Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Xuesong Yin"'
Autor:
Riko I Made, Jing Lin, Jintao Zhang, Yu Zhang, Lionel C.H. Moh, Zhaolin Liu, Ning Ding, Sing Yang Chiam, Edwin Khoo, Xuesong Yin, Guangyuan Wesley Zheng
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109416- (2024)
Summary: Battery health assessment and recuperation play crucial roles in the utilization of second-life Li-ion batteries. However, due to ambiguous aging mechanisms, it is challenging to estimate battery health and devise an effective strategy for c
Externí odkaz:
https://doaj.org/article/dde6c07fa10c40e79eb82bb2ccc47e47
Autor:
Lirong Wang, Guodao Zhang, Xuesong Yin, Hongkai Zhang, Mahsa H. Kashani, Thendiyath Roshni, Sarita Gajbhiye Meshram
Publikováno v:
Applied Water Science, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Scour hole that occurs downstream of the hydraulic structures threatens the safety and stability of the hydraulic structures. The scour around the structures is a complex and important hydraulic phenomenon; hence, it requires a data extensiv
Externí odkaz:
https://doaj.org/article/79f65e9bda234eb7b2854a3ab7078b70
Publikováno v:
IEEE Access, Vol 10, Pp 86962-86978 (2022)
Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constrain
Externí odkaz:
https://doaj.org/article/97cd3c3f54024b009ec82b23fb2d0762
Publikováno v:
IEEE Access, Vol 9, Pp 155087-155102 (2021)
Nonnegative Matrix Factorization (NMF) is a popular technique for machine learning. Its power is that it can decompose a nonnegative matrix into two nonnegative factors whose product well approximates the nonnegative matrix. However, the nonnegative
Externí odkaz:
https://doaj.org/article/db0a143a19724eb7bfdd940008da7445
Autor:
Xuesong Yin, Liu Wang, Yeongae Kim, Ning Ding, Junhua Kong, Dorsasadat Safanama, Yun Zheng, Jianwei Xu, Durga Venkata Maheswar Repaka, Kedar Hippalgaonkar, Seok Woo Lee, Stefan Adams, Guangyuan Wesley Zheng
Publikováno v:
Advanced Science, Vol 7, Iss 19, Pp n/a-n/a (2020)
Abstract Polymer‐based solid‐state electrolytes are shown to be highly promising for realizing low‐cost, high‐capacity, and safe Li batteries. One major challenge for polymer solid‐state batteries is the relatively high operating temperatur
Externí odkaz:
https://doaj.org/article/10a8ef5b7b3a405eb5beeac53c5656b8
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems; 2024, Vol. 11 Issue 2, p1-9, 9p
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Autor:
Xuesong Yin, Berta Mañas Alcaide, Christel Pesme, Qiang Li, Jingyi Zhang, Hui Kim HUI, Yu Yu Ko Hnin, Poh Chong Lim, Ning Ding, Qiang Zhu, Nguk Neng Tham, Sing Yang Chiam, Hongjie Luo
Ancient ceramics have profound influences on the living habits of human beings. The emergence of high-fired polychromic glazes during Tang period (618–907 AD) highlights a significant advancement in ceramic history that reflected inter-civilization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c291af72f700fcd5ffd7a0f423d52f
https://doi.org/10.21203/rs.3.rs-2540579/v1
https://doi.org/10.21203/rs.3.rs-2540579/v1
Autor:
Jiawei Mao, Xuesong Yin, Guodao Zhang, Bowen Chen, Yuanqi Chang, Weibin Chen, Jieyue Yu, Yigang Wang
Publikováno v:
Computers in biology and medicine. 147
Semi-supervised learning has become a popular technology in recent years. In this paper, we propose a novel semi-supervised medical image classification algorithm, called Pseudo-Labeling Generative Adversarial Networks (PLGAN), which only uses a smal