A systematic investigation of the ellipsometric parameters of MBE-grown heterostructures of ln x Ga 1− x As on GaAs substrate has been completed. The index of refraction n , and extinction coefficient, k , values of the above heterostructure in the wavelength range 500–800 nm, are ...
An efficient computational approach is presented to analyze the structural responses of multilayer porous plates, incorporating the reinforcement of functionally graded graphene platelets (GPLs). The approach seamlessly integrates the Murakami function zigzag (MZZ) theory with a formulation based on the ...
The purpose of this study is to develop intelligent models that accurately predict CO2solubility in pure water. For this, a large data bank with 785 data points containing the values of pressure, temperature, and CO2solubility in water is gathered. Then, two powerful intelligent models, namely g...
Driven by narrow-linewidth bench-top lasers, coherent optical systems spanning optical communications, metrology and sensing provide unrivalled performance. To transfer these capabilities from the laboratory to the real world, a key missing ingredient is
a Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Information, Systems and Modelling, University of Technology Sydney, NSW, 2007, Australia b Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro, Gwangjin-gu,...
(Wadhwa, Shivani and Saluja, Kamal, 2022) proposed a hybrid approach using Capsule network and MultiLayer Perceptron (MLP) has been used for classification of images. Ethereum blockchain platform is used for providing security to the global data. The proposed framework provides more accuracy and ...
Improving the accuracy of flood prediction and mapping is crucial for reducing damage resulting from flood events. In this study, we proposed and validated three ensemble models based on the Best First Decision Tree (BFT) and the Bagging (Bagging-BFT), Decorate (Bagging-BFT), and Random Subspac...
.Nh] in both Encoder and Decoder is a Multilayer Perceptron Block (MLPBlock), illustrated in Fig. 3(b), which we define as a vanilla MLP layer with a few tweaks in it. The input xi(0), coming from layer Li−1, and its output xi(4), flowing to layer Li+1, may have ...
camera. To transfer the racing policy from simulation to the physical world, we augment the simulation with data-driven residual models of the vehicle’s perception and dynamics. These residual models are identified from real-world experience collected on the race track. MLP, multilayer perceptron....
Multilayer perceptron: Number of layers: Varies from 1 to 4 with intervals of 1. Number of nodes: Varies from 25 to 100 with intervals of 25. Alpha values: Options include 0.01, and 0.1. Learning rates: Options include 0.001, 0.01, and 0.1. Gradient boosting: Number of estimators: Varies...