[HTML][HTML] A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications
C Chen, L Cao, Y Chen, B Chen, Y Yue - Artificial Intelligence Review, 2024 - Springer
In recent years, swarm intelligence optimization algorithms have been proven to have
significant effects in solving combinatorial optimization problems. Introducing the concept of …
significant effects in solving combinatorial optimization problems. Introducing the concept of …
Estimation of pressure drop of two-phase flow in horizontal long pipes using artificial neural networks
MS Shadloo, A Rahmat… - Journal of …, 2020 - asmedigitalcollection.asme.org
Gas–liquid two-phase flows through long pipelines are one of the most common cases
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
Non-linear activated beetle antennae search: A novel technique for non-convex tax-aware portfolio optimization problem
The non-convex tax-aware portfolio optimization problem is traditionally approximated as a
convex problem, which compromises the quality of the solution and converges to a local …
convex problem, which compromises the quality of the solution and converges to a local …
[HTML][HTML] Electrical power prediction through a combination of multilayer perceptron with water cycle ant lion and satin bowerbird searching optimizers
Predicting the electrical power (PE) output is a significant step toward the sustainable
development of combined cycle power plants. Due to the effect of several parameters on the …
development of combined cycle power plants. Due to the effect of several parameters on the …
[HTML][HTML] The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors
Karst vegetation (KV) is one of the most important indicators for maintaining the surface
energy balance in southwestern China. The spatial pattern of KV is mainly affected by …
energy balance in southwestern China. The spatial pattern of KV is mainly affected by …
On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm
This paper focuses on the estimation of electrical power output (P e) in a combined cycle
power plant (CCPP) using ambient temperature (AT), vacuum in the condenser (V), ambient …
power plant (CCPP) using ambient temperature (AT), vacuum in the condenser (V), ambient …
[HTML][HTML] Adopting nonlinear activated beetle antennae search algorithm for fraud detection of public trading companies: a computational finance approach
B Liao, Z Huang, X Cao, J Li - Mathematics, 2022 - mdpi.com
With the emergence of various online trading technologies, fraudulent cases begin to occur
frequently. The problem of fraud in public trading companies is a hot topic in financial field …
frequently. The problem of fraud in public trading companies is a hot topic in financial field …
[HTML][HTML] Fault Detection and Isolation of Load Mutation Caused by Electrical Interference of Single-Shaft Combined Cycle Power Plant
K Yao, Y Wang, Z Li, J Li, J Wan, Y Cao - Applied Sciences, 2022 - mdpi.com
Because the generator power-measuring equipment is often accompanied by electrical
interference in a complex electromagnetic environment in an actual thermal power plant, the …
interference in a complex electromagnetic environment in an actual thermal power plant, the …
Secure monitoring system for industrial internet of things using searchable encryption, access control and machine learning
JB Aljabri - 2023 - theses.gla.ac.uk
This thesis is an alternative format submission comprising a set of publications and a
comprehensive literature review, an introduction, and a conclusion. Continuous compliance …
comprehensive literature review, an introduction, and a conclusion. Continuous compliance …
mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0
In previous work a novel Edge Lightweight Searchable Attribute-based encryption (ELSA)
method was proposed to support Industry 4.0 and specifically Industrial Internet of Things …
method was proposed to support Industry 4.0 and specifically Industrial Internet of Things …