Autonomous learning for fuzzy systems: a review
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …
addressing countless limitation of traditional health-care systems such as quality of patient …
A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks
With the development of internet of things (IoT), capabilities of computing, networking
infrastructure, storage of data and management have come very close to the edge of …
infrastructure, storage of data and management have come very close to the edge of …
A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
With the advancement of blockchain technology, and the proliferation of Internet of things
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
A secure ensemble learning-based fog-cloud approach for cyberattack detection in IoMT
The Internet of Medical Things (IoMT) effectively tackles several shortcomings of
conventional healthcare systems. It includes medical personnel shortages, patient care …
conventional healthcare systems. It includes medical personnel shortages, patient care …
Linear and nonlinear regression-based maximum correntropy extended Kalman filtering
The extended Kalman filter (EKF) is a method extensively applied in many areas,
particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is …
particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is …
Topology learning-based fuzzy random neural networks for streaming data regression
As a type of evolving-fuzzy system, the evolving-fuzzy-neuro (EFN) system uses the structure
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
Evolving error feedback fuzzy model for improved robustness under measurement noise
E Lughofer, I Skrjanc - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
In this article, we propose a new variant of evolving fuzzy model for regression problems,
which is based on error feedback integration in order to compensate measurement noise …
which is based on error feedback integration in order to compensate measurement noise …
[HTML][HTML] Evolving fuzzy logic systems for creative personalized socially assistive robots
D Dell'Anna, A Jamshidnejad - Engineering Applications of Artificial …, 2022 - Elsevier
Abstract Socially Assistive Robots (SARs) are increasingly used in dementia and elderly
care. In order to provide effective assistance, SARs need to be personalized to individual …
care. In order to provide effective assistance, SARs need to be personalized to individual …