Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Yunfeng Cai"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 12, Pp 2876-2893 (2023)
Abstract In the transactive energy market (TEM), prosumers are assumed to be rational. However, prosumers’ trading behaviours are affected by many factors (e.g. social relations, personal preferences, and habits). Their trading demands vary in bene
Externí odkaz:
https://doaj.org/article/3e67e1616d714248b1a07c3708249894
Publikováno v:
Geophysical Research Letters, Vol 48, Iss 16, Pp n/a-n/a (2021)
Abstract Ferrimagnetic (FM) and antiferromagnetic (AFM) iron oxide particles are considered pedogenic and climatic indicators due to their enrichment with comparable increasing in rainfall and temperature. However, the opposite changes in rainfall an
Externí odkaz:
https://doaj.org/article/27b645840edc448aa9a96b91bf5859bf
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p4979-4994, 16p
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3170-3178
Bilinear pooling has achieved excellent performance in fine-grained recognition tasks. Nevertheless, high-dimensional bilinear features suffer from over-fitting and inefficiency. To alleviate these issues, compact bilinear pooling (CBP) methods were
Publikováno v:
Numerical Linear Algebra with Applications.
Gradient-type iterative methods for solving Hermitian eigenvalue problems can be accelerated by using preconditioning and deflation techniques. A preconditioned steepest descent iteration with implicit deflation (PSD-id) is one of such methods. The c
Publikováno v:
Neurocomputing. 452:653-664
The two-dimensional principal component analysis (2DPCA) has been one of the basic methods of developing artificial intelligent algorithms. To increase the feasibility, we propose a new general ridge regression model for 2DPCA and variations, with ex
Autor:
Yunfeng Cai, Ping Li
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6868-6876
Tensor decompositions have found many applications in signal processing, data mining, machine learning, etc. In particular, the block term decomposition (BTD), which is a generalization of CP decomposition and Tucker decomposition/HOSVD, has been suc
Publikováno v:
2022 IEEE International Symposium on Information Theory (ISIT).
Publikováno v:
Journal of clinical laboratory analysis. 36(4)
To establish an applicable and highly sensitive patient-based real-time quality control (PBRTQC) program based on a data model constructed with patients' results of a procalcitonin point-of-care testing (POCT) analyzer.Patients' results were retrospe