Continual learning classification method with the weighted k-nearest neighbor rule for time-varying data space based on the artificial immune system

Continual learning classification method for time-varying data space based on artificial immune system

(2021) Dong Li et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A Relation B-cell Network used for data identification and fault diagnosis

(2021) Hongli Zhang et al.   APPLIED SOFT COMPUTING

Continual learning classification method with new labeled data based on the artificial immune system

(2020) Dong Li et al.   APPLIED SOFT COMPUTING

A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification

(2020) Qinghua Wang et al.   NEURAL COMPUTING & APPLICATIONS

A Reinforced k-Nearest Neighbors Method With Application to Chatter Identification in High-Speed Milling

(2020) Fei Shi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Efficient and accurate structural fusion of Bayesian networks

(2020) José M. Puerta et al.   Information Fusion

Continual learning classification method with constant-sized memory cells based on the artificial immune system

(2020) Dong Li et al.   KNOWLEDGE-BASED SYSTEMS

Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol

(2019) Ming Gao et al.   NEUROCOMPUTING

Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data

(2019) Gang Qian et al.   IEEE SENSORS JOURNAL

Pipeline image segmentation algorithm and heat loss calculation based on gene-regulated apoptosis mechanism

(2019) Xiao Yu et al.   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

Univariate time series classification using information geometry

(2019) Jiancheng Sun et al.   PATTERN RECOGNITION

A survey on model-based fault diagnosis for linear discrete time-varying systems

(2018) Maiying Zhong et al.   NEUROCOMPUTING

Bag of recurrence patterns representation for time-series classification

(2018) Nima Hatami et al.   PATTERN ANALYSIS AND APPLICATIONS

Fault diagnosis of time-varying processes using modified reconstruction-based contributions

(2018) Lamiaa M. Elshenawy et al.   JOURNAL OF PROCESS CONTROL

SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification

(2018) Abeegithan Jeyasothy et al.   IEEE Transactions on Neural Networks and Learning Systems

On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification

(2018) Piotr Duda et al.   IEEE Transactions on Cybernetics

Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units

(2017) Ke Yan et al.   IEEE Transactions on Systems Man Cybernetics-Systems