Zobrazeno 1 - 10
of 213
pro vyhledávání: '"attention layer"'
Autor:
S. Pradeepa, Elizabeth Jomy, S. Vimal, Md. Mehedi Hassan, Gaurav Dhiman, Asif Karim, Dongwann Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Text classification plays a major role in research such as sentiment analysis, opinion mining, and customer feedback analysis. Text classification using hypergraph algorithms is effective in capturing the intricate relationships between word
Externí odkaz:
https://doaj.org/article/75c4549caf224408941a588047302eb1
Publikováno v:
地质科技通报, Vol 43, Iss 4, Pp 224-234 (2024)
Objective With increasing difficulty in phosphate ore prospecting, there are an increasing number of geological exploration reports. The manual recognition of geological information related to phosphate rock mineralization in massive documents is tim
Externí odkaz:
https://doaj.org/article/becb4eb0096d4d35a708062b56e25fb4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The bone marrow overproduces immature cells in the malignancy known as Acute Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are diagnosed each year in both children and adults, comprising nearly 25% of pedi
Externí odkaz:
https://doaj.org/article/6e307eee78484992871111c3080ae4f0
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 1, Pp 1-24 (2024)
Abstract Estimating the remaining useful life (RUL) of critical industrial assets is of crucial importance for optimizing maintenance strategies, enabling proactive planning of repair tasks, enhanced reliability, and reduced downtime in prognostic he
Externí odkaz:
https://doaj.org/article/4400c8de4b974b32844792edbc6ac75c
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5817 (2024)
Inventory prediction is concerned with the forecasting of future demand for products in order to optimize inventory levels and supply chain management. The challenges include demand volatility, data quality, multi-dimensional interactions, lead time
Externí odkaz:
https://doaj.org/article/aab0158fb55542609dd5325ae1543190
Autor:
Saima Latif, Nadeem Javaid, Faheem Aslam, Abdulaziz Aldegheishem, Nabil Alrajeh, Safdar Hussain Bouk
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27747- (2024)
Accurate predictions of stock markets are important for investors and other stakeholders of the equity markets to formulate profitable investment strategies. The improved accuracy of a prediction model even with a slight margin can translate into con
Externí odkaz:
https://doaj.org/article/094a73a173a74f8882121abbb165ae4b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2525-2534 (2023)
Objective: Recently, artificial neural networks (ANNs) have been proven effective and promising for the steady-state visual evoked potential (SSVEP) target recognition. Nevertheless, they usually have lots of trainable parameters and thus require a s
Externí odkaz:
https://doaj.org/article/c3784f9d0cc14912b58d8f54e6dc24c7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1927-1950 (2023)
Hyperspectral images (HSIs) are a powerful source of reliable data in various remote sensing applications. But due to the large number of bands, HSI has information redundancy, and methods are often used to reduce the number of spectral bands. Band s
Externí odkaz:
https://doaj.org/article/91c1f7495c744e67b617b4d78e9b4210
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