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In this study, we investigated some conditions affecting the extraction of total carotenoids from R. mucilaginosa using environmentally friendly chemicals: cell disruption conditions with organic acids combined with ultrasound-assistant method, using ethanol and petroleum ether solvents to replace acetone in the process of extracting total carotenoids to obtain a benign product, easy to apply in food.

8p viling 11-10-2024 2 1   Download

In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.

11p viling 11-10-2024 1 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 paper, we used Convolution neural network (CNN) that exploits the visual properties of the input data to obtain features from network traffic, thereby achieving good intrusion detection performance.

11p viling 11-10-2024 3 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

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

In this article, we establish a Digital Radio over Fiber (DRoF) information system with two wireless channels utilizing two advanced phase modulation techniques, namely Differential Phase Shift Keying (DPSK), for the CRAN connection and investigate parameters related to nonlinearity such as refractive index n2.

6p viengfa 28-10-2024 4 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 4 2   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 4 3   Download

The study was conducted to determine the level of awareness, behavior and willingness to pay for reusable bags of students at Thai Nguyen University of Economics and Business Administration. We applied Contingent Valuation Method and conducted a survey of 370 students at Thai Nguyen University of Economics and Business Administration.

8p viengfa 28-10-2024 1 1   Download

This study was conducted with the hope that from the results obtained, we can evaluate the online teaching capacity of high school English teachers in Hai Duong province in terms of TPACK (Technological Pedagogical Content Knowledge) and investigate the challenges that teachers are facing.

7p viengfa 28-10-2024 0 0   Download

In this article, we have presented the practical use of the Delphi technique and the Stable Prioritization Towards Ideal Solution (SPOTIS) method to in-depth assess the level of sustainable development of Hai Phong and Quang Ninh in the period 2016 - 2021.

12p viengfa 28-10-2024 5 2   Download

In the present study, we aimed to evaluate the lead (Pb) partitioning and its ecological risks in tidal creek sediments within the Can Gio mangrove estuary by using a method of sequential extraction.

9p viengfa 28-10-2024 1 1   Download

In this study, we constructed a specialized unit designed for in-situ ad in real time fermentation monitoring, which shares similarities to the unit employed for determining Solid-Liquid Equilibrium (SLE) and crystallization.

9p viengfa 28-10-2024 1 0   Download

We calculate the exciton radiative lifetime of spherical Indium Phosphide (InP) and Cadmium Selenide (CdSe) colloidal quantum dots. In experiments, InP and CdSe quantum dots can be coated by another semiconductor shell, organic ligands, or inorganic molecules.

7p viengfa 28-10-2024 2 0   Download

In this study, we report on the hydrothermal synthesis of ZnO nanorods and the change in photocatalytic properties with different hydrothermal temperatures in the decomposition of Methylene blue (MB) and Rhodamine B (RhB) under visible light.

11p viengfa 28-10-2024 2 1   Download

In this study, we aim to delineate landslide susceptibility zones within Dien Bien province, Vietnam, leveraging the capabilities of various machine learning models including Light Gradient Boosting Machine (LGBM), K-Nearest Neighbors (KNN), and Gradient Boosting (GB).

19p viengfa 28-10-2024 4 2   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