Modeling techniques

This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.

5p viengfa 28-10-2024 1 1   Download

Buckling and postbuckling behaviors of porous functionally graded graphene platelets-reinforced composite (porous FG-GPLRC) cylindrical shells with stiffeners subjected to external pressures are presented in this paper. Three distribution types of porosity in the shells are considered. The smeared technique for stiffeners is employed to model the mechanical behaviors of the stiffened shells.

13p viengfa 28-10-2024 2 1   Download

In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output.

12p viengfa 28-10-2024 2 1   Download

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 4 1   Download

Light Gradient Boosting Machine is a new machine learning technique developed by Microsoft corporation which has been proposed in the present study to determine the CBR of stabilized expansive soils. Model performance of the ML model are evaluated by different criteria such as correlation coefficient R, root mean square error RMSE and mean absolute error MAE.

8p viengfa 28-10-2024 2 1   Download

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products.

6p viengfa 28-10-2024 2 1   Download

This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.

14p viengfa 28-10-2024 2 1   Download

This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.

8p viling 11-10-2024 1 0   Download

In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

12p viling 11-10-2024 1 0   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 0 0   Download

This paper scrutinizes two lane detection methods: image processing in isolation and integrating deep learning techniques with Hough transformation. The deep learning techniques specifically discuss two models, namely YOLOv8 pose estimation and YOLOv8 object detection.

14p vibecca 01-10-2024 3 1   Download

This study seeks to develop a prediction model to estimate the bond strength of FRP bars in concrete, utilizing an extended dataset from 1010 pull-out tests. Initially, the study evaluates the applicability of several bond strength formulas from existing codes.

16p vibecca 01-10-2024 3 0   Download

This paper is aimed at evaluating the efficiency of Vietnamese SMS spam detection methods on different variants of Vietnamese datasets by utilizing both traditional machine learning models and deep learning models.

8p viyoko 01-10-2024 2 1   Download

This paper proposes and implements a model combining Zalo and end-toend encryption to apply in digital transformation. The main idea is to promote the strengths of the Zalo social network to exchange information and manage work but ensure information confidentiality for both the server and man-in-the-middle attacks based on the end-to-end encryption model.

14p viyoko 01-10-2024 3 1   Download

In this paper, an artificial neural network (ANN) model was applied to forecast PM2.5 at the Coc Sau open–pit coal mine (Northern Vietnam) with fine–tuning parameters. It aims to provide the feasibility and insights into controlling air quality in open–pit mines using artificial intelligence techniques.

8p viyoko 01-10-2024 0 0   Download

This paper proposes a method to identify the optimal operating point fora photovoltaic power system. With theinformation on the power's solar irradiance, the temperature at P-N junction, and the generated power limit, an algorithm is proposed to calculate points on the voltage-power curve based on an utterly mathematical model of the generation, iterative,and bisectional techniques.

5p viyoko 01-10-2024 1 1   Download

This paper investigates the dynamic response of the main beam (i.e., girder) of an overhead crane by a surrogate technique based on truncated Karhunen–Loève (KL) expansion and neural networks.

10p vifaye 20-09-2024 2 1   Download

The study aims to provide an in-depth awareness of the loading capacity, deflection characteristics, and failure mechanisms exhibited by these girders by applying finite element analysis (FEA) techniques.

15p vifaye 20-09-2024 2 1   Download

The implementation duration of road work is critical as it impacts both the cost and outcome of the project. The article examines the techniques used to determine the time required for the completion of road work projects. It explores the approach to estimating the duration of road work projects in low- and middle-income countries (LMICs) based on the ROCKS database created by the World Bank.

13p vifaye 20-09-2024 3 1   Download

In the first part of this paper, the Kriging metamodeling technique will be briefly reviewed. Then, we present a new learning function by accounting for the distance constraint in the selection process of the new training points (TPs) to enrich the Design of Experiment (DoE) of the built surrogate.

17p vifaye 20-09-2024 2 1   Download