Convolutional Neural Network (CNN) based Planar Inductor Evaluation and Optimization
Author:
Affiliation:
1. University of Dayton,Department of Electrical and Computer Engineering,Dayton,USA
2. Navitas Semiconductor,Los Angeles,USA
3. North Dakota State University,Electrical and Computer Engineering Department,Fargo,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9773364/9773365/09773675.pdf?arnumber=9773675
Reference23 articles.
1. Experimental Investigation of DC-Bias Related Core Losses in a Boost Inductor
2. Core Loss Evaluation in Powder Cores: A Comparative Comparison between Electrical and Calorimetric Methods
3. A Low-Loss Inductor Structure and Design Guidelines for High-Frequency Applications
4. Design and Evaluation of a High-Frequency LTCC Inductor Substrate for a Three-Dimensional Integrated DC/DC Converter
5. Application Flexibility of a Low-Loss High-Frequency Inductor Structure
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A topology optimization of on-chip planar inductor based on evolutional on/off method and CMA-ES;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;2024-04-02
2. A Privacy Leakage Issue in Qi-compatible Cellphone Wireless Charging by Stray Magnetic Field Sniffing;2024 IEEE Applied Power Electronics Conference and Exposition (APEC);2024-02-25
3. A Data-Driven Model for Power Loss Estimation of Magnetic Materials Based on Multi-Objective Optimization and Transfer Learning;IEEE Open Journal of Power Electronics;2024
4. Sigmoid Kernel Canonical Correlation Analysis (SCKCCA) for PV Output Power and Meteorological Factors;2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT);2023-12-15
5. Output Characteristics of PV Panel Output Considering Different Weather Conditions from Practical Measurement Data;2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT);2023-12-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3