Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Junfeng Man"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2194 (2024)
In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is to transfer the source audio’s timbre from one instrument to another while retaining as much of the other musical elements as possible, including loudnes
Externí odkaz:
https://doaj.org/article/860f653eef64411296116d24c8b03fd2
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In recent years, the global installed capacity of wind power has grown rapidly. Wind power forecasting, as a key technology in wind turbine systems, has received widespread attention and extensive research. However, existing studies typically focus o
Externí odkaz:
https://doaj.org/article/68ad51d7b1f847ff860e9dd510023438
Publikováno v:
PeerJ Computer Science, Vol 9, p e1448 (2023)
Personalized recommendation is a technical means to help users quickly and efficiently obtain interesting content from massive information. However, the traditional recommendation algorithm is difficult to solve the problem of sparse data and cold-st
Externí odkaz:
https://doaj.org/article/5b02c635bf57426e92d8462dd9815839
Publikováno v:
IEEE Access, Vol 10, Pp 39613-39626 (2022)
The automatic fault detection of freight train image is difficult to locate, and its average detection accuracy is low. In this paper, an object detection model Bidirectional You Only Look Once (BD-YOLO), is proposed. The process of BD-YOLO is divide
Externí odkaz:
https://doaj.org/article/8313982c81bb44f4a5c3aa9134e6e326
Publikováno v:
IEEE Access, Vol 9, Pp 56786-56801 (2021)
Facing the massive rolling bearing vibration data, how to improve the training efficiency, diagnosis efficiency, and diagnosis accuracy of the rolling bearing fault diagnosis model is a challenge. Considering that the Spark-GPU platform provides powe
Externí odkaz:
https://doaj.org/article/bc0d9e3e808f498a8b1713bd65d7c0db
Publikováno v:
IEEE Access, Vol 8, Pp 205099-205110 (2020)
Cloud computing is a promising platform to conduct large-scale workflow applications according to the pay-per-use model. Minimizing the energy consumption of precedence constrained workflows with cost budget constraints has become one of the popular
Externí odkaz:
https://doaj.org/article/dda7361cc43044eabbd01e799522acc2
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
At present, deep learning is widely used to predict the remaining useful life (RUL) of rotation machinery in failure prediction and health management (PHM). However, in the actual manufacturing process, massive rotating machinery data are not easily
Externí odkaz:
https://doaj.org/article/4cf82984ed364371b025f701e1763e5c
Publikováno v:
Actuators, Vol 12, Iss 2, p 58 (2023)
Blade icing caused by low-temperature environments results in the degradation of wind turbine power performance. As there is no obvious influence on the performance of wind turbines in the early stage of blade icing, it is difficult to detect the ear
Externí odkaz:
https://doaj.org/article/0ffa2ab72fa8458f9fb42a6de5af81d6
Publikováno v:
Machines, Vol 10, Iss 5, p 336 (2022)
Intelligent bearing fault diagnosis is a necessary approach to ensure the stable operation of rotating machinery. However, it is usually difficult to collect fault data under actual working conditions, leading to a serious imbalance in training datas
Externí odkaz:
https://doaj.org/article/07aaabe2c6664f78bac0a4e896f870d8
Publikováno v:
Journal of Database Management. 34:1-29
Large-scale manufacturing enterprises have complex business processes in their production workshops, and the edge-edge collaborative business model cannot adapt to the traditional computation offloading methods, which leads to the problem of load imb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1bff489342c736f54693211c82e7674
https://doi.org/10.4018/jdm.318451
https://doi.org/10.4018/jdm.318451