Zobrazeno 1 - 10
of 20 109
pro vyhledávání: '"Knowledge Graph"'
Autor:
Chengbin Hou, Kaichuang Liu, Tianheng Wang, Shunzhong Shi, Yan Li, Yunqiang Zhu, Xiumian Hu, Chengshan Wang, Chenghu Zhou, Hairong Lv
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 1073-1085 (2024)
Abstract Deep‐time Digital Earth (DDE) is an innovative international big science program, focusing on scientific propositions of earth evolution, changing Earth Science by coordinating global geoscience data, and sharing global geoscience knowledg
Externí odkaz:
https://doaj.org/article/e91bb9d1a55548e195e8d4ab1a20c91e
Autor:
Gardasevic, Stanislava, Lamba, Manika
Publikováno v:
Digital Library Perspectives, 2024, Vol. 40, Issue 4, pp. 493-517.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLP-02-2024-0025
Publikováno v:
International Journal of Contemporary Hospitality Management, 2024, Vol. 36, Issue 12, pp. 4296-4318.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-12-2023-1849
Publikováno v:
The Electronic Library, 2024, Vol. 42, Issue 3, pp. 455-482.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-02-2023-0053
Autor:
Andrey A. Litvin, Sophiya B. Rumovskaya, Belinda De Simone, Lucienne Kasongo, Massimo Sartelli, Federico Coccolini, Luca Ansaloni, Ernest E. Moore, Walter Biffl, Fausto Catena
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-6 (2024)
Abstract Background The quality of Big Data analysis in medicine and surgery heavily depends on the methods used for clinical data collection, organization, and storage. The Knowledge Graph (KG) represents knowledge through a semantic model, enhancin
Externí odkaz:
https://doaj.org/article/c450dbeacc2d4188b2217ab9b93ae262
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Recommender systems are of increasing importance owing to the growth of social networks and the complexity of user behavior, and cater to the personalized needs of users. To improve recommendation performance, several methods have emerged an
Externí odkaz:
https://doaj.org/article/d001f36a945f40e4b5290e86878bd583
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 17, Pp 2595-2613 (2024)
Huishang Feng,1,2 Yeping Qin,3 Yuanwen Li,4 Shuo Li,5 Yuyi Zheng,6 Juntang Yan,6 Rongting Xu,6 Shulin Yu,7 Ru Liang,7 Jiayu Wang,7 Huiqin Zou6,7 1Department of Dermatology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, People
Externí odkaz:
https://doaj.org/article/ca734949cc8e4b5f93c53a83d02767d2
Autor:
Gintautas Kamuntavičius, Alvaro Prat, Tanya Paquet, Orestis Bastas, Hisham Abdel Aty, Qing Sun, Carsten B. Andersen, John Harman, Marc E. Siladi, Daniel R. Rines, Sarah J. L. Flatters, Roy Tal, Povilas Norvaišas
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-18 (2024)
Abstract Background Target identification and hit identification can be transformed through the application of biomedical knowledge analysis, AI-driven virtual screening and robotic cloud lab systems. However there are few prospective studies that ev
Externí odkaz:
https://doaj.org/article/fc2e42e9681d4f3a8b63efc81a460d6d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The rapid advancement of artificial intelligence has significantly expanded the role of service robots in everyday life. This expansion necessitates the accurate recognition and prediction of human intentions to provide timely and appropriat
Externí odkaz:
https://doaj.org/article/911849af24d84f88aefed78fe127adac
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Ancient Chinese classics embody and transmit the intellectual heritage of China across generations. These texts, rich in enduring ideas, narratives, and insights, have been passed down through a lengthy historical process. While digital mode
Externí odkaz:
https://doaj.org/article/ea69a21da99a40969c576e5ee8a56e2e