Zobrazeno 1 - 10
of 674
pro vyhledávání: '"JIANPING FAN"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8501-8524 (2024)
Abstract Multi-attribute group decision-making is an important research field in decision science, and its theories and methods have been widely applied to engineering, economics and management. However, as the information embedded volume and complex
Externí odkaz:
https://doaj.org/article/0333b91716c342a0aa3e2809e316d4ef
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Exploiting the utility of near-term quantum devices is a long-standing challenge whereas hybrid quantum machine learning emerges as a promising candidate. Here we propose a quantum-enhanced deep generative algorithm based on programmable qua
Externí odkaz:
https://doaj.org/article/4077bc2adcb641a09913742b588dcba3
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundGastric cancer (GC) is one of the leading causes of cancer-related death in China, and with the extensive development of conversion therapy, the treatment of advanced unresectable gastric cancer (AUGC) patients has ushered in a new dawn. Th
Externí odkaz:
https://doaj.org/article/527a3a439efb470f8f9ffb4819e57f99
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-28 (2024)
Abstract Image restoration is a prominent field of research in computer vision. Restoring broken paintings, especially ancient Chinese artworks, is a significant challenge for current restoration models. The difficulty lies in realistically reinstati
Externí odkaz:
https://doaj.org/article/fde307f316764ce59b5d062ee6e86259
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5213-5260 (2024)
Abstract The large-scale multi-attribute group decision-making (LSMAGDM) problem has become a hot research topic in the field of decision science. An R-numbers large-scale multi-attribute group decision-making (R-LSMAGDM) model is proposed to be cons
Externí odkaz:
https://doaj.org/article/d3b071e6828342eaa7d1cef2c83bd101
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 55-74 (2024)
Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiven
Externí odkaz:
https://doaj.org/article/8e9d02b7e07c4f36bb68ef97b85131f3
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 3, Pp 715-725 (2024)
E-governance is capable of driving the transition of government from an administrative power allocation of public resources to a citizen-service-oriented governance model. However, during this transformation, various governmental bodies often face t
Externí odkaz:
https://doaj.org/article/cf3074deeb1245fb9735760b5f5c0ebf
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 927-947 (2023)
Abstract Petroleum is the main power of automobiles, yet the environmental pollution it brings has caused globally. The promotion of new energy vehicles (NEVs) is effective. Even though the governments have introduced various supports for the popular
Externí odkaz:
https://doaj.org/article/a4ba5c3993ae437abfc26d3b22274fed
Autor:
Jianping FAN, Jinmin SONG, Shugen LIU, Qingchun JIANG, Zhiwu LI, Di YANG, Xin JIN, Wang SU, Yuehao YE, Shipeng HUANG, Jiarui WANG, Hua JIANG, Ping LUO
Publikováno v:
Shiyou shiyan dizhi, Vol 45, Iss 4, Pp 726-738 (2023)
From the Late Carboniferous to the end of Middle Permian, the most intense glacial event in history of Phanerozoic occurred and it is also the last transition period from icehouse stage to greenhouse stage in geological history. In this paper, the pa
Externí odkaz:
https://doaj.org/article/3681b9a8dc784d01aae1a3ba974386ba
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract Demonstrating the practical advantage of quantum computation remains a long-standing challenge whereas quantum machine learning becomes a promising application that can be resorted to. In this work, we investigate the practical advantage of
Externí odkaz:
https://doaj.org/article/0417a5bc9f844928abe54aed79d36c76