Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Wenhao Lai"'
Publikováno v:
Meitan xuebao, Vol 49, Iss 2, Pp 664-694 (2024)
The safety in the coal-producing mines in China is continuously improving, but coal and gas outburst accidents still occur. The prediction of coal and gas outbursts allows the scientific application of outburst prevention measures, which can ensure t
Externí odkaz:
https://doaj.org/article/96f60b31a5dc481986445b59e348e007
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 971-981 (2023)
Industrial customers consume a large part of the total electricity demand. In the operation of industrial energy systems, accurate prediction of electric loads is a prerequisite to help industrial users adjust their electric load dispatch and improve
Externí odkaz:
https://doaj.org/article/4986cf70535b464d9c310b1bba219c0f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Breast cancer is the second dangerous cancer in the world. Breast cancer data often contains more redundant information. Redundant information makes the breast cancer auxiliary diagnosis less accurate and time consuming. Dimension reduction
Externí odkaz:
https://doaj.org/article/b569269c2bf9433e93b2289cfdf65dfe
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 8, Pp 2622-2636 (2022)
Abstract Commercial buildings are consuming an increasing amount of energy, and accurate load demand forecasting is critical for the reliable operation of power systems and the efficient use of resources. Therefore, in this paper, a short‐term comm
Externí odkaz:
https://doaj.org/article/3720274dbf1e49d3b14aca06d88c3612
Autor:
Minghao Zhou, Wenhao Lai
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279955 (2023)
The identification of coal gangue is of great significance for its intelligent separation. To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost). The d
Externí odkaz:
https://doaj.org/article/e4b313eb01f248c0a62f5485d4c01379
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Coal miners’ occupational health is a key part of production safety in the coal mine. Accurate identification of abnormal physical signs is the key to preventing occupational diseases and improving miners’ working environment. There are many prob
Externí odkaz:
https://doaj.org/article/c2ba3cb823ad4d01a557ca5da2470ec1
Publikováno v:
IEEE Access, Vol 8, Pp 107076-107086 (2020)
The rapid and accurate identification of water source types in mine water inrush has been achieved by combining laser-induced fluorescence technology (LIF) with artificial intelligence algorithms. However, these algorithms solely rely on data and ima
Externí odkaz:
https://doaj.org/article/3cd0458369fd4cd7bf9c345eccf00255
Publikováno v:
IEEE Access, Vol 8, Pp 61834-61843 (2020)
Coal is one of the main sources of human energy. In the process of coal mining, separating gangue from coal has great significance for environmental protection and energy conservation. The core problem in the separation of gangue is the recognition o
Externí odkaz:
https://doaj.org/article/f1d3ac841f744a199412f217f15ddf25
Publikováno v:
Symmetry, Vol 14, Iss 10, p 2199 (2022)
Aiming to investigate the disadvantage of the optimization algorithm of membrane computing (a P system) in which it is difficult to take advantage of parallelism in MATLAB, leading to a slow optimization speed, a digital-specific hardware solution (f
Externí odkaz:
https://doaj.org/article/fb423407cb5148d9b7503541c527be1f
Publikováno v:
IEEE Access, Vol 7, Pp 104085-104095 (2019)
Density-based spatial clustering of applications with noise (DBSCAN) is a typical kind of algorithm based on density clustering in unsupervised learning. It can cluster data of arbitrary shape and also identify noise samples in the dataset. However,
Externí odkaz:
https://doaj.org/article/1b2fad330b844bc7af3d842f0575a33f