Sensor multifault diagnosis with improved support vector machines
In this paper, two multifault diagnosis methods based on improved support vector machine
(SVM) are proposed for sensor fault detection and identification respectively. First, online …
(SVM) are proposed for sensor fault detection and identification respectively. First, online …
Composite fault diagnosis methodology for urban vehicular ad hoc network
BR Senapati, PM Khilar, RR Swain - Vehicular Communications, 2021 - Elsevier
Abstract Vehicular Ad-hoc NETwork (VANET) is a meteoric growing research area due to the
technological advancement in sensing, computation, communication, and radio wireless …
technological advancement in sensing, computation, communication, and radio wireless …
Fault diagnosis in wireless sensor network using negative selection algorithm and support vector machine
S Mohapatra, PM Khilar - Computational Intelligence, 2020 - Wiley Online Library
In this article, an improved negative selection algorithm (INSA) has been proposed to
identify faulty sensor nodes in wireless sensor network (WSN) and then the faults are …
identify faulty sensor nodes in wireless sensor network (WSN) and then the faults are …
A multiclassification method for iris data based on the hadamard error correction output code and a convolutional network
Y Cheng, Y Liu, X Zhu, S Li - IEEE Access, 2019 - ieeexplore.ieee.org
Although there have been many successful multiclassification models in the field of image
recognition in recent years, adding new classes to the trained models remains a research …
recognition in recent years, adding new classes to the trained models remains a research …
[图书][B] PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28–31, 2018 …
This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed
proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held …
proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held …
Subclass maximum margin tree error correcting output codes
F Zheng, H Xue - Pacific Rim International Conference on Artificial …, 2018 - Springer
Abstract Error Correcting Output Codes (ECOC) is an effective method to handle multi-class
classification problems, whose performance is heavily affected by encoding strategies …
classification problems, whose performance is heavily affected by encoding strategies …
Sensor fault identification based on Error-Correcting Output Codes method
In this paper, we proposed a method within the framework of Error-Correcting Output Codes
(ECOC) to solve sensor fault feature extraction and online identification problem. Time and …
(ECOC) to solve sensor fault feature extraction and online identification problem. Time and …
A New Network Traffic Classification Method Based on Optimized Hadamard Matrix and ECOC-SVM
HZ Wang, LH Yan - Advanced Materials Research, 2014 - Trans Tech Publ
The traditional network traffic classification methods have many shortcomings, the
classification accuracy is not high, the encrypted traffic cannot be analyzed, and the …
classification accuracy is not high, the encrypted traffic cannot be analyzed, and the …
Study on fault diagnosis method for nuclear power plant based on hadamard error-correcting output code
Y Mu, GM Sheng, PN Sun - IOP Conference Series: Materials …, 2017 - iopscience.iop.org
The technology of real-time fault diagnosis for nuclear power plants (NPP) has great
significance to improve the safety and economy of reactor. The failure samples of nuclear …
significance to improve the safety and economy of reactor. The failure samples of nuclear …