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 …

Automatic detection of sewer defects based on improved you only look once algorithm

Y Tan, R Cai, J Li, P Chen, M Wang - Automation in Construction, 2021 - Elsevier
The drainage system is an important part of civil infrastructure. However, the underground
sewage pipe will gradually suffer from defects over time, such as tree roots, deposits …

A comprehensive mathematical simulation of the composite size-dependent rotary 3D microsystem via two-dimensional generalized differential quadrature method

H Liu, Y Zhao, M Pishbin, M Habibi, MO Bashir… - Engineering with …, 2022 - Springer
In this study, frequency simulation and critical angular velocity of a size-dependent
laminated rotary microsystem using modified couple stress theory (MCST) as the higher …

Application of distance learning in mathematics through adaptive neuro-fuzzy learning method

J Stojanović, D Petkovic, IM Alarifi, Y Cao… - Computers & Electrical …, 2021 - Elsevier
The main aim of the study is analyzing of pupils' knowledge in mathematics by adaptive
neuro fuzzy inference system (ANFIS) after implementation of distance learning application …

Naïve Bayes ensemble models for groundwater potential mapping

BT Pham, A Jaafari, T Van Phong, D Mafi-Gholami… - Ecological …, 2021 - Elsevier
Groundwater potential maps are important tools for the sustainable management of water
resources, especially in agricultural producing countries like Vietnam. Here, we describe the …

Exploiting the Black-Litterman framework through error-correction neural networks

SD Mourtas, VN Katsikis - Neurocomputing, 2022 - Elsevier
Abstract The Black-Litterman (BL) model is a particularly essential analytical tool for effective
portfolio management in financial services sector since it enables investment analysts to …

Neural networks for portfolio analysis with cardinality constraints

X Cao, S Li - IEEE Transactions on Neural Networks and …, 2023 - ieeexplore.ieee.org
Portfolio analysis is a crucial subject within modern finance. However, the classical
Markowitz model, which was awarded the Nobel Prize in Economics in 1991, faces new …

Neural networks for portfolio analysis in high-frequency trading

X Cao, C Peng, Y Zheng, S Li, TT Ha… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
High-frequency trading proposes new challenges to classical portfolio selection problems.
Especially, the timely and accurate solution of portfolios is highly demanded in financial …

A novel dynamic neural system for nonconvex portfolio optimization with cardinality restrictions

X Cao, S Li - IEEE Transactions on Systems, Man, and …, 2023 - ieeexplore.ieee.org
The Markowitz model, a portfolio analysis model that won the Nobel Prize, lays the
theoretical groundwork for modern finance. The transaction cost and the cardinality …

[HTML][HTML] Mathematical Modeling and numerical simulation for nanofluid flow with entropy optimization

M Shutaywi, Z Shah - Case Studies in Thermal Engineering, 2021 - Elsevier
Through their exciting features, hybrid nanofluids have found a key role in energy transport
applications that can be managed according to requirements. The hybrid nanofluid has a …