Showing 1 - 14 results of 14 for search 'Timo Hamalainen', query time: 0.06s Refine Results
  1. 1
    A Novel Deep Learning Stack for APT Detection

    A Novel Deep Learning Stack for APT Detection by Tero Bodström, Timo Hämäläinen

    Published 2019-03-01
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  2. 2
    On Apache Log4j2 Exploitation in Aeronautical, Maritime, and Aerospace Communication

    On Apache Log4j2 Exploitation in Aeronautical, Maritime, and Aerospace Communication by Artturi Juvonen, Andrei Costin, Hannu Turtiainen, Timo Hamalainen

    Published 2022-01-01
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  3. 3
    On Attacking Future 5G Networks with Adversarial Examples: Survey

    On Attacking Future 5G Networks with Adversarial Examples: Survey by Mikhail Zolotukhin, Di Zhang, Timo Hämäläinen, Parsa Miraghaei

    Published 2022-12-01
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  4. 4
    On the (In)Security of 1090ES and UAT978 Mobile Cockpit Information Systems–An Attacker Perspective on the Availability of ADS-B Safety- and Mission-Critical Systems

    On the (In)Security of 1090ES and UAT978 Mobile Cockpit Information Systems–An Attacker Perspective on the Availability of ADS-B Safety- and Mission-Critical Systems by Syed Khandker, Hannu Turtiainen, Andrei Costin, Timo Hamalainen

    Published 2022-01-01
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  5. 5
    A Survey on Technologies Which Make Bitcoin Greener or More Justified

    A Survey on Technologies Which Make Bitcoin Greener or More Justified by Henri T. Heinonen, Alexander Semenov, Jari Veijalainen, Timo Hamalainen

    Published 2022-01-01
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  6. 6
    On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples

    On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples by Mikhail Zolotukhin, Parsa Miraghaei, Di Zhang, Timo Hamalainen

    Published 2022-01-01
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  7. 7
    Effects of different speed-accuracy instructions on perception in psychology experiments: evidence from event-related potential and oscillation

    Effects of different speed-accuracy instructions on perception in psychology experiments: evidence from event-related potential and oscillation by Haijian Li, Haijian Li, Xiaoshuang Wang, Timo Hamalainen, Zhaoli Meng

    Published 2024-05-01
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  8. 8
    Assessment of Deep Learning Methodology for Self-Organizing 5G Networks

    Assessment of Deep Learning Methodology for Self-Organizing 5G Networks by Muhammad Zeeshan Asghar, Mudassar Abbas, Khaula Zeeshan, Pyry Kotilainen, Timo Hämäläinen

    Published 2019-07-01
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  9. 9
    Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG

    Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG by Xin Zuo, Chi Zhang, Timo Hämäläinen, Hanbing Gao, Yu Fu, Fengyu Cong

    Published 2022-09-01
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  10. 10
    Decoding brain activities of literary metaphor comprehension: An event-related potential and EEG spectral analysis

    Decoding brain activities of literary metaphor comprehension: An event-related potential and EEG spectral analysis by Lina Sun, Lina Sun, Hongjun Chen, Chi Zhang, Fengyu Cong, Xueyan Li, Timo Hämäläinen

    Published 2022-07-01
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  11. 11
    A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation

    A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation by Xiaobang Sun, Hongkai Wang, Weiying Wang, Nannan Li, Timo Hamalainen, Tapani Ristaniemi, Changjian Liu

    Published 2021-01-01
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  12. 12
    Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks

    Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks by Wenlong Guo, Zheng Chang, Yunfei Su, Xijuan Guo, Timo Hämäläinen, Jian Li, Yuan Li

    Published 2022-10-01
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  13. 13
    Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus

    Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus by Xinyu Hao, Dongying Zheng, Muhanmmad Khan, Lixia Wang, Timo Hämäläinen, Fengyu Cong, Hongming Xu, Kedong Song

    Published 2023-02-01
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  14. 14
    Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study

    Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study by Dongying Zheng, Dongying Zheng, Dongying Zheng, Xinyu Hao, Xinyu Hao, Muhanmmad Khan, Lixia Wang, Fan Li, Ning Xiang, Fuli Kang, Timo Hamalainen, Fengyu Cong, Fengyu Cong, Fengyu Cong, Fengyu Cong, Kedong Song, Chong Qiao

    Published 2022-10-01
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