Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm

T Hu, M Khishe, M Mohammadi, GR Parvizi… - … Signal Processing and …, 2021 - Elsevier
Real-time detection of COVID-19 using radiological images has gained priority due to the
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …

Non-polynomial framework for bending responses of the multi-scale hybrid laminated nanocomposite reinforced circular/annular plate

X He, J Ding, M Habibi, H Safarpour, M Safarpour - Thin-Walled Structures, 2021 - Elsevier
This survey addresses the non-polynomial framework for bending responses of three-phase
multi-scale hybrid laminated nanocomposite (MHLNC) reinforced circular/annular plates …

Memory-based Harris hawk optimization with learning agents: a feature selection approach

J Too, G Liang, H Chen - Engineering with Computers, 2022 - Springer
Feature selection is a vital pre-processing phase for most machine learning and data mining
courses. This article proposes new variants of the Harris hawk optimization called memory …

Adaptive fuzzy backstep** tracking control for flexible robotic manipulator

W Chang, Y Li, S Tong - IEEE/CAA Journal of Automatica …, 2018 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy state feedback control method is proposed for the single-link
robotic manipulator system. The considered system contains unknown nonlinear function …

Adaptive consensus quantized control for a class of high-order nonlinear multi-agent systems with input hysteresis and full state constraints

G Zhu, H Li, X Zhang, C Wang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
For a class of high-order nonlinear multi-agent systems with input hysteresis, an adaptive
consensus output-feedback quantized control scheme with full state constraints is …

Highly polarization-sensitive, broadband, low dark current, high responsivity graphene-based photodetector utilizing a metal nano-grating at telecommunication …

E Khosravian, HR Mashayekhi… - Journal of the Optical …, 2021 - opg.optica.org
Recent advances in graphene-based photodetectors have demonstrated the feasibility of
utilizing graphene as a fantastic material for the development of future high-performance …

Adaptive backstep** fast terminal sliding mode control with estimated inverse hysteresis compensation for piezoelectric positioning stages

C Qin, Z Zhang, Q Fang - … on Circuits and Systems II: Express …, 2023 - ieeexplore.ieee.org
In this brief, the motion control of piezoelectric positioning stages with unknown parameters
is focused on, and an adaptive backstep** fast terminal sliding mode control based on the …

[PDF][PDF] Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method.

S Vladov, Y Shmelov, R Yakovliev - ITTAP, 2022 - ceur-ws.org
The work is devoted to the modification of helicopters turboshaft engines onboard automatic
control system of through the introduction of an adaptive control unit into it, which consists of …

Robust control of uncertain asymmetric hysteretic nonlinear systems with adaptive neural network disturbance observer

Y Zhang, Q Yao, B Luo, N Chen - Applied Soft Computing, 2024 - Elsevier
In this article, a novel command-filtered adaptive control scheme is proposed for uncertain
asymmetric hysteretic nonlinear systems with unknown external disturbances, where the …

Neural networks-based adaptive fault-tolerant control for stochastic nonlinear systems with unknown backlash-like hysteresis and actuator faults

M Kharrat - Journal of Applied Mathematics and Computing, 2024 - Springer
This paper addresses a class of nonstrict-feedback stochastic nonlinear systems. It
addresses the impact of backlash-like hysteresis as well as actuator faults simultaneously …