Zobrazeno 1 - 10
of 560
pro vyhledávání: '"hybrid intelligence"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionThis study explores the role and potential of large language models (LLMs) and generative intelligence in the fashion industry. These technologies are reshaping traditional methods of design, production, and retail, leading to innovation,
Externí odkaz:
https://doaj.org/article/b419412cb2b6435992a7f25b536127bb
Autor:
Josef Guggemos
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100260- (2024)
Artificial intelligence (AI) has far-reaching implications for education. Within organizations, especially companies, human resource development (HRD) enables and supports learning processes among employees. In a similar way to teachers and lecturers
Externí odkaz:
https://doaj.org/article/36878399d6b346a4985abb8451bd7e75
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 41-50 (2024)
Increase in permeability of renewable energy sources (RESs) leads to the prominent problem of voltage stability in power system, so it is urgent to have a system strength evaluation method with both accuracy and practicability to control its access s
Externí odkaz:
https://doaj.org/article/7bc7935a49a84fd1ad7cf5351c123ebd
Autor:
Shixiong Fan, Jianbo Guo, Shicong Ma, Lixin Li, Guozheng Wang, Haotian Xu, Jin Yang, Zening Zhao
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 1-12 (2024)
With integration of large-scale renewable energy, new controllable devices, and required reinforcement of power grids, modern power systems have typical characteristics such as uncertainty, vulnerability and openness, which makes operation and contro
Externí odkaz:
https://doaj.org/article/437991eb9f4c4468a72cbc53b3dcacd6
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-13 (2023)
Abstract Redundant nodes in a kernel incremental extreme learning machine (KI-ELM) increase ineffective iterations and reduce learning efficiency. To address this problem, this study established a novel improved hybrid intelligent deep kernel increme
Externí odkaz:
https://doaj.org/article/6bde4e8a4c694036965034287233bd6e
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2570 (2024)
To overcome the limitations of single-type intelligent optimization algorithms prone to becoming stuck in local optima for complex problems, a hybrid intelligent optimization algorithm named SDIQ is proposed. This algorithm combines simulated anneali
Externí odkaz:
https://doaj.org/article/c9451f9686af4b49b0a6dc588042acb6
Autor:
Salvatore Flavio Pileggi
Publikováno v:
Future Internet, Vol 16, Iss 8, p 268 (2024)
In the context of the constant evolution and proliferation of AI technology, hybrid intelligence is gaining popularity in reference to a balanced coexistence between human and artificial intelligence. The term has been extensively used over the past
Externí odkaz:
https://doaj.org/article/9849c0335bf848b6b5503ce3cebbfbfa
Autor:
Yuqi Liu, Zhiyong Fu
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4662 (2024)
The unprecedented development of artificial intelligence (AI) makes it possible for computers to imitate and surpass human intelligence (HI). Hybrid intelligence is the result of the co-evolution of AI and HI and has huge application potential in pro
Externí odkaz:
https://doaj.org/article/b2590e41ef8b4167aa016c13311c1f99
Autor:
Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Fang Liu, Xiaowen Liu, Mengning Mu, Shiqi Zhang
Publikováno v:
Energies, Vol 17, Iss 7, p 1708 (2024)
The diagenetic facies of tight oil reservoirs reflect the diagenetic characteristics and micro-pore structure of reservoirs, determining the formation and distribution of sweet spot zones. By establishing the correlation between diagenetic facies and
Externí odkaz:
https://doaj.org/article/59a24b8c88094616b21249efb0582608
Autor:
Ran Wu
Publikováno v:
IEEE Access, Vol 11, Pp 112547-112553 (2023)
The smart evaluation for teaching effect has received much attention, especially in field of vocal music. Currently, such evaluation mainly relies on expert rating, which costs much human labors. Fortunately, the machine learning and deep learning-ba
Externí odkaz:
https://doaj.org/article/0b9611216c334219a570d1dc414ad5df