[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
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 …
[책][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 …