Yonghang Tai
Orcid: 0000-0001-9186-475X
According to our database1,
Yonghang Tai
authored at least 40 papers
between 2016 and 2024.
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Bibliography
2024
EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network.
EURASIP J. Adv. Signal Process., December, 2024
Detection of SAR Image Multiscale Ship Targets in Complex Inshore Scenes Based on Improved YOLOv5.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Edge device-based real-time implementation of CycleGAN for the colorization of infrared video.
Future Gener. Comput. Syst., December, 2023
Using Beta Rhythm From EEG to Assess Physicians' Operative Skills in Virtual Surgical Training.
IEEE Trans. Hum. Mach. Syst., August, 2023
Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access.
Digit. Commun. Networks, April, 2023
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives.
IEEE Commun. Surv. Tutorials, 2023
Proceedings of the Computer Security - ESORICS 2023, 2023
2022
Land-Sea Target Detection and Recognition in SAR Image Based on Non-Local Channel Attention Network.
IEEE Trans. Geosci. Remote. Sens., 2022
Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization.
Secur. Commun. Networks, 2022
IEEE Internet Things J., 2022
Development and Validation for Extended Reality-Based MIS Simulator Using Cumulative Summation.
Int. J. Hum. Comput. Interact., 2022
Secure medical digital twin via human-centric interaction and cyber vulnerability resilience.
Connect. Sci., 2022
Trustworthy blockchain-based medical Internet of thing for minimal invasive surgery training simulator.
Concurr. Comput. Pract. Exp., 2022
Transfer learning based on lexical constraint mechanism in low-resource machine translation.
Comput. Electr. Eng., 2022
2021
Wirel. Commun. Mob. Comput., 2021
Augmented reality-based visual-haptic modeling for thoracoscopic surgery training systems.
Virtual Real. Intell. Hardw., 2021
Automatically Addressing System for Ultrasound-Guided Renal Biopsy Training Based on Augmented Reality.
IEEE J. Biomed. Health Informatics, 2021
Intelligent Intraoperative Haptic-AR Navigation for COVID-19 Lung Biopsy Using Deep Hybrid Model.
IEEE Trans. Ind. Informatics, 2021
Machine Learning-Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of Things.
Secur. Commun. Networks, 2021
Neural Comput. Appl., 2021
Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access.
IEEE Internet Things J., 2021
2020
Wirel. Commun. Mob. Comput., 2020
IEEE Trans. Ind. Informatics, 2020
Development and assessment of a haptic-enabled holographic surgical simulator for renal biopsy training.
Soft Comput., 2020
Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey.
IEEE Access, 2020
2019
Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness.
Int. J. Distributed Sens. Networks, 2019
Concurr. Comput. Pract. Exp., 2019
IEEE Access, 2019
Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019
2018
IEEE Access, 2018
The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Development of Haptic-Enabled Virtual Reality Simulator for Video-Assisted Thoracoscopic Right Upper Lobectomy.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 26th International Conference on Geoinformatics, 2018
2017
A novel framework for visuo-haptic percutaneous therapy simulation based on patient-specific clinical trials.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Tissue and force modelling on multi-layered needle puncture for percutaneous surgery training.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016