A Machine-Learning Approach to Time Discrimination

被引:0
|
作者
Hansen, Peter [1 ]
机构
[1] Siemens Mol Imaging, Knoxville, TN 37932 USA
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Machine-Learning methods can be used to provide fast and accurate time discrimination of pulses from detectors used in medical scanner applications. This approach uses multiple samples before and after a pulse crosses a threshold to estimate the starting time of an input pulse.
引用
收藏
页码:2132 / 2133
页数:2
相关论文
共 50 条
  • [21] Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base
    Zhang, Yang
    Shang, Lan
    Chen, Chaoyue
    Ma, Xuelei
    Ou, Xuejin
    Wang, Jian
    Xia, Fan
    Xu, Jianguo
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [22] Machine-learning techniques for geochemical discrimination of 2011 Tohoku tsunami deposits
    Tatsu Kuwatani
    Kenji Nagata
    Masato Okada
    Takahiro Watanabe
    Yasumasa Ogawa
    Takeshi Komai
    Noriyoshi Tsuchiya
    Scientific Reports, 4
  • [23] Machine-learning techniques for geochemical discrimination of 2011 Tohoku tsunami deposits
    Kuwatani, Tatsu
    Nagata, Kenji
    Okada, Masato
    Watanabe, Takahiro
    Ogawa, Yasumasa
    Komai, Takeshi
    Tsuchiya, Noriyoshi
    SCIENTIFIC REPORTS, 2014, 4
  • [24] A Machine-learning based Unbiased Phishing Detection Approach
    Shirazi, Hossein
    Zweigle, Landon
    Ray, Indrakshi
    PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (SECRYPT), VOL 1, 2020, : 423 - 430
  • [25] Automotive Feature Coordination based on a Machine-Learning Approach
    Dominka, Sven
    Tabrizi, Sarah
    Mandl, Michael
    Duebner, Michael
    2021 IEEE 11TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2021, : 726 - 731
  • [26] Machine-learning approach improves deepwater facility uptime
    Singh, Ajay
    Sankaran, Sathish
    Ambre, Sachin
    1600, Society of Petroleum Engineers (SPE) (72): : 54 - 55
  • [27] A machine-learning approach for nonalcoholic steatohepatitis susceptibility estimation
    Fatemeh Ghadiri
    Abbas Ali Husseini
    Oğuzhan Öztaş
    Indian Journal of Gastroenterology, 2022, 41 : 475 - 482
  • [28] Prediction of Nucleophilicity and Electrophilicity Based on a Machine-Learning Approach
    Liu, Yidi
    Yang, Qi
    Cheng, Junjie
    Zhang, Long
    Luo, Sanzhong
    Cheng, Jin-Pei
    CHEMPHYSCHEM, 2023, 24 (14)
  • [29] A machine-learning approach to multi-robot coordination
    Wang, Ying
    de Silva, Clarence W.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (03) : 470 - 484
  • [30] Interactive Reconstructive Student Modeling: A Machine-Learning Approach
    International Journal of Human-Computer Interaction, 7 (04):