Combination model

Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.

10p viengfa 28-10-2024 0 0   Download

In this paper, the effect of continuous carbon fibers (CCF) on the stiffness of 3D printed frames is investigated. Fused deposition modelling (FDM) technology is employed to build three typical frames with 15% of CCF and 85% poliamide 12 which is combined 10% short carbon fibers (PA12-CF) for compress testing.

7p viengfa 28-10-2024 0 0   Download

This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.

6p viengfa 28-10-2024 1 1   Download

In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.

6p viengfa 28-10-2024 1 1   Download

This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.

18p viengfa 28-10-2024 1 1   Download

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 1 1   Download

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p viengfa 28-10-2024 2 1   Download

Early prediction of ovarian cancer has not been given much attention, the application of combined models in clinical practice is not widespread, and the calculation of these models is still difficult due to the complexity and multiple variables.

8p viengfa 23-10-2024 2 0   Download

In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.

8p viling 11-10-2024 0 0   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

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems. The proposed controller is a combination of a type 2 fuzzy logic system and a cerebellar model articulation controller.

10p viling 11-10-2024 2 0   Download

In this study, we propose a NOMA communication model combined with linear array antennas for the purpose of enhancing physical layer security. We introduce a model of 4 nodes: transmitter node S, receiver node D1, receiver node D2, eavesdropping node E.

10p viling 11-10-2024 0 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

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

Recently, the phase field modelling is widely used to model and simulate material damage. In present work, we present a framework of the topology optimization combined with the phase-field modelling with/ without interfacial damage for optimizing the damage resistance of the inclusion-matrix composites.

17p vibecca 01-10-2024 1 1   Download

In the paper, we propose a mathematical model that combines bottom erosion and riverbank failure mechanisms. The model incorporates high-performance GPUs (Graphics Processing Units) to enhance its computational efficiency and capability.

22p vibecca 01-10-2024 3 1   Download

This study focuses on examining the near-shore coastal current along the Soc Trang Province coast in Vietnam, considering the combined influences of waves, winds, and tides by utilizing a model in curvilinear coordinate system.

18p vibecca 01-10-2024 3 1   Download

In this study, we propose a method for generating mutated Windows malware against malware detection based on ensemble learning by combining GANs and RL to overcome the limitations of the MalGAN model.

15p 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

The article aims to combine the scientific basis of the Markov–Cellular Automata method and the practice of the Ca River basin to find the influencing factors and model parameters to simulate the change of land cover in the Ca River basin.

20p viyoko 01-10-2024 4 1   Download