Towards augmented kernel extreme learning models for bankruptcy prediction: algorithmic behavior and comprehensive analysis

Y Zhang, R Liu, AA Heidari, X Wang, Y Chen, M Wang… - Neurocomputing, 2021 - Elsevier
Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

Gaussian mutational chaotic fruit fly-built optimization and feature selection

X Zhang, Y Xu, C Yu, AA Heidari, S Li, H Chen… - Expert Systems with …, 2020 - Elsevier
To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …

Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy

M Wang, Q Gong, H Chen, G Gao - Applied Soft Computing, 2023 - Elsevier
It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …

Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines

H Chen, S Li, AA Heidari, P Wang, J Li, Y Yang… - Expert Systems with …, 2020 - Elsevier
The original fruit fly algorithm (FOA) in simple structure is easy to understand, but it has a
slow convergence rate and tends to be trapped in the local optimal solutions. In order to …

Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis

X Wang, H Chen, AA Heidari, X Zhang, J Xu… - Knowledge-Based …, 2020 - Elsevier
Fruit fly optimization algorithm (FOA) is a well-known optimization algorithm with a well-
designed structure and superiority of fewer parameters, more effortless adjustment, and …

A new effective machine learning framework for sepsis diagnosis

X Wang, Z Wang, J Weng, C Wen, H Chen… - IEEE access, 2018 - ieeexplore.ieee.org
There is a lack of early specific diagnosis and effective evaluation of sepsis, and the clinical
treatment is not timely. As a result, the mortality is high, which seriously threatens the health …

Robust predictive control of wheel slip in antilock braking systems based on radial basis function neural network

H Mirzaeinejad - Applied soft computing, 2018 - Elsevier
Abstract Anti-Lock Braking System (ABS) is a well-known technology for vehicle safety
enhancement during hard braking. The wheel slip control has been a challenging problem …

Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks

S Kanarachos, J Mathew, ME Fitzpatrick - Expert Systems with Applications, 2019 - Elsevier
The high level of air pollution in urban areas, caused in no small extent by road transport,
requires the implementation of continuous and accurate monitoring techniques if emissions …

Multiobjective Optimization of an Off‐Road Vehicle Suspension Parameter through a Genetic Algorithm Based on the Particle Swarm Optimization

D Peng, G Tan, K Fang, L Chen… - Mathematical …, 2021 - Wiley Online Library
Ride comfort and handling performances are known conflicts for off‐road vehicles. Recent
publications focus on passenger vehicles on class B and class C roads, while, for off‐road …

Actuator and sensor fault estimation based on a proportional multiple‐integral sliding mode observer for linear parameter varying systems with inexact scheduling …

S Gómez‐Peñate, FR López‐Estrada… - … Journal of Robust …, 2021 - Wiley Online Library
This article proposes an approach for the estimation of states, actuator, and sensor faults in
nonlinear systems represented by a polytopic linear parameter varying (LPV) system with …