Wearable devices can provide timely, user-friendly, non-or minimally invasive, and
continuous monitoring of human health. Recently, multidisciplinary scientific communities …

Deep learning (DL) and the collocation method are merged and used to solve partial
differential equations (PDEs) describing structures' deformation. We have considered …

Micro-cantilever beams interact with fluids in static or dynamic modes for several
applications with different research purposes. Various theoretical studies are performed …

This research examines on a new class of MEMS inertia mass sensors that are simple,
sensitive, and selective in possibly detecting tiny objects. The sensor consists of two beams …

The identification of the oilfield production flow rate, which is a function of the wellhead
pressure, where both are characterized as a complex, nonlinear stochastic dynamical …

Gas sensors have been increasingly employed in a wide range of applications such as air
quality monitoring, disease diagnosis, potential leakage of exhaust gases in industrial …

The resonance characteristics of vibrating structures change when they are immersed in
fluids and these changes can be related to the parameters density and viscosity of …

As a kind of long-term favorable device, the microelectromechanical system (MEMS) sensor
has become a powerful dominator in the detection applications of commercial and industrial …

A unified energy model for mechanical deformation of the microbeam included by single
stranded DNA (ssDNA) adsorption considering the surface charge density on substrate is …

The ability to measure pressure and temperature using a MEMS sensor constitutes a major
interest for several engineering applications. In this paper, we present a method and system …