[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques

X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …

Deep learning-based applications for safety management in the AEC industry: A review

L Hou, H Chen, G Zhang, X Wang - Applied Sciences, 2021 - mdpi.com
Safety is an essential topic to the architecture, engineering and construction (AEC) industry.
However, traditional methods for structural health monitoring (SHM) and jobsite safety …

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …

An iterative simulation algorithm for large oscillation of the applicable 2D-electrical system on a complex nonlinear substrate

X Huang, Y Zhu, P Vafaei, Z Moradi… - Engineering with …, 2022 - Springer
An iterative algorithm is a mathematical procedure that uses an initial value to generate a
sequence of improving approximate solutions for a class of problems, in which the n th …

Modeling of CO2 capture ability of [Bmim][BF4] ionic liquid using connectionist smart paradigms

B Daryayehsalameh, M Nabavi, B Vaferi - Environmental Technology & …, 2021 - Elsevier
The burning of fossil fuels produces large amounts of exhaust gases containing carbon
dioxide (CO 2). The emission of CO 2 into the atmosphere is widely known as the leading …

Adaptive finite-time neural network control of nonlinear systems with multiple objective constraints and application to electromechanical system

L Liu, W Zhao, YJ Liu, S Tong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates an adaptive finite-time neural control for a class of strict feedback
nonlinear systems with multiple objective constraints. In order to solve the main challenges …

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 …

Amplitude motion and frequency simulation of a composite viscoelastic microsystem within modified couple stress elasticity

H Liu, SX Shen, K Oslub, M Habibi… - Engineering with …, 2022 - Springer
In this research, amplitude motion and frequency simulation of a thick annular microsystem
with graphene nanoplatelets (GPL) reinforcement in the framework of the modified couple …

Adaptive momentum-based optimization to train deep neural network for simulating the static stability of the composite structure

Z Chi, Z Jiang, MM Kamruzzaman… - Engineering with …, 2022 - Springer
This article is the first attempt to employ deep learning to estimate the mechanical
performance of multi-phase systems. Features of the design-points are obtained with the aid …