Zobrazeno 1 - 10
of 3 098
pro vyhledávání: '"Bidirectional Long Short-Term Memory"'
Autor:
Sarah A. Alzakari, Amir Abdel Menaem, Nadir Omer, Amr Abozeid, Loay F. Hussein, Islam Abdalla Mohamed Abass, Ayadi Rami, Ahmed Elhadad
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 280-291 (2024)
The advancement of medical technology has brought about a significant transformation in remote healthcare monitoring, which is crucial for providing customized care and ongoing observation. This is especially important when it comes to controlling lo
Externí odkaz:
https://doaj.org/article/1c79ff59193e47c1955f9bc3a8db00df
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 26916-26950 (2024)
Accurate prediction of sewage flow is crucial for optimizing sewage treatment processes, cutting down energy consumption, and reducing pollution incidents. Current prediction models, including traditional statistical models and machine learning model
Externí odkaz:
https://doaj.org/article/74bf350d35f04f6a9f54463179929e38
Autor:
Koteeswaran Seerangan, Malarvizhi Nandagopal, Resmi R. Nair, Sakthivel Periyasamy, Rutvij H. Jhaveri, Balamurugan Balusamy, Shitharth Selvarajan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-33 (2024)
Abstract Alzheimer’s Disease (AD) causes slow death in brain cells due to shrinkage of brain cells which is more prevalent in older people. In most cases, the symptoms of AD are mistaken as age-related stresses. The most widely utilized method to d
Externí odkaz:
https://doaj.org/article/825e8a2976b9487da84dfe95c0bd150e
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 1-14 (2024)
Abstract Virus‒host protein‒lncRNA interaction (VHPLI) predictions are critical for decoding the molecular mechanisms of viral pathogens and host immune processes. Although VHPLI interactions have been predicted in both plants and animals, they h
Externí odkaz:
https://doaj.org/article/660b9caa1f764d59905edcf156910825
Publikováno v:
Radioengineering, Vol 33, Iss 2, Pp 236-245 (2024)
With the continuous advancement of Internet of Things (IoT) intelligence, IoT security issues have become more and more prominent in recent years. The research on IoT security has become a hot spot. A lightweight IoT intrusion detection model fusing
Externí odkaz:
https://doaj.org/article/25f8255edabb4ff19d97e7ddf9f00fc4
Autor:
Shaohui Zou, Jing Zhang
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 6, Pp 2568-2590 (2024)
Abstract To further enhance the precision of carbon trading price forecasting, this research proposes a combined forecasting model, CEEMDAN–VMD–IPSO–BiLSTM, considering the unsatisfactory high‐frequency sequence decomposition and the reliance
Externí odkaz:
https://doaj.org/article/01a5d00efa8b4925a1cd3fc2562f3c77
Autor:
Quoc Bao Phan, Tuy Tan Nguyen
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 485-490 (2024)
This study introduces an advanced artificial model, grey wolf optimization (GWO)-nested complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-convolutional neural network (CNN)-bidirectional long short-term memory (BiLSTM), for
Externí odkaz:
https://doaj.org/article/d25f01e54af24bc1bc6f466fee5e2b3c
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 3, Pp 123-129 (2024)
Addressing the issue of relatively low recognition rates for named entities in domain-specific short texts under resource-constrained computational environments, a novel hybrid model combining a Dual BiLSTM_CRF architecture with a fully connected net
Externí odkaz:
https://doaj.org/article/c390e3438340473daab8255dd38fe992
Autor:
Xueran Jiao, Zongheng He
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The traditional decomposed ensemble prediction model decomposes the entire rainfall sequence into several sub-sequences, dividing them into training and testing periods for modeling. During sample construction, future information is erroneou
Externí odkaz:
https://doaj.org/article/03449fc902fd458692f3b6548de9007a