Zobrazeno 1 - 10
of 1 729
pro vyhledávání: '"TCN"'
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 187-196 (2024)
Big data is essential in the age of 4.0 industry as it becomes the basis of decision making. Deep learning research in the last few years has been proven effective in understanding complex big data patterns, especially in the finance sector. The rapi
Externí odkaz:
https://doaj.org/article/d661f3529e414c61a02f177ed2511d36
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Hand gesture recognition based on sparse multichannel surface electromyography (sEMG) still poses a significant challenge to deployment as a muscle–computer interface. Many researchers have been working to develop an sEMG-based hand gestur
Externí odkaz:
https://doaj.org/article/23d8bd29525e459083470afd4af61e1a
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 463-476 (2024)
Existing sea surface small target detection methods typically rely on intricate feature extraction techniques on transformed radar returns. However, these approaches suffer from issues of high computational complexity and low real-time performance. T
Externí odkaz:
https://doaj.org/article/86aa8bd8114541259851876e9d372c8f
Publikováno v:
Zhejiang dianli, Vol 43, Iss 8, Pp 85-93 (2024)
As the share of photovoltaic （PV） power generation grows increasingly within electric power systems， the accurate probabilistic forecasting of PV output can be help for grid regulation and operation. To enhance forecasting precision， a probab
Externí odkaz:
https://doaj.org/article/7ebb4b8bd79745b59757153954c78df7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Secondary structure prediction is a key step in understanding protein function and biological properties and is highly important in the fields of new drug development, disease treatment, bioengineering, etc. Accurately predicting the seconda
Externí odkaz:
https://doaj.org/article/d1e6250e50c446328606c4bb851a1c72
Publikováno v:
Wind Energy, Vol 27, Iss 7, Pp 733-744 (2024)
Abstract Wind power prediction for newly built wind farms is usually faced with the problem of no sufficient historical data. To efficiently extract the useful features from related wind farms, a novel transfer learning method based on temporal convo
Externí odkaz:
https://doaj.org/article/9368344074134bc29ce5d6e7f2d8e744
Publikováno v:
Meteorological Applications, Vol 31, Iss 5, Pp n/a-n/a (2024)
Abstract Regional visibility forecasting encounters challenges due to data imbalance, temporal non‐linearity and the consideration of multi‐scale spatial factors. To tackle these challenges, this study introduces a novel approach for collaborativ
Externí odkaz:
https://doaj.org/article/fabaf810570b4e8bb06231bc5ed7484a
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102817- (2024)
The need for energy is increasing globally due to a several factors, including population growth and economic development. Achieving this energy demand in the face of global warming and the depletion of fossil fuels requires the use of renewable ener
Externí odkaz:
https://doaj.org/article/ad1d4894430b4f79b2051002b74f41c0
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 192-200 (2024)
Accurately predicting the concentration trend of dissolved gas in oil has a positive effect on the evaluation of transformer status and life assessment. In order to improve the accuracy of dissolved gas in oil prediction, a dissolved gas in oil predi
Externí odkaz:
https://doaj.org/article/9e1752c2d35b41129988efe12042cfdd
Publikováno v:
JOIN: Jurnal Online Informatika, Vol 9, Iss 1, Pp 61-69 (2024)
Climate change is causing water levels to rise, leading to detrimental effects like tidal flooding in coastal areas. Surabaya, the capital of East Java Province in Indonesia, is particularly vulnerable due to its low-lying location. According to the
Externí odkaz:
https://doaj.org/article/cfc23e0de66a4945b793e2385c86fcdb