[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 …

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 …

Non-linear activated beetle antennae search: A novel technique for non-convex tax-aware portfolio optimization problem

AT Khan, X Cao, I Brajevic, PS Stanimirovic… - Expert Systems with …, 2022 - Elsevier
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 …

[HTML][HTML] Electrical power prediction through a combination of multilayer perceptron with water cycle ant lion and satin bowerbird searching optimizers

H Moayedi, A Mosavi - Sustainability, 2021 - mdpi.com
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 …

[HTML][HTML] The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors

Y Ma, L Zuo, J Gao, Q Liu, L Liu - Ecological Indicators, 2021 - Elsevier
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 …

On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm

N Anđelić, I Lorencin, V Mrzljak, Z Car - Engineering applications of artificial …, 2024 - Elsevier
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 …

[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 …

[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 …

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 …

mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0

J Aljabri, AL Michala, J Singer, I Vourganas - arXiv preprint arXiv …, 2022 - arxiv.org
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 …