Zobrazeno 1 - 10
of 723
pro vyhledávání: '"Markov transition"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-24 (2024)
Abstract Human mobility describes physical patterns of movement of people within a spatial system. Many of these patterns, including daily commuting, are cyclic and quantifiable. These patterns capture physical phenomena tied to processes studied in
Externí odkaz:
https://doaj.org/article/20532f7b91ff4417a976671ac4681618
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Identifying cable insulation defects is crucial for preventing system failures and ensuring the reliability of electrical infrastructure. This paper introduces a novel method leveraging the Markov transition field (MTF) and Transformer network to imp
Externí odkaz:
https://doaj.org/article/104c4247da8d4e44a64a127cf63a275d
Autor:
Liu, Qiang a, ⁎, Liu, Jiaqi a, Liu, Xianli a, Yue, Caixu a, Ma, Jing a, Zhang, Bowen a, Liang, Steven Y. b, Wang, Lihui c
Publikováno v:
In Mechanical Systems and Signal Processing 15 February 2025 225
Publikováno v:
Jixie chuandong, Vol 48, Pp 170-176 (2024)
In order to effectively capture the fault features contained in the vibration signals of the rotating machinery and complete the fault diagnosis task efficiently, a fault diagnosis model combining two-dimensional image features and lightweight neural
Externí odkaz:
https://doaj.org/article/3e05e92201b24c558f27bf3c833073fe
Autor:
Lu Tang, Xiangrui Wang, Pengfei Lian, Zhiyuan Lu, Qibin Zheng, Xilin Yang, Qianyuan Hu, Hui Zheng
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Gait, fundamental to human movement, becomes compromised in cerebral palsy (CP), a childhood‐onset central nervous system motor disorder. Precise assessment of patients’ gait is crucial for tailored rehabilitation interventions. Currently, clinic
Externí odkaz:
https://doaj.org/article/a0e3ad41f50e4a25b24a32a052b584d7
Autor:
Harutyun Terzyan, Atom Margaryan
Publikováno v:
Public Policy and Administration, Vol 22, Iss 4, Pp 477-487 (2024)
In this work, the nature of the mutual influence of monetary and fiscal policy on one of the key problems of the macroeconomic equilibrium of the economy of the Republic of Armenia and the accuracy of forecasting in the context of the application of
Externí odkaz:
https://doaj.org/article/02bb975071f94fe2b5bfef8cb7be95cb
Autor:
Ying-Yi Hong, Rolando A. Pula
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1963-1976 (2023)
The amount of energy that is generated using photovoltaic (PV) arrays has been increasing rapidly over recent years. To avoid energy and financial losses due to PV faults, numerous methods for diagnosing PV faults have been proposed. Both digital twi
Externí odkaz:
https://doaj.org/article/186fd6d1dc854eaebf364a28bd36ce33
Autor:
Sizu Hou, Wenyao Wang
Publikováno v:
Energies, Vol 17, Iss 19, p 4958 (2024)
In active distribution networks (ADNs), the extensive deployment of distributed generations (DGs) heightens system nonlinearity and non-stationarity, which can weaken fault characteristics and reduce fault detection accuracy. To improve fault detecti
Externí odkaz:
https://doaj.org/article/fcf08ec0e1174597aa508e848e343c0e
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 522-531 (2023)
Bearing fault diagnosis is very important for the security and efficiency of electric machines. In recent years, the newly emerging deep learning methods have risen bearing fault diagnosis as a research hotspot again. To achieve better performance an
Externí odkaz:
https://doaj.org/article/d76d5454f3374a258448110d946542bb
Autor:
Biaokai ZHU, Wenwen DENG, Jie SONG, Weijie YUAN, Xinge LIANG, Meiya DONG, Sanman LIU, Qian ZHANG, Jumin ZHAO
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 3, Pp 534-547 (2023)
Compared with the current gesture recognition system based on radio frequency identification technology, the single-tag non-contact gesture recognition system based on convolutional neural network proposed in this paper can maximize user experience.
Externí odkaz:
https://doaj.org/article/1202c408d8004de4af6d0bdb30d303ef