Proposal

This study aims to assess the current status of accessing to information on gender equality in ethnic minority areas in Thai Nguyen province; thereby proposing solutions to improve people’s awareness of this issue in the study area.

9p viengfa 28-10-2024 2 0   Download

The study aims to help students understand challenges when learning legal English, and propose vocabulary learning strategies for students to accumulate appropriate knowledge and a rational orientation for learning legal English.

9p viengfa 28-10-2024 2 0   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

Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).

10p viengfa 28-10-2024 2 1   Download

This paper proposes an output-capacitorless low-dropout regulator (OCL-LDO) with simple structure and fast load transient response for system-on-chip applications. The proposed OCL-LDO does not require output capacitance and remains stable at no-load condition.

10p viengfa 28-10-2024 1 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

In this paper, we propose an effective AMC using deep learning (DL) for flexible and adaptive OFDM-based optical networks. The proposed DL-based AMC is able to classify four typical modulation schemes such as binary phase-shift keying (BPSK), quadrature PSK (QPSK), 8-PSK, and 16- quadrature amplitude modulation (QAM) in dynamic network conditions.

6p viengfa 28-10-2024 3 2   Download

The rest of this paper is arranged as follows. Section II shows some theoretical bases as PID controller, fuzzy PID controller, DC motor, microcontroller STM32F103C8T6… System design steps are provided in section III. The results of the proposed system are presented and discussed in section IV. Finally, section 5 closed the paper with some relevant conclutions.

7p viengfa 28-10-2024 3 2   Download

In this study, we propose the application of CycleGAN to generate T2 pulse sequence MRI images of the human brain from T2 Flair pulse sequence images of the same type and vice versa, thereby increasing the number of MRI images of various types.

8p 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

This paper proposes a low-voltage ridethrough (LVRT) capability for a doubly-fed induction generator (DFIG) wind turbine (WT) system. With the proposed method, series grid-side converter (SGSC) in which its DC-side connected at the DC bus of the back-toback converters and its AC-side connected in series with line through transformer have been applied, enables to compensate a voltage response of the system during the grid faults and to reduce the capital cost.

9p viengfa 28-10-2024 2 1   Download

In this study, the author examined the SERVQUAL model's service quality evaluation elements involving customer satisfaction. More specifically, the hypothetical model was proposed to examine how each component of service quality affects customer satisfaction specifications.

8p viengfa 28-10-2024 1 1   Download

In this article, analytical, synthesis, and comparative methods are employed to evaluate and provide valuable insights, leading to the proposal of an energy-efficient model and Carbon dioxide emission reduction for Vietnam's tropical islands.

11p viengfa 28-10-2024 2 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

In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention control in unmanned flights.

9p viengfa 28-10-2024 3 3   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 3 2   Download

This study proposes the application of Ensemble Decision Tree Boosted (EDT Boosted) model for forecasting the surface chloride concentration of marine concrete Cs. A database of 386 experimental results was collected from 17 different sources covering twelve variables was used to build and verify the predictive power of the EDT model.

12p viengfa 28-10-2024 5 2   Download

In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

12p viengfa 28-10-2024 1 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 3 2   Download

The study is a complement to the studies of the tensile strength of cement paste backfill gradually becoming complete. Evaluate the reliability of the proposed model and analyze the influence of the components on the tensile strength. At the same time, the study is also interested in the influence of the components.

9p viengfa 28-10-2024 3 1   Download