Zobrazeno 1 - 10
of 7 731
pro vyhledávání: '"long short-term memory (lstm)"'
Autor:
Maddali, Anil Kumar, Khan, Habibulla
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 4, pp. 415-438.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-07-2021-0158
Autor:
Kanato Oka, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Syuto Noguchi, Masayuki Karasuyama, Yoshiya Fujiwara, Takuhiro Miyuki
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This study presents a data-driven battery emulator using long short-term memory deep learning models to predict the charge–discharge behaviour of lithium-ion batteries (LIBs). This study aimed to reduce the economic costs and time associat
Externí odkaz:
https://doaj.org/article/299392d221534d55ac2eb09ef468cc69
Publikováno v:
Emerging Science Journal, Vol 8, Iss 5, Pp 1875-1897 (2024)
According to the World Health Organization's (WHO) external situation report on the multi-country outbreak of Monkeypox in 2023, from 11 countries in Southeast Asia Regions, Thailand recorded the highest reported cases, totaling 461. The ongoing Monk
Externí odkaz:
https://doaj.org/article/9f7c11e10fa043a1ab82406c7e02f4b4
Autor:
Jinghua Xu, Linxuan Wang, Mingyu Gao, Chen Jia, Qianyong Chen, Kang Wang, Shuyou Zhang, Jianrong Tan, Shaomei Fei
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-19 (2024)
Abstract This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins (HDT). In order to improve manufacturing quality of irregular lightweight co
Externí odkaz:
https://doaj.org/article/04f529c5d4d445b48e07ecd5250f3fce
Autor:
T. Istiana, B. Kurniawan, S. Soekirno, A. Wihono, D.E. Nuryanto, B.A. Pertala, A. Sopaheluwakan
Publikováno v:
Global Journal of Environmental Science and Management, Vol 10, Iss 4, Pp 1759-1777 (2024)
BACKGROUND AND OBJECTIVES: In metropolitan settings, the requirement to travel and participate in everyday tasks exposes numerous individuals to the harmful effects of air pollutants, specifically particulate matter 2.5, which has the potential to im
Externí odkaz:
https://doaj.org/article/6555a35c9bd446658721ea25a0b45f4e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 191-205 (2025)
Reconstruction of normalized difference vegetation index (NDVI) time series plays an imperative part in the inference of vegetation dynamics. However, it is challenging for the existing methods to achieve a good balance between accuracy and efficienc
Externí odkaz:
https://doaj.org/article/5947b8477f734a40912993055894e061
An Integrated Framework for Infectious Disease Control Using Mathematical Modeling and Deep Learning
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 41-53 (2025)
Infectious diseases are a major global public health concern. Precise modeling and prediction methods are essential to develop effective strategies for disease control. However, data imbalance and the presence of noise and intensity inhomogeneity mak
Externí odkaz:
https://doaj.org/article/dd0f1fa174c942c9922938ea05292b6b
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 4, Pp 176-183 (2024)
Predicting financial market trends poses significant challenges due to the complex, dynamic, and often chaotic nature of the market, especially when dealing with data featuring a multitude of characteristics. In this research, we propose an effective
Externí odkaz:
https://doaj.org/article/2fbeed8aecb1422ba8ff8fa0a18f3bc6
Publikováno v:
Jurnal Informatika, Vol 11, Iss 2, Pp 80-89 (2024)
The capital market plays a significant role in a country's economy, facilitating corporate financing and providing investment opportunities for the public. One popular investment instrument is stocks, yet many investors struggle to make profitable in
Externí odkaz:
https://doaj.org/article/d6b9686854fd4d21a06161b251aa1cb7
Publikováno v:
电力工程技术, Vol 43, Iss 5, Pp 189-198 (2024)
In severe convective weather, transmission lines are prone to lightning strikes, wind swings, rain flashes and other faults that threaten the safe operation of the power grids. To overcome the problem that the existing nowcasting cannot fully meet th
Externí odkaz:
https://doaj.org/article/c93b381ac4c0497ca85fae9ba64eb3e0