Zobrazeno 1 - 10
of 1 691
pro vyhledávání: '"Ren Kai"'
Publikováno v:
Heliyon, Vol 8, Iss 9, Pp e10598- (2022)
Internal audit quality is the foundation for a company's survival and development across the world. As a result, global efforts have been made to develop a scientific and accurate evaluation index for internal audit quality. However, literature shows
Externí odkaz:
https://doaj.org/article/705d330b706e46adab3aa1209a8b5031
Autor:
Zhou, Nan, Zou, Ke, Ren, Kai, Luo, Mengting, He, Linchao, Wang, Meng, Chen, Yidi, Zhang, Yi, Chen, Hu, Fu, Huazhu
The Medical Segment Anything Model (MedSAM) has shown remarkable performance in medical image segmentation, drawing significant attention in the field. However, its sensitivity to varying prompt types and locations poses challenges. This paper addres
Externí odkaz:
http://arxiv.org/abs/2409.00924
Autor:
Hsu, Ying-Chieh, Liu, Stanley Yung-Chuan, Huang, Chao-Jung, Wu, Chi-Wei, Cheng, Ren-Kai, Hsu, Jane Yung-Jen, Huang, Shang-Ran, Cheng, Yuan-Ren, Hsu, Fu-Shun
This study investigates the application of machine/deep learning to classify snoring sounds excited at different levels of the upper airway in patients with obstructive sleep apnea (OSA) using data from drug-induced sleep endoscopy (DISE). The snorin
Externí odkaz:
http://arxiv.org/abs/2408.16030
Autor:
Zou, Ke, Bai, Yang, Chen, Zhihao, Zhou, Yang, Chen, Yidi, Ren, Kai, Wang, Meng, Yuan, Xuedong, Shen, Xiaojing, Fu, Huazhu
Medical Report Grounding is pivotal in identifying the most relevant regions in medical images based on a given phrase query, a critical aspect in medical image analysis and radiological diagnosis. However, prevailing visual grounding approaches nece
Externí odkaz:
http://arxiv.org/abs/2404.06798
We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty. Specifically, we consider the uncertainty that arises from predicting future behaviors of moving obstacles, which may exhibit mul
Externí odkaz:
http://arxiv.org/abs/2401.03799
Interpretability is a key concern in estimating heterogeneous treatment effects using machine learning methods, especially for healthcare applications where high-stake decisions are often made. Inspired by the Predictive, Descriptive, Relevant framew
Externí odkaz:
http://arxiv.org/abs/2310.06746
To better care for the elderly and disabled, it is essential for service robots to have an effective fusion method of object detection and grasp estimation. However, limited research has been observed on the combination of object detection and grasp
Externí odkaz:
http://arxiv.org/abs/2307.11783
Recently, Segmenting Anything has taken an important step towards general artificial intelligence. At the same time, its reliability and fairness have also attracted great attention, especially in the field of health care. In this study, we propose m
Externí odkaz:
http://arxiv.org/abs/2307.04973
Autor:
Ren, Kai
Credit risk in the China's bond market has become increasingly evident, creating a progressively escalating risk of default for credit bond investors. Given the current incomplete and inaccurate bond information disclosure, timely tracking and foreca
Externí odkaz:
http://arxiv.org/abs/2305.12142
Autor:
Ren, Kai
This paper presents an empirical analysis of the capital asset pricing model using trading data for the Chinese A-share market from 2000 to 2019. Firstly, the standard CAPM is tested using a Fama-MacBetch regression and although the results successfu
Externí odkaz:
http://arxiv.org/abs/2305.04838