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

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Cybersecurity Attacks on Software Logic and Error Handling Within AIS Implementations: A Systematic Testing of Resilience por Syed Khandker, Hannu Turtiainen, Andrei Costin, Timo Hamalainen

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

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

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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 por Syed Khandker, Hannu Turtiainen, Andrei Costin, Timo Hamalainen

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

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

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

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

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

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

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

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

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

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Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study por 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

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