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Task-Similarity Guided Progressive Deep Neural Network and Its Learning [PDF]
Jisuanji kexue yu tansuo, 2023 Continuous learning aims at continuously learn multiple tasks, and can use the knowledge of previous tasks to help the learning of current task without catastrophic forgetting.
WU Chu, WANG Shitong
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A Method for Yaw Error Alignment of Wind Turbine Based on LiDAR
IEEE Access, 2020 Yaw control is an important part of the control system of a horizontal shaft wind turbine. After the installation of the wind turbine, the turbulence influence of the wind turbine blades and the azimuth of the wind turbine will cause yaw error which ...
Le Zhang, Qiang Yang
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Technique for IoT malware detection based on control flow graph analysis
Радіоелектронні і комп'ютерні системи, 2022 The Internet of Things (IoT) refers to the millions of devices around the world that are connected to the Internet. Insecure IoT devices designed without proper security features are the targets of many Internet threats.
Kira Bobrovnikova +4 more
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Least Squares Support Vector Machine for Minimizing VC Dimensional Expectation Upper Bound [PDF]
Jisuanji kexue yu tansuo, 2023 Machine learning is an important aspect of modern computer technology, and the support vector machine method has been widely used in all walks of life because of its good performance in recent years.
LI Hao, WANG Shitong
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Transfer Learning Boosting for Weight Optimization Under Multi-source Domain Distribution [PDF]
Jisuanji kexue yu tansuo, 2023 The deep decision tree transfer learning Boosting method (DTrBoost) can only adapt to the training data of one source domain and one target domain, and can not adapt to the samples of several different distribution source domains.
LI Yunbo, WANG Shitong
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Energies, 2020 The gearbox is a key sub-component of a wind power generation system with high failure rate leading to shutdowns. By monitoring the abrasive particles in the lubricating oil when the gearbox is running, any abnormal condition of the gearbox can be found ...
Le Zhang, Qiang Yang
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Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
IEEE Access, 2020 This paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate ...
Ruinan Zhao, Yanxia Shen
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IEEE Access, 2021 A trusted execution environment (TEE) is a new hardware security feature that is isolated from a normal OS (i.e., rich execution environment (REE)). The TEE enables us to run a critical process, but the behavior is invisible from the normal OS, which ...
Kuniyasu Suzaki +3 more
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Enabling real-time road anomaly detection via mobile edge computing
International Journal of Distributed Sensor Networks, 2019 To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods
Zengwei Zheng +4 more
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Framework-based security measures for Internet of Thing: A literature review
Open Computer Science, 2021 This paper presents a review of state-of-the-art security frameworks for IoT applications. It aims to find out what alternatives have been proposed to guide IoT application developers in the implementation of security measures through all development ...
Rueda-Rueda Johan Smith +1 more
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