Zobrazeno 1 - 10
of 1 816
pro vyhledávání: '"Temporal convolutional network"'
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
Autor:
Raj Anand Sundaramoorthy, Antony Dennis Ananth, Koteeswaran Seerangan, Malarvizhi Nandagopal, Balamurugan Balusamy, Shitharth Selvarajan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract In many emerging nations, rapid industrialization and urbanization have led to heightened levels of air pollution. This sudden rise in air pollution, which affects global sustainability and human health, has become a significant concern for
Externí odkaz:
https://doaj.org/article/d92d847e12b0431fbbdb73efcf6020f7
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:
Alexandria Engineering Journal, Vol 109, Iss , Pp 144-156 (2024)
Human pose estimation in sports training is a critical application within Internet of Things (IoT) environments, leveraging IoT devices to enhance performance analysis and injury prevention. Current methods struggle with real-time processing and accu
Externí odkaz:
https://doaj.org/article/0fe00ec260a046cf8a284c555d206504
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract The paper proposes a hybrid algorithm for forecasting multiple correlated time-series data, which consists of two main steps. First, it employs a multivariate Bayesian structural time series (MBSTS) approach as a base step. This method allow
Externí odkaz:
https://doaj.org/article/b099cfd7fb14457d9b04d0a5f6819763
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Accurate penetration rate prediction enhances rock-breaking efficiency and reduces disc cutter damage in tunnel boring machine (TBM) construction. However, this process faces significant challenges such as the high uncertainty of ground cond
Externí odkaz:
https://doaj.org/article/938b451e7bff436dae0f8e228e36aee6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Accurate power load forecasting is crucial for the sustainable operation of smart grids. However, the complexity and uncertainty of load, along with the large-scale and high-dimensional energy information, present challenges in handling intr
Externí odkaz:
https://doaj.org/article/28a4321ce03c453fbe8fd416ffc0dba8
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Speech signals are often distorted by reverberation and noise, with a widely distributed signal-to-noise ratio (SNR). To address this, our study develops robust, deep neural network (DNN)-based speech enhancement methods. We reproduce severa
Externí odkaz:
https://doaj.org/article/af44796838524fccbd1cdaf6fd32c362
Publikováno v:
Advances in Applied Energy, Vol 14, Iss , Pp 100165- (2024)
The burgeoning proliferation of integrated energy systems has fostered an unprecedented degree of coupling among various energy streams, thereby elevating the necessity for unified multi-energy forecasting (MEF). Prior approaches predominantly relied
Externí odkaz:
https://doaj.org/article/f09e85a8dd1d4a89b2b29aa727ef8be0
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract With the rapid advancements in deep learning technology, the Transformer-based attention neural network has shown promising performance in keyword spotting (KWS). However, this method suffers from high computational cost since the excessive
Externí odkaz:
https://doaj.org/article/3f5668e9b0f7413891996a712ad597a0