Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Yinan"'
Anomaly detection is a long-standing challenge in manufacturing systems. Traditionally, anomaly detection has relied on human inspectors. However, 3D point clouds have gained attention due to their robustness to environmental factors and their abilit
Externí odkaz:
http://arxiv.org/abs/2408.16201
Autor:
Wang, Yinan
Smart manufacturing is a revolutionary domain integrating advanced sensing technology, machine learning methods, and the industrial internet of things (IIoT). The development of sensing technology provides large amounts and various types of data (e.g
Externí odkaz:
http://hdl.handle.net/10919/110122
We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this study, we refined the pin-RF design for easy assembly using reusable m
Externí odkaz:
http://arxiv.org/abs/2406.02718
Autor:
Wang, Yinan, Fernández-Godino, M. Giselle, Gunawardena, Nipun, Lucas, Donald D., Yue, Xiaowei
Industrial accidents, chemical spills, and structural fires can release large amounts of harmful materials that disperse into urban atmospheres and impact populated areas. Computer models are typically used to predict the transport of toxic plumes by
Externí odkaz:
http://arxiv.org/abs/2406.02582
Autor:
Chang, Chih-Wei, Tian, Zhen, Qiu, Richard L. J., McGinnis, H. Scott, Bohannon, Duncan, Patel, Pretesh, Wang, Yinan, Yu, David S., Patel, Sagar A., Zhou, Jun, Yang, Xiaofeng
This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness
Externí odkaz:
http://arxiv.org/abs/2405.09891
Machine learning (ML) methods are widely used in industrial applications, which usually require a large amount of training data. However, data collection needs extensive time costs and investments in the manufacturing system, and data scarcity common
Externí odkaz:
http://arxiv.org/abs/2404.00572
This letter considers the design of linear-phase finite-length impulse response (FIR) filters for equalization of the frequency responses of digital-to-analog converters (DACs). The letter derives estimates for the filter orders required, as function
Externí odkaz:
http://arxiv.org/abs/2402.12075
Autor:
Gu, Haidong, Gaw, Nathan, Wang, Yinan, Johnstone, Chancellor, Beauchene, Christine, Yuditskaya, Sophia, Rao, Hrishikesh, Chou, Chun-An
Discovering human cognitive and emotional states using multi-modal physiological signals draws attention across various research applications. Physiological responses of the human body are influenced by human cognition and commonly used to analyze co
Externí odkaz:
http://arxiv.org/abs/2401.02905
Autor:
Ma, Chaoqiong, Zhou, Jun, Chang, Chih-Wei, Wang, Yinan, Patel, Pretesh R., Yu, David S., Tian, Sibo, Yang, Xiaofeng
Purpose: This study explored the feasibility of a streamlined pin-shaped ridge filter (pin-RF) design for single-energy proton FLASH planning. Methods: An inverse planning framework integrated within a TPS was established for FLASH planning. The fram
Externí odkaz:
http://arxiv.org/abs/2306.12304