An enhanced distributed differential evolution algorithm for portfolio optimization problems
Y Song, G Zhao, B Zhang, H Chen, W Deng… - … Applications of Artificial …, 2023 - Elsevier
The population structure of differential evolution (DE) algorithm cannot maintain the diversity
of the population to the greatest extent and help the population avoid to fall into the local …
of the population to the greatest extent and help the population avoid to fall into the local …
Hyperspectral Image Classification Based on Fusing S3-PCA, 2D-SSA and Random Patch Network
Recently, the rapid development of deep learning has greatly improved the performance of
image classification. However, a central problem in hyperspectral image (HSI) classification …
image classification. However, a central problem in hyperspectral image (HSI) classification …
A novel hybrid model based on deep learning and error correction for crude oil futures prices forecast
J Wu, J Dong, Z Wang, Y Hu, W Dou - Resources Policy, 2023 - Elsevier
Energy is a crucial basis for ensuring people's life quality and advancing social and
economic development. Whereas, the crude oil futures prices are influenced by several …
economic development. Whereas, the crude oil futures prices are influenced by several …
Performance of heat transfer in micropolar fluid with isothermal and isoflux boundary conditions using supervised neural networks
The current study delivers a numerical investigation on the performance of heat transfer and
flow of micropolar fluid in porous Darcy structures with isothermal and isoflux walls …
flow of micropolar fluid in porous Darcy structures with isothermal and isoflux walls …
Real-time health monitoring in WBANs using hybrid metaheuristic-driven machine learning routing protocol (MDML-RP)
Wireless body area networks (WBANs) are helpful for remote health monitoring, especially
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
A multi-strategy adaptive particle swarm optimization algorithm for solving optimization problem
Y Song, Y Liu, H Chen, W Deng - Electronics, 2023 - mdpi.com
In solving the portfolio optimization problem, the mean-semivariance (MSV) model is more
complicated and time-consuming, and their relations are unbalanced because they conflict …
complicated and time-consuming, and their relations are unbalanced because they conflict …
Rail surface defect detection based on image enhancement and improved yolox
C Zhang, D Xu, L Zhang, W Deng - Electronics, 2023 - mdpi.com
During the long and high-intensity railway use, all kinds of defects emerge, which often
produce light to moderate damage on the surface, which adversely affects the stable …
produce light to moderate damage on the surface, which adversely affects the stable …
Larsucosterol: endogenous epigenetic regulator for treating chronic and acute liver diseases
Y Wang, J Ren, S Ren - American Journal of Physiology …, 2024 - journals.physiology.org
Larsucosterol, a potent endogenous epigenetic regulator, has been reported to play a
significant role in lipid metabolism, inflammatory responses, and cell survival. The …
significant role in lipid metabolism, inflammatory responses, and cell survival. The …
Automated Facial Emotion Recognition Using the Pelican Optimization Algorithm with a Deep Convolutional Neural Network
Facial emotion recognition (FER) stands as a pivotal artificial intelligence (AI)-driven
technology that exploits the capabilities of computer-vision techniques for decoding and …
technology that exploits the capabilities of computer-vision techniques for decoding and …
Frequency stability prediction of renewable energy penetrated power systems using CoAtNet and SHAP values
P Liu, S Han, N Rong - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
As the complexity of power systems increases, traditional model-driven methods for online
frequency stability prediction (FSP) encounter constraints in both accuracy and efficiency. To …
frequency stability prediction (FSP) encounter constraints in both accuracy and efficiency. To …