Combination model

This paper presents an advanced machine learning model, named ES-ANN, which combines an Artificial NeuralNetwork (ANN) with Evolution Strategies (ES) to predict flyrock distance in open-pit mines with high accuracy.

14p vijiraiya 19-05-2025 1 1   Download

Based on theoretical and practical foundations, combined with methods such as documents analysis and synthesis, surveys using questionnaires, and statistical mathematics, this research evaluates the current status of student sports clubs at Hue University. It identifies the necessity, significance, and importance of developing recreational sports clubs for university students.

6p vimitsuki 06-05-2025 3 1   Download

It is crucial to investigate the factors influencing building energy expenditure to ensure sustainable buildings in the circumstance of a global energy crisis. The building energy simulation model is a crucial tool to support architects and engineers during different stages of building construction and operations to optimize the design solutions and operation schedules. The objective of this study is to analyze the unexplored combination of some passive design solutions including a one-story-primary school in Hanoi, Vietnam.

9p visarada 28-04-2025 2 1   Download

In this article, we will discuss the use of a database, called Churn Modeling, which collects statistical data from banks. We will also explore the application of the BernoulliNB algorithm, combined with the incremental machine learning method, to process streaming data and analyze and predict customer churn rates in banks.

10p visarada 28-04-2025 1 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 5 1   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 1 1   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 4 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 2 2   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

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 6 1   Download

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 1 1   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 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 2 2   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 2 2   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 3 2   Download

For robots, crawling through curved or redirected pipe sections with different pipe diameters to inspect and survey pipes is quite a difficult task. To solve this problem, in this article we propose a new pipe inspection robot model that is a combination of rigid mechanical structures with a soft body to ensure the robot moves smoothly and is flexible.

16p viyuhi 26-03-2025 5 1   Download

This article focuses on the aerodynamic and acoustic characteristics of both an isolated propeller model and a propeller - boundary surface model. The study uses the Reynoldsaveraged Navier-Stokes (RANS) method combined with Computational Fluid Dynamics techniques to analyze the flow field and wake flow behind the propeller and to determine its basic aerodynamic coefficients.

14p viyuhi 26-03-2025 4 1   Download

This study builds upon the research outcomes of earlier researchers by combining suitable factors relevant to the Vietnamese market and eliminating inappropriate factors, to investigate the impact of the communication model on choosing and the consumer’s decision on sustainable fashion products in Vietnam.

11p viyuhi 26-03-2025 3 1   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 2 1   Download

This study combines the integrated model to test the mechanism effects while previous studies have mostly relied on only one of the research models, namely the Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB), or Technology Acceptance Model (TAM).

13p viinuzuka 28-02-2025 5 1   Download