Network structures

This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

6p viengfa 28-10-2024 2 2   Download

This study presents the application of six single algorithm-based models of artificial intelligence, such as artificial neural network (ANN), support vector machine (SVM), classification and regression trees (CART), linear regression (LR), general linear model (GENLIN), and automatic Chisquared interaction detection (CHAID) to predict the residual flexural capacity of corroded RC structures.

12p vibecca 01-10-2024 1 1   Download

Artificial neural network (ANN), a powerful technique, has been used widely over the last decades in many scientific fields including engineering problems. However, the backpropagation algorithm in ANN is based on a gradient descent approach.

15p vibecca 01-10-2024 2 1   Download

In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.

4p vibecca 01-10-2024 1 1   Download

An accurate prediction of the future condition of structural components is essential for planning the maintenance, repair, and rehabilitation of bridges. As such, this paper presents an application of Artificial Neural Networks (ANN) to predict future deck condition for highway bridges in the State of Alabama, the United States.

11p vifilm 24-09-2024 2 1   Download

This paper describes a method to predict the fire resistance ratings of the wooden floor assemblies using Artificial Neural Networks. Experimental data collected from the previously published reports were used to train, validate, and test the proposed ANN model.

12p vifilm 24-09-2024 1 1   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers.

11p vifilm 24-09-2024 4 1   Download

The distance from the nearest concrete exposed surface to the centroidal axis of main longitudinal steel reinforcing bars, so-called axis distance, plays a critical role in ensuring the safety of reinforced concrete (RC) structures under fire, as it helps the rebars not being directly exposed to heating in a fire incident.

10p vifaye 20-09-2024 4 2   Download

This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.

9p dianmotminh02 03-05-2024 7 2   Download

In this paper, the development progress of a collaborative robot is presented in industrial fields: namely Vietcobot. The cobot actuator is designed as an integrated joint of hollow style which is a key part of the cobot development.

13p viannee 02-08-2023 16 7   Download

This research develops a rich theoretical and empirical understanding of embeddedness by way of three dimensions (structural, relational and cultural), and investigates its implications for actors’ value co-creation behaviours and value-in-context outcomes. In addition, the research refines co-creation perspectives by examining a central boundary condition of co-creation processes. The data was collected in an online service environment and was analysed using structural equation modelling techniques.

183p runthenight04 02-02-2023 7 2   Download

This thesis presents the following contributions. First, it is identified that disturbance estimation based networks utilised for compensation possess the same polynomial architectures as signal conditioning anti-windup and their equivalents. Next, an appropriate strategy is identified to integrate disturbance compensation for finite-controlset optimisation schemes via the constraint set rather than the cost function to maintain a simple and elegant problem structure.

208p runordie3 06-07-2022 10 2   Download

This project proposes two new methods of deep neural networks and handcrafted features for damage detection. The first method uses a convolution neural network (CNN) to extract deep features in time series and Long Short Term Memory (LSTM) network to find a statistically significant correlation of each lagged feature in time series data.

6p billyelliot 11-11-2021 28 1   Download

Lecture Electronic commerce - Chapter 18: Social Networks and Industry Disruptors in the Web 2.0 Environment learning objectives: Understand the Web 2.0 revolution, social and business networks and industry and market disruptors. Describe Google and the search engine industry, the impact on advertisement, and the industry competition. Understand the concept, structure, types and issues of virtual communities. Understand the social and business networks and describe MySpace, Flicker, Facebook, CyWorld, and other amazing sites

55p caphesuadathemtac 09-11-2021 33 4   Download

Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.

136p monsterhunterer 20-06-2021 9 3   Download

Software-defined networking (SDN) represents a new structure of computer network that simplifies and improves network management by splitting the control plane and data plane. Since SDN is regarded as a new research issue, the application of SDN in practice faces some barriers. Most network devices such as routers and switches that implement SDN functionalities are expensive. An alternative solution in SDN research and experiments is to use network emulators. By using Mininet, an open source network emulator, this study simulates SDN implementations in different environments.

13p nguaconbaynhay10 19-02-2021 28 2   Download

This work presents a molecular dynamics simulation (MDS) of CaSiO3 glass using Born–Mayer–Huggins potentials. The structural organization and structural phase transition under compression as well as network structure of CaSiO3 are clarified through analysis and visualization of molecular dynamics simulation data.

11p tamynhan9 02-12-2020 15 4   Download

Borotellurite glasses were prepared by melt quenching technique. Amorphous nature of samples was confirmed through X-ray diffraction (XRD) patterns. Effect of B2O3 content on the structure of glass network was studied through Fourier-transform infrared spectroscopy (FTIR) spectra. Optical band gap and Urbach energy were found from analysis of optical absorption spectra. Thermal studies were carried out by using Differential thermal analyzer (DTA) measurements.

8p tamynhan6 14-09-2020 14 2   Download

To clarify the local environment of atoms, we apply the oxygen simplex (OS) which is characterized by the size, forming oxygen atom types and the number of sodium atoms located inside the OS. The simulation shows that the liquid comprises the Si-O network and sodium atoms are distributed through different OS types forming by four O atoms.

8p tamynhan6 14-09-2020 13 1   Download

The purpose of this research was to formulate strategies and models of institutional strengthening through local farmer groups and capital strengthening through the intermediation of Sharia Financial Institution (SFI) with linkage program.

13p guineverehuynh 17-06-2020 12 1   Download