A novel application of integrated grasshopper optimization heuristics for attenuation of noise interferences

Khan, Wasim; Raja, Muhammad Asif Zahoor; He, Yigang; Chaudhary, Naveed Ishtiaq

doi:10.1016/j.asej.2021.06.022

Cited by 6 publications

(2 citation statements)

References 56 publications

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“…To ensure a high speech quality and speech intelligibility, cutting-edge metaheuristic algorithms have emerged and are considered as potential solutions, since conventional step-descent adaptive filtering algorithms offer limited performance. Recent studies have proven that the use of metaheuristic algorithms has increased the performance of advanced filtering applications, such as active noise control (ANC) [3][4][5][6][7][8][9][10][11][12][13][14], enhancement of speech or suppression of noise [15][16][17] and acoustic echo cancellation. Regarding the latter application, Diana et al [18] proposed a hybrid metaheuristic technique based on the artificial bee colony (ABC) and the Kernel Adaptive Improved Proportionate and Normalized Least Mean Square (KIPNLMS) algorithm.…”

Section: Introductionmentioning

confidence: 99%

A High-Speed Acoustic Echo Canceller Based on Grey Wolf Optimization and Particle Swarm Optimization Algorithms

Pichardo,

Avalos,

Sánchez

et al. 2024

Biomimetics

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Currently, the use of acoustic echo cancellers (AECs) plays a crucial role in IoT applications, such as voice control appliances, hands-free telephony and intelligent voice control devices, among others. Therefore, these IoT devices are mostly controlled by voice commands. However, the performance of these devices is significantly affected by echo noise in real acoustic environments. Despite good results being achieved in terms of echo noise reductions using conventional adaptive filtering based on gradient optimization algorithms, recently, the use of bio-inspired algorithms has attracted significant attention in the science community, since these algorithms exhibit a faster convergence rate when compared with gradient optimization algorithms. To date, several authors have tried to develop high-performance AEC systems to offer high-quality and realistic sound. In this work, we present a new AEC system based on the grey wolf optimization (GWO) and particle swarm optimization (PSO) algorithms to guarantee a higher convergence speed compared with previously reported solutions. This improvement potentially allows for high tracking capabilities. This aspect has special relevance in real acoustic environments since it indicates the rate at which noise is reduced.

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Section: Introductionmentioning

confidence: 99%

A High-Speed Acoustic Echo Canceller Based on Grey Wolf Optimization and Particle Swarm Optimization Algorithms

Pichardo,

Avalos,

Sánchez

et al. 2024

Biomimetics

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“…In modern research, biologically inspired neural networks (BINNs) are used extensively in various fields such as finance, medicine, biomedical, geology, and material science to find the most accurate numerical solutions by solving real-world problems in terms of differential equations or their system. The most recent BINNs applications are, Thin-film flow [32], Painlevé-I model [33], pantograph model [34], Heart diseases prediction model [35], Ferrofluid model [36], noise interference model [37], Falkner-Skan model [38], Emden-Fowler model [39], Dengue model [40], Echo model [41], power planning [42], COVID-19 [43], Thomas-Fermi paradigm [44], wind power [45], corneal shape model [46], autoregressive control model [47], and hybrid nanofluid model [48]. As per the best of the author's knowledge, the designed solver based on inverse multiquadric radial basis function, that is, BINNs-IMQK is never yet used to solve the MHD nanofluid flow model over an exponential surface under uneven heat source/sink effects in a permeable medium.…”

Section: Introductionmentioning

confidence: 99%

Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface

Butt,

Ahmad,

Hussain

et al. 2023

Z Angew Math Mech

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In this study, a novel neuro heuristic approach is designed to investigate the flow properties of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a permeable medium with the impact of radiation as well as fluctuating heat source/sink. The designed scheme to handle the suggested problem is established through the well‐known biologically inspired neural networks (BINNs) by exploiting the inverse multiquadric kernel (IMQK), that is, BINNs‐IMQK which is quite a new approach. The partial differential equations (PDEs) which govern the fluidic flow are reformed into a nonlinear system of ordinary differential equations (ODEs) using the most fitted similarity transformations rules and numerically solved by varying the parametric values including unsteady parameter, Brownian motion parameter, suction/injection parameter, radiation parameter, Schmidt number together with Prandtl number to visualize the velocity, thermal gradient, and mass transfer in the suggested fluid problem. It is noticed that nanofluid temperature hikes by uplifting the value of the Brownian motion parameter but this effect is reversed in case of unsteady parameter. The obtained numerical results are verified through reference solution using the well‐known Adams method and the efficacy of the suggested solver is endorsed using a variety of statistical operators.

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Intelligent solution predictive networks for non-linear tumor-immune delayed model

Anwar

Ahmad

Kiani

et al. 2023

Computer Methods in Biomechanics and Biomedical Engineering

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A novel application of integrated grasshopper optimization heuristics for attenuation of noise interferences

Cited by 6 publications

References 56 publications

A High-Speed Acoustic Echo Canceller Based on Grey Wolf Optimization and Particle Swarm Optimization Algorithms

A High-Speed Acoustic Echo Canceller Based on Grey Wolf Optimization and Particle Swarm Optimization Algorithms

Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface

Intelligent solution predictive networks for non-linear tumor-immune delayed model

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