motion applications due to their abilities of generating thrust without any transmissions, and have been widely adopted in transportation, industries etc. Among the numerous c
Externí odkaz:
https://doaj.org/article/d5a569bba5444f92a2a7e348d8dacc76
Publikováno v:
Zhejiang dianli, Vol 43, Iss 11, Pp 116-122 (2024)
To address the difficulty in convergence encountered in power flow calculations of integrated electricity-gas energy systems using the traditional Newton-Raphson method for state evaluation and safety checks， this paper proposes a power flow calcul
Externí odkaz:
https://doaj.org/article/52dbb4a436d94b7c8d7026bd5126278f
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Recently, there has been a growing interest in combining causal inference with machine learning algorithms. Double machine learning model (DML), as an implementation of this combination, has received widespread attention for their
Externí odkaz:
https://doaj.org/article/c1a6b006f87c4fa3a18c55916744317f