In this paper, layerwise theory (LT) along with the first, second and third-order shear deformation theories (FSDT, SSDT and TSDT) are used to determine the stress distribution in a simply supported square sandwich plate subjected to a uniformly distributed load. Two functionally graded (FG) face sheets encapsulate an elastomeric core while two epoxy adhesive layers adhere the core to the face ...

We show how a deep denoising autoencoder with lateral connections can be used as an auxiliary unsupervised learning task to support supervised learning. The proposed model is trained to minimize simultaneously the sum of supervised and unsupervised cost functions by back-propagation, avoiding the need for layerwise pretraining. It improves the state of the art significantly in the permutationin...

Abstract This paper presents a beam theory for analyzing the static response of slightly curved three-layer beams with interlayer slip. Since are supposed to be immovably supported, membrane stresses develop even at moderately large deflections and becomes geometrically nonlinear. The is based on layerwise application Euler–Bernoulli linear elastic constitutive law interlaminar displacements. I...

Quantum Approximate Optimisation (QAOA) is the most studied gate based variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap with an $n$ qubit target state. Doing so we discovered that such training always saturates -- called \textit{training saturation} some depth $p^*$, meaning past certain depth, can not be improved by adding subsequent layers. formulate ...

We have investigated the adsorption of 4He onto a quench-condensed H2 film by means of surface state electrons. Oscillations in the surface state electron conductivity clearly reveal the layerwise character of the adsorption. At temperatures below 2K we have observed an anomaly in the conductivity around the completion of the first monolayer. This new feature is interpreted as an indication of ...

We present the application of layer-wise relevance propagation to several deep neural networks such as the BVLC reference neural net and googlenet trained on ImageNet and MIT Places datasets. Layerwise relevance propagation is a method to compute scores for image pixels and image regions denoting the impact of the particular image region on the prediction of the classifier for one particular te...

The advancement in wireless communication technologies is becoming more demanding and pervasive. One of the fundamental parameters that limit efficiency network are security challenges. vulnerable to attacks such as spoofing signal strength attacks. Intrusion detection signifies a central approach ensuring network. In this paper, an Detection System based on framework graph theory proposed. A L...

Additive Manufacturing (AM) enables the direct production of complex geometries from computer-aided designs (CAD). The AM fabrication process is often executed in a layer-by-layer manner, whereby minute printing errors one layer can manifest significant defects final part. In-situ quality monitoring and control are currently limited for processes cause low repeatability. Recently. advanced imag...

In this paper we present a layerwise finite element model for the analysis of sandwich laminated plates with a viscoelastic core and laminated anisotropic face layers. The stiffness and mass matrices of the element are obtained by the Carrera’s Unified formulation (CUF). The dynamic problem is solved in the frequency domain with viscoelastic frequency-dependent material properties for the core....