Zobrazeno 1 - 10
of 173
pro vyhledávání: '"machine learning and deep learning"'
Autor:
Eman Leung, Jingjing Guan, Qingpeng Zhang, Chun Cheung Ching, Hiliary Yee, Yilin Liu, Hang Sau Ng, Richard Xu, Hector Wing Hong Tsang, Albert Lee, Frank Youhua Chen
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundScreening for frequent hospitalizations in the community can help prevent super-utilizers from growing in the inpatient population. However, the determinants of frequent hospitalizations have not been systematically examined, their operatio
Externí odkaz:
https://doaj.org/article/ce0daa0c88814ff387a69ea3f42ca9eb
Autor:
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, Mukovhe Ratshitanga, Prathaban Moodley
Publikováno v:
Energy Conversion and Management: X, Vol 24, Iss , Pp 100772- (2024)
The regional energy demand for Southern Africa has been predicted to increase by ten to fourteen times between the years 2010 and 2070. Thus, to address the proliferation of energy demand, South Africa’s integrated resource plan, which includes usi
Externí odkaz:
https://doaj.org/article/b446e4022a454226835b1e3545884181
Autor:
Shilpa Ankalaki
Publikováno v:
IEEE Access, Vol 12, Pp 93450-93486 (2024)
Human activity recognition (HAR) has attracted considerable research attention due to its essential role in various domains, ranging from healthcare to security, safety, and entertainment. HAR has undergone a paradigm shift from simple single-task de
Externí odkaz:
https://doaj.org/article/779ebc917034410b83625ad863d61c3e
Publikováno v:
IEEE Access, Vol 12, Pp 34800-34819 (2024)
Industry 4.0 is fundamentally based on networked systems. Real-time communication between machines, sensors, devices, and people makes it easier to transmit the data needed to make decisions. Informed decision-making is empowered by the comprehensive
Externí odkaz:
https://doaj.org/article/4375c0a97ba74154afad909c8dbd60ea
Autor:
Irfan Ali Kandhro, Selvakumar Manickam, Kanwal Fatima, Mueen Uddin, Urooj Malik, Anum Naz, Abdulhalim Dandoush
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31488- (2024)
Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays a crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly when combined with pre-trained deep learning models, have shown pr
Externí odkaz:
https://doaj.org/article/eb5e6c19cb244d89910ff1616739d677
Autor:
Girish Kumar N G, Sree Ranga Raju M N
Publikováno v:
Intelligent and Converged Networks, Vol 4, Iss 3, Pp 237-260 (2023)
Reconfigurable Intelligent Surfaces (RIS) have emerged as a promising technology for improving the reliability of massive MIMO communication networks. However, conventional RIS suffer from poor Spectral Efficiency (SE) and high energy consumption, le
Externí odkaz:
https://doaj.org/article/543f942f32e946da9d2cc9ed99680213
Autor:
Tran DinhHieu, Nguyen HongGiang, Wang YuRen, Phan KhacHai, Phu ThiTuyetNga, Le DuyPhuong, Nguyen TienThinh
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 594-619 (2023)
The geological condition of Ho Chi Minh (HCM) City is soft soil and high groundwater and includes two main structural layers such as Pleistocene and Holocene sediments. Therefore, deep excavation of all the high-rise buildings in the city is usually
Externí odkaz:
https://doaj.org/article/f06dd7e238f64cc1a2b8e2252c3ed95c
Publikováno v:
Electronic Research Archive, Vol 31, Iss 8, Pp 4843-4861 (2023)
Optical coherence tomography (OCT) is a noninvasive, high-resolution imaging technique widely used in clinical practice to depict the structure of the retina. Over the past few decades, ophthalmologists have used OCT to diagnose, monitor, and treat r
Externí odkaz:
https://doaj.org/article/a9926caf04c949e8bd3b8d8afe63d6cc
Publikováno v:
Electronic Research Archive, Vol 31, Iss 3, Pp 1365-1386 (2023)
This paper models stochastic process of price time series of $ CSI $ $ 300 $ index in Chinese financial market, analyzes volatility characteristics of intraday high-frequency price data. In the new generalized Barndorff-Nielsen and Shephard model, th
Externí odkaz:
https://doaj.org/article/3b7f99a3c41845c68735c824c06d597c