Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Hao Peng"'
Autor:
Lifang He, Lianzhong Liu, Zhifeng Hao, Zakirul Alam Bhuiyan, Hao Peng, Xiaohang Xu, Lichao Sun
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:4788-4797
Depression is one of the most common mental illness problems, and the symptoms shown by patients are not consistent, making it difficult to diagnose in the process of clinical practice and pathological research. Although researchers hope that artific
Publikováno v:
Future Generation Computer Systems. 128:158-166
Anomaly detection for smart contracts can effectively prevent hidden security risks such as financial fraud, illegal financing, and money laundering. Ethereum is currently the largest platform for smart contracts, and anomaly detection is imminent. H
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:708-722
A rising number of organizations are showing a growing willingness to leverage cyber threat intelligence (CTI) for obtaining a full picture of cyber threat situation. Owing to the limited labels of cyber threat infrastructure nodes involved in CTI, a
Autor:
Xiaoli Bai, Hao Peng
Publikováno v:
Journal of Spacecraft and Rockets. 58:1636-1651
This paper proposes a novel machine learning (ML) gyro calibration method that can achieve higher-accuracy gyro calibration and attitude estimation than the classical extended Kalman filter (EKF) a...
Autor:
Lifang He, Senzhang Wang, Hao Peng, Mingzhe Liu, Bowen Du, Mingsheng Liu, Xu Zhang, Shumei Ji
Publikováno v:
Information Sciences. 578:401-416
Exploiting deep learning techniques for traffic flow prediction has become increasingly widespread. Most existing studies combine CNN or GCN with recurrent neural network to extract the spatio-temporal features in traffic networks. The traffic networ
Publikováno v:
Medical Physics. 48:4485-4497
PURPOSE In vivo range and dose verification based on proton-induced acoustics (protoacoustics) is potentially a useful tool for proton therapy. Built upon our previous study with two-dimensional reconstruction, the time reversal (TR) method was exten
Autor:
Hao Peng, Xiaoli Bai
Publikováno v:
Acta Astronautica. 184:222-240
Orbit prediction accuracy is often limited by the underlying physics-based models and estimation methods. Instead of advancing the state-of-the-art from those two aspects, we have recently developed a physics-based machine learning (ML) methodology t
Autor:
Qiran Gong, Bo Li, Lifang He, Hao Peng, Jianxin Li, Senzhang Wang, Philip S. Yu, Renyu Yang, Lihong Wang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:2505-2519
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in representation learning and are widely used in various text mining tasks such as large-scale multi-label text classification. Most existing deep models for multi-label text classificat
Publikováno v:
Computers & Graphics. 95:60-68
Using stacked models for 3D printing could significantly improve printing efficiency and save printing time. For standard 3D printing techniques like Fused Deposition Modeling (FDM) or Digital Light Processing (DLP), support structures are required f
Publikováno v:
Future Generation Computer Systems. 115:76-89
The evolution and development of breaking news events usually present regular patterns, leading to the happening of sequential events. Therefore, the analysis of such evolutionary patterns among events and prediction to breaking news events from free