[HTML][HTML] Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review
Background An e-nose or an e-tongue is a group of gas sensors or chemical sensors that
simulate human nose or human tongue. Both e-nose and e-tongue have shown great …
simulate human nose or human tongue. Both e-nose and e-tongue have shown great …
One-class support vector classifiers: A survey
Over the past two decades, one-class classification (OCC) becomes very popular due to its
diversified applicability in data mining and pattern recognition problems. Concerning to …
diversified applicability in data mining and pattern recognition problems. Concerning to …
DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks
There are various data management and security tools deployed at the cloud for storing and
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
Echad: embedding-based change detection from multivariate time series in smart grids
Smart grids are power grids where clients may actively participate in energy production,
storage and distribution. Smart grid management raises several challenges, including the …
storage and distribution. Smart grid management raises several challenges, including the …
[HTML][HTML] Multimodal subspace support vector data description
In this paper, we propose a novel method for projecting data from multiple modalities to a
new subspace optimized for one-class classification. The proposed method iteratively …
new subspace optimized for one-class classification. The proposed method iteratively …
A one-class classification decision tree based on kernel density estimation
One-class Classification (OCC) is an important field of machine learning which aims at
predicting a single class on the basis of its lonely representatives and potentially some …
predicting a single class on the basis of its lonely representatives and potentially some …
[HTML][HTML] Graph-embedded subspace support vector data description
In this paper, we propose a novel subspace learning framework for one-class classification.
The proposed framework presents the problem in the form of graph embedding. It includes …
The proposed framework presents the problem in the form of graph embedding. It includes …
Anomalous behavior detection-based approach for authenticating smart home system users
This paper presents Duenna, an authentication framework for smart home systems (SHSs).
When using controlling apps (eg, a smartphone app), Duenna makes sure that only …
When using controlling apps (eg, a smartphone app), Duenna makes sure that only …
Online incremental hierarchical classification resonance network
Hierarchical classification is imperative in that almost all objects are described in
hierarchical semantics. If a classification method enables incremental class learning to learn …
hierarchical semantics. If a classification method enables incremental class learning to learn …
A Unified Framework With Incremental Learning Capacity for Industrial Fault Detection and Classification
L Cai, H Yin, J Lin - IEEE Transactions on Automation Science …, 2024 - ieeexplore.ieee.org
Detection and classification are two significant tasks for industrial fault diagnosis. However,
conventional methods typically treat these tasks as separate and independent problems …
conventional methods typically treat these tasks as separate and independent problems …