LIN,CHUN-LING

查看斯高帕斯 (Scopus) 概要

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查看啟用 LIN,CHUN-LING 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

1 類似的個人檔案

40 會議投稿
32 文章

Application of EEG-Based Machine Learning in Time–Frequency and Brain Connectivity Analysis Among Individuals at High Risk of Internet Gaming Disorder with Social Anxiety
Yeh, P. Y., Lin, C. L., Sun, C. K. & Tung, S. Y., 4月 2026, 於: International Journal of Mental Health and Addiction. 24, 2, p. 1841-1864 24 p.
研究成果: 期刊貢獻 › 文章 › 同行評審
1 引文斯高帕斯（Scopus）
Cognitive and physiological effects of Zentangle practice: Insights from EEG and ECG
Chun-Ling, L., Ting-Chien, C., Chao-Shun, Y., Tzyy-Ping, J., Yao-Tien, C. & Usman, M., 3月 2026, 於: Current Psychology. 45, 6, 621.
研究成果: 期刊貢獻 › 文章 › 同行評審
EEG-Based Prediction of Concentration Rank During Zentangle Practice Using Frequency-Specific Features and Machine Learning
Chuang, T. C., Usman, M., Chen, Y. T. & Lin, C. L., 2026, Proceeddings of the 2026 International Conference on Artificial Life and Robotics, ICAROB 2026. Ito, T., Jia, Y., Lee, J.-J. & Sugisaka, M. (編輯). ALife Robotics Corporation Ltd, p. 862-865 4 p. (Proceedings of International Conference on Artificial Life and Robotics).
研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審
Efficient Liver and Tumor Segmentation Using a Compact Residual Network and Contrast-Enhanced Pre-Processing Pipeline
Lin, C. L. & Liu, B. Y., 2026, (Accepted/In press) 於: IEEE Journal of Biomedical and Health Informatics.
研究成果: 期刊貢獻 › 文章 › 同行評審

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1 引文斯高帕斯（Scopus）
Automated Machine Learning Approach to Prioritize Psychological Features in Identifying Social Media and Internet Gaming Addictions
Yeh, P. Y., Lin, C. L., Wei, C. S., Lee, J. J. & Wang, K. X., 2025, Proceedings - 2025 2nd International Conference on Artificial Intelligence for Medicine, Health and Care, AIxMHC 2025. Institute of Electrical and Electronics Engineers Inc., p. 54-57 4 p. (Proceedings - 2025 2nd International Conference on Artificial Intelligence for Medicine, Health and Care, AIxMHC 2025).
研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

林君玲

個人檔案

指紋

過去五年中的合作和熱門研究領域

深入探索詳細資料

Application of EEG-Based Machine Learning in Time–Frequency and Brain Connectivity Analysis Among Individuals at High Risk of Internet Gaming Disorder with Social Anxiety

Cognitive and physiological effects of Zentangle practice: Insights from EEG and ECG

EEG-Based Prediction of Concentration Rank During Zentangle Practice Using Frequency-Specific Features and Machine Learning

Efficient Liver and Tumor Segmentation Using a Compact Residual Network and Contrast-Enhanced Pre-Processing Pipeline

Automated Machine Learning Approach to Prioritize Psychological Features in Identifying Social Media and Internet Gaming Addictions

林 君玲

個人檔案

指紋

過去五年中的合作和熱門研究領域

研究成果

Application of EEG-Based Machine Learning in Time–Frequency and Brain Connectivity Analysis Among Individuals at High Risk of Internet Gaming Disorder with Social Anxiety

Cognitive and physiological effects of Zentangle practice: Insights from EEG and ECG

EEG-Based Prediction of Concentration Rank During Zentangle Practice Using Frequency-Specific Features and Machine Learning

Efficient Liver and Tumor Segmentation Using a Compact Residual Network and Contrast-Enhanced Pre-Processing Pipeline

Automated Machine Learning Approach to Prioritize Psychological Features in Identifying Social Media and Internet Gaming Addictions

林君玲