Zobrazeno 1 - 10
of 469
pro vyhledávání: '"Recurrent Neural Networks (RNN)"'
Publikováno v:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 32, Iss 4, Pp 492-510 (2024)
The purpose of this paper is to comparatively analyse the efficiency of using artificial neural networks with different convolutional and recurrent architectures in the task of depression diagnosis based on electroencephalogram (EEG) data. Open datas
Externí odkaz:
https://doaj.org/article/87745096dcf34d3db5c89ecd416b2386
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Reconstructing high-quality Normalized Difference Vegetation Index time series data is essential for ecological and agricultural applications but remains challenging in heavily cloudy areas. Fusing Sentinel SAR and optical data with deep learning cou
Externí odkaz:
https://doaj.org/article/f5c9af088f254272a3f6bb04a9da38d8
Publikováno v:
Frontiers in Complex Systems, Vol 2 (2024)
Understanding how neural networks process information is a fundamental challenge in neuroscience and artificial intelligence. A pivotal question in this context is how external stimuli, particularly noise, influence the dynamics and information flow
Externí odkaz:
https://doaj.org/article/2eaba5e6a9bb4380af7c7dfe307fcdd9
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 4, Pp 534-544 (2024)
Characteristic viscosity is a key indicator of the quality of polyester melts, whose accurate prediction can help to identify potential quality problems of polyester melts in advance, adjust the process parameters in time and reduce enterprise losses
Externí odkaz:
https://doaj.org/article/c7e3f67d88bd4209a3d4c36c7e52d8ce
Autor:
Yifei Wang, Xiaodong Cui, Dominic Peters, Berkay Çıtmacı, Aisha Alnajdi, Carlos G. Morales-Guio, Panagiotis D. Christofides
Publikováno v:
Digital Chemical Engineering, Vol 12, Iss , Pp 100173- (2024)
Hydrogen plays a crucial role in improving sustainability and offering a clean and efficient energy carrier that significantly reduces greenhouse gas emissions. However, the primary method of industrial hydrogen production, steam methane reforming (S
Externí odkaz:
https://doaj.org/article/b35aa7d54ed54f54b09625b909e609f0
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 2, Pp 853- 862 (2024)
In the current digital era, the humongous amount of data being generated has been impacting public lives in one or the other ways. Sentiment analysis, also known as opinion mining, is related to contextual mining of texts which helps in identificatio
Externí odkaz:
https://doaj.org/article/5e261583f79f4a08a402e662e70ae6ae
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1344-1366 (2022)
Recent developments in deep learning (DL) techniques have provided a series of new methods for land cover classification. However, most DL-based methods do not consider the rich spatial association of land cover classes embedded in remote sensing ima
Externí odkaz:
https://doaj.org/article/4af8089de47140498f1af88220823fd9
Publikováno v:
Nigerian Journal of Technological Development, Vol 20, Iss 3 (2023)
Energy consumption forecasting is an operation of predicting the future energy consumption of electrical systems using previous or historical data. The Long Short-term Memory (LSTM) Model; a deep learning model was used in this project to analyze the
Externí odkaz:
https://doaj.org/article/bf45e808c997485ba80d26519b84c595
Autor:
Nisreen Sulayman
Publikováno v:
Baghdad Science Journal, Vol 20, Iss 4(SI) (2023)
The emergence of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has resulted in a global health crisis leading to widespread illness, death, and daily life disruptions. Having a vaccine for COVID-19 is crucial to controlling the spread
Externí odkaz:
https://doaj.org/article/91960ed4647e4f978845ebd2b327bce7
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