[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
Novelty detection: a review—part 1: statistical approaches
Novelty detection is the identification of new or unknown data or signal that a machine
learning system is not aware of during training. Novelty detection is one of the fundamental …
learning system is not aware of during training. Novelty detection is one of the fundamental …
An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery
A new method in computational intelligence namely artificial immune systems (AIS), which
draw inspiration from the vertebrate immune system, have strong capabilities of pattern …
draw inspiration from the vertebrate immune system, have strong capabilities of pattern …
A hybrid intelligent system for fault detection and sensor fusion
MAK Jaradat, R Langari - Applied Soft Computing, 2009 - Elsevier
In this paper, an efficient new hybrid approach for multiple sensor fusion and fault detection
is proposed, addressing the problem with multiple faults, which is based on conventional …
is proposed, addressing the problem with multiple faults, which is based on conventional …
A supervised artificial immune classifier for remote-sensing imagery
The artificial immune network (AIN), which is a new computational intelligence model based
on artificial immune systems inspired by the vertebrate immune system, has been widely …
on artificial immune systems inspired by the vertebrate immune system, has been widely …
[HTML][HTML] Immune secondary response and clonal selection inspired optimizers
The immune system's ability to adapt its B cells to new types of antigen is powered by
processes known as clonal selection and affinity maturation. When the body is exposed to …
processes known as clonal selection and affinity maturation. When the body is exposed to …
Immunity-based autonomous guided vehicles control
HYK Lau, VWK Wong, ISK Lee - Applied Soft Computing, 2007 - Elsevier
The human immune system is a self-organizing and highly distributed multi-agent system.
These properties impart a high degree of robustness and performance that has created …
These properties impart a high degree of robustness and performance that has created …
Kolmogorov complexity estimates for detection of viruses in biologically inspired security systems: a comparison with traditional approaches
This article presents results in two mutually complementary areas: distributed immunological
information assurance and a new signature‐matching technique based on Kolmogorov …
information assurance and a new signature‐matching technique based on Kolmogorov …
[图书][B] Supply chain management models: forward, reverse, uncertain, and intelligent foundations with case studies
H Fazlollahtabar - 2018 - books.google.com
Supply Chain Management (SCM) is a wide field in which several specialties are included.
In general, operations and production management players use SCM to organize the …
In general, operations and production management players use SCM to organize the …
A resource limited artificial immune system algorithm for supervised classification of multi/hyper‐spectral remote sensing imagery
The resource limited artificial immune system (RLAIS), a new computational intelligence
approach, is being increasingly recognized as one of the most competitive methods for data …
approach, is being increasingly recognized as one of the most competitive methods for data …