A distributed sensor-fault detection and diagnosis framework using machine learning
SU Jan, YD Lee, IS Koo - Information Sciences, 2021 - Elsevier
The objective of this work is to design a sensor-fault detection and diagnosis system for the
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …
Coastal landscape classification using convolutional neural network and remote sensing data in Vietnam
The length of global coastline is about 356 thousand kilometers with various dynamic
natural and anthropogenic. Although the number of studies on coastal landscape …
natural and anthropogenic. Although the number of studies on coastal landscape …
Fuzzy-affine-model-based sampled-data filtering design for stochastic nonlinear systems
This article addresses the sampled-data piecewise affine (PWA) filter design problem for Itô
stochastic nonlinear systems represented by Takagi–Sugeno fuzzy affine models. An input …
stochastic nonlinear systems represented by Takagi–Sugeno fuzzy affine models. An input …
Machine learning and soft computing for ICT security: an overview of current trends
In the last years, people have been seeing the pervasive use of computer, communication
technology and Internet, eg, e-mail, online shopping, banking, gaming, Internet telephony …
technology and Internet, eg, e-mail, online shopping, banking, gaming, Internet telephony …
Deep learning-based gas identification and quantification with auto-tuning of hyper-parameters
V Pareek, S Chaudhury - Soft Computing, 2021 - Springer
In this work, we propose two deep learning-based architectures tailored for gas identification
and quantification, which automatically tune hyper-parameters of the network for optimal …
and quantification, which automatically tune hyper-parameters of the network for optimal …
[HTML][HTML] Minimal solutions of generalized fuzzy relational equations: clarifications and corrections towards a more flexible setting
J Medina - International Journal of Approximate Reasoning, 2017 - Elsevier
Computing the minimal solutions of solvable fuzzy relation equations is a very important and
complex task. This computation is more complex when the algebraic structure on which the …
complex task. This computation is more complex when the algebraic structure on which the …
[HTML][HTML] On the solvability of bipolar max-product fuzzy relation equations with the product negation
This paper studies the solvability of the max-product fuzzy relation equations in which a
negation operator is considered. Specifically, the residuated negation of the product t-norm …
negation operator is considered. Specifically, the residuated negation of the product t-norm …
[图书][B] Type-2 fuzzy neural networks and their applications
RA Aliev, BG Guirimov - 2014 - books.google.com
This book deals with the theory, design principles, and application of hybrid intelligent
systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing …
systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing …
Bipolar fuzzy relation equations systems based on the product t‐norm
Bipolar fuzzy relation equations arise as a generalization of fuzzy relation equations
considering unknown variables together with their logical connective negations. The …
considering unknown variables together with their logical connective negations. The …
Neural network techniques for proactive password checking
This paper deals with the access control problem. We assume that valuable resources need
to be protected against unauthorized users and that, to this aim, a password-based access …
to be protected against unauthorized users and that, to this aim, a password-based access …