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Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
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 …
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 …
multi-scale hybrid laminated nanocomposite (MHLNC) reinforced circular/annular plates …
Memory-based Harris hawk optimization with learning agents: a feature selection approach
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 …
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 …
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
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 …
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 …
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 …
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.
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 …
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 …
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 …
addresses the impact of backlash-like hysteresis as well as actuator faults simultaneously …