Hasil Pencarian - Chun-Hung Richard Lin

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  1. 1
    Delay and Energy Tradeoff in Energy Harvesting Multi-Hop Wireless Networks With Inter-Session Network Coding and Successive Interference Cancellation

    Delay and Energy Tradeoff in Energy Harvesting Multi-Hop Wireless Networks With Inter-Session Network Coding and Successive Interference Cancellation oleh Jain-Shing Liu, Chun-Hung Richard Lin, Jichiang Tsai

    Diterbitkan 2017-01-01
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  2. 2
    Joint Resource Allocation, User Association, and Power Control for 5G LTE-Based Heterogeneous Networks

    Joint Resource Allocation, User Association, and Power Control for 5G LTE-Based Heterogeneous Networks oleh Jain-Shing Liu, Chun-Hung Richard Lin, Yu-Chen Hu

    Diterbitkan 2020-01-01
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  3. 3
    Joint beamforming and power splitting design for MISO downlink communication with SWIPT: a comparison between cell-free massive MIMO and small-cell deployments

    Joint beamforming and power splitting design for MISO downlink communication with SWIPT: a comparison between cell-free massive MIMO and small-cell deployments oleh Jain-Shing Liu, Chun-Hung Richard Lin, Wan-Ling Chang

    Diterbitkan 2024-04-01
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  4. 4
    Cross-Layer Design for End-to-End Throughput Maximization and Fairness in MIMO Multihop Wireless Networks

    Cross-Layer Design for End-to-End Throughput Maximization and Fairness in MIMO Multihop Wireless Networks oleh Jain-Shing Liu, Chun-Hung Richard Lin, Kuang-Yuan Tung

    Diterbitkan 2010-01-01
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  5. 5
    Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory

    Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory oleh JainShing Liu, Chun-Hung Richard Lin, Yu-Chen Hu, Praveen Kumar Donta

    Diterbitkan 2022-03-01
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  6. 6
    Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus

    Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus oleh Yi-Ling Cheng, Ying-Ru Wu, Kun-Der Lin, Chun-Hung Richard Lin, I-Mei Lin

    Diterbitkan 2023-04-01
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  7. 7
    Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy

    Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy oleh I-Min Chiu, Wun-Huei Zeng, Chi-Yung Cheng, Shih-Hsuan Chen, Chun-Hung Richard Lin

    Diterbitkan 2021-01-01
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  8. 8
    Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring

    Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring oleh I-Min Chiu, Chi-Yung Cheng, Po-Kai Chang, Chao-Jui Li, Fu-Jen Cheng, Chun-Hung Richard Lin

    Diterbitkan 2022-12-01
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  9. 9
    A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments

    A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments oleh Chun-Hung Richard Lin, Chun-Hao Wen, Ying-Chih Lin, Kuang-Yuan Tung, Rung-Wei Lin, Chun-Yuan Lin

    Diterbitkan 2013-01-01
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  10. 10
    Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department

    Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department oleh Chih-Min Tsai, Chun-Hung Richard Lin, Huan Zhang, I-Min Chiu, Chi-Yung Cheng, Hong-Ren Yu, Ying-Hsien Huang

    Diterbitkan 2020-05-01
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  11. 11
    Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study.

    Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study. oleh Yang-Pei Chang, Min-Sheng Lee, Da-Wei Wu, Jui-Hsiu Tsai, Pei-Shan Ho, Chun-Hung Richard Lin, Hung-Yi Chuang

    Diterbitkan 2020-01-01
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  12. 12
    Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma

    Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma oleh Chi-Yung Cheng, Chi-Yung Cheng, I-Min Chiu, I-Min Chiu, Ming-Ya Hsu, Hsiu-Yung Pan, Chih-Min Tsai, Chun-Hung Richard Lin

    Diterbitkan 2021-09-01
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  13. 13
    Risk of motor vehicle collisions after methadone use

    Risk of motor vehicle collisions after methadone use oleh Ya-Hui Yang, Pei-Shan Ho, Trong-Neng Wu, Peng-Wei Wang, Chun-Hung Richard Lin, Jui-Hsiu Tsai, Yue Leon Guo, Hung-Yi Chuang

    Diterbitkan 2021-08-01
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  14. 14
    Increased ischemic stroke risk in patients with Behçet's disease: A nationwide population-based cohort study.

    Increased ischemic stroke risk in patients with Behçet's disease: A nationwide population-based cohort study. oleh Ching-Ying Wu, Hsin-Su Yu, Chee-Yin Chai, Yen-Hsia Wen, Shihn-Sheng Wu, Yang-Pei Chang, Chun-Hung Richard Lin, Jui-Hsiu Tsai, Jui-Hsiu Tsai

    Diterbitkan 2019-01-01
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  15. 15
    Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach

    Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach oleh I-Min Chiu, Jhu-Yin Cheng, Tien-Yu Chen, Yi-Min Wang, Chi-Yung Cheng, Chia-Te Kung, Fu-Jen Cheng, Fei-Fei Flora Yau, Chun-Hung Richard Lin

    Diterbitkan 2022-12-01
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  16. 16
    Is asthma a protective factor for dengue fever? In vitro experiment and nationwide population-based cohort analysis

    Is asthma a protective factor for dengue fever? In vitro experiment and nationwide population-based cohort analysis oleh Hong-Ren Yu, Jui-Hsiu Tsai, Chun-Hung Richard Lin, Jiu-Yao Wang, Yen-Hsia Wen, Shihn-Sheng Wu, Yuan Hou, Ing-Kit Lee, Hung-Pin Tu, Yi-Chen Lee

    Diterbitkan 2019-10-01
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  17. 17
    Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics

    Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics oleh Chi-Yung Cheng, Chi-Yung Cheng, Chia-Te Kung, Fu-Cheng Chen, I-Min Chiu, I-Min Chiu, Chun-Hung Richard Lin, Chun-Chieh Chu, Chien Feng Kung, Chih-Min Su

    Diterbitkan 2022-10-01
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  18. 18
    Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography

    Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography oleh Chi-Yung Cheng, Chi-Yung Cheng, Cheng-Ching Wu, Cheng-Ching Wu, Cheng-Ching Wu, Huang-Chung Chen, Chun-Hui Hung, Tien-Yu Chen, Chun-Hung Richard Lin, I-Min Chiu, I-Min Chiu

    Diterbitkan 2023-08-01
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