Zobrazeno 1 - 10
of 1 699
pro vyhledávání: '"BI Sheng"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 1, Pp 61-68 (2024)
Research on the risk of runway excursion events is mostly based on accident statistics. Analysis is rarely conducted from flight data and flight operation characteristics. Therefore,based on the QAR(quick access recorder)data,the risk analysi
Externí odkaz:
https://doaj.org/article/74153f11167244adb3dce78d49d9a54b
Autor:
Nur Aisyah Mohamad Daud, Qin Ai Wong, Bi Sheng Ooi, Ching Kheng Quah, Farah Diana Ramzi, Yip-Foo Win, Parutagouda Shankaragouda Patil
Publikováno v:
Chemical Physics Impact, Vol 8, Iss , Pp 100565- (2024)
This paper presents the effects of incorporating thienyl and phenyl rings as the terminal ring in the cinnamoyl counterparts of chalcones with donor-acceptor-donor (D-A-D) push-pull setting, on their photophysical responses. Two fluoro-methoxy substi
Externí odkaz:
https://doaj.org/article/36e1f67a36114af189f8ed31676adb69
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Diamond, a wide bandgap semiconductor material, has excellent physicochemical properties. It has great potential for application in high temperature, high frequency, high power electronic devices and other high technology fields. In order to study th
Externí odkaz:
https://doaj.org/article/30905c6759d84b348ee3849380b68f09
Cross-lingual emotion detection allows us to analyze global trends, public opinion, and social phenomena at scale. We participated in the Explainability of Cross-lingual Emotion Detection (EXALT) shared task, achieving an F1-score of 0.6046 on the ev
Externí odkaz:
http://arxiv.org/abs/2405.17129
Machine unlearning empowers individuals with the `right to be forgotten' by removing their private or sensitive information encoded in machine learning models. However, it remains uncertain whether MU can be effectively applied to Multimodal Large La
Externí odkaz:
http://arxiv.org/abs/2405.12523
Autor:
Ou, Wenfan, Bi, Sheng
Fueled by both advances in robust optimization theory and applications of reinforcement learning, robust Markov Decision Processes (RMDPs) have gained increasing attention, due to their powerful capability for sequential decision-making under uncerta
Externí odkaz:
http://arxiv.org/abs/2404.00940
The attribution of question answering is to provide citations for supporting generated statements, and has attracted wide research attention. The current methods for automatically evaluating the attribution, which are often based on Large Language Mo
Externí odkaz:
http://arxiv.org/abs/2401.14640
Publikováno v:
J. Chem. Phys. 160, 034106 (2024)
Semilocal density-functional approximations (DFAs), including the state-of-the-art SCAN functional, are plagued by the self-interaction error (SIE). While this error is explicitly defined only for one-electron systems, it has inspired the self-intera
Externí odkaz:
http://arxiv.org/abs/2401.11696
Publikováno v:
J. Chem. Phys. 159, 234103 (2023)
XYG3-type doubly hybrid approximations (xDH) have gained a widespread recognition for their accuracy in describing a diverse range of chemical and physical interactions. However, a recent study (J. Phys. Chem. 2021, 12, 800-807) has highlighted the l
Externí odkaz:
http://arxiv.org/abs/2401.04379
Autor:
Bi, Sheng1 (AUTHOR) shengbi@bit.edu.cn, Perkins, Andrew2 (AUTHOR), Chen, Huan3 (AUTHOR), Phifer, Benjamin2 (AUTHOR)
Publikováno v:
Journal of Advertising. Jun/Jul2024, Vol. 53 Issue 3, p377-396. 20p.