Modeling

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3p gaupanda086 09-04-2025 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 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

This article aims to investigate the impact of personal background characteristics on the socialization with academic aspects of ethnic minority students in higher education institutions in Ho Chi Minh City. A quantitative method was used to measure the extent of the impact of these elements.

12p viling 11-10-2024 3 1   Download

In this study, Partial Least Square – Structural Equation Modeling (PLS-SEM) was used to analyze data from the questionnaire survey of 363 customers who are familiar with live streaming platforms in Vietnam. By using SmartPLS for data empirical evaluation and hypotheses testing, research shows that the social presence of a live streaming platform and scarcity have a positive impact on consumer’s flow states, hence inducing consumers’ impulsive buying behaviors.

20p viling 11-10-2024 5 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

The objective of our study is to assess the effectiveness and efficiency of PRBT and IRKA in reducing the complexity of circuit models while retaining essential system characteristics. By systematically analyzing and comparing the outcomes of these algorithms, we aim to provide insights into their applicability and suitability for practical engineering applications.

7p viling 11-10-2024 2 1   Download

Consumer demand is an important factor in any business, especially in the food retail industry whose products are perishable and have a short life cycle. The daily demand for a food product is affected by external factors, such as seasonality, price reduction and holidays.

8p vifilm 11-10-2024 2 1   Download

The study was carried out by surveying 181 individual customers who are Gen Y and have been using fast food services at fast food stores in Hanoi and using the SERVQUAL model with 5 independent variables: Tangibility, Responsiveness, Assurance, Reliability, and Empathy.

8p vifilm 11-10-2024 1 1   Download

This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.

8p vifilm 11-10-2024 6 1   Download

Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

8p vifilm 11-10-2024 1 0   Download

This study applies Wavelet analysis to develop a comprehensive method for detecting damage in spiral bevel gears within automotive drive systems. By utilising Wavelet analysis to examine the vibration signals of the gears, it is possible to identify spatial and temporal variations in the signals, thereby detecting signs of damage in the system.

12p vifilm 11-10-2024 5 1   Download

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 2 2   Download

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 4 2   Download

This paper evaluates an energy harvesting strategy for UAVs from sunlight and laser beams on cloudy days with a low-level cloud layer. The channel models and harvested powers for both cases are considered and analyzed using mathematical equations and simulation results.

7p viengfa 28-10-2024 4 2   Download

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 3 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

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

Despite certain advancements achieving high accuracy, current methods still require substantial improvements to be applicable in practical scenarios. Diverging from text detection in images/videos, this paper addresses the issue of text detection within license plates by amalgamating multiple frames of distinct perspectives.

10p viengfa 28-10-2024 6 2   Download

Fear and anxiety in dentistry are among the factors that hinder access to dental care. This study aimed to assess the level of fear and anxiety regarding dental treatments and related factors.

7p viengfa 23-10-2024 2 1   Download