Network

Giáo trình Quản trị mạng 2 (Ngành: Quản trị mạng máy tính – Trình độ Trung cấp) gồm có những nội dung chính sau: Bài 1: Tinh chỉnh và giám sát mạng Windows server; Bài 2: Khôi phục server khi bị hỏng; Bài 3: Cài đặt và quản lý remote access services (RAS) trong Windows server; Bài 4: Group Policy Object; Bài 5: Giới thiệu về ISA Server; Bài 6: Cài Đặt và cấu hình sử dụng các Rule trong ISA; Bài 7: Dịch vụ Virtual Private Network; Bài 8: Publishing; Bài 9: Monitor ISA Server.

181p nienniennhuy00 28-10-2024 0 0   Download

To evaluate distress in newly diagnosed cancer patients. Subjects and methods: Cross-sectional prospective study of 67 newly diagnosed patients at the Department of Pain Management and Palliative Care, Military Central Hospital 108, from August to October, 2023. The patient’s level of distress was assessed by the Distress Thermometer - DT and the Problem List (PL) of NCCN February 2022, Vietnamese version.

6p vipanly 28-10-2024 1 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 study presents a novel neural network (NN) framework for developing force fields specific to graphene monolayers, utilizing data obtained from first-principles calculations. The authors analyze three primary force components, force magnitude and the cosines of two angles across different configurations of surrounding carbon atoms.

7p viengfa 28-10-2024 4 2   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 1 1   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 2 1   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 1 1   Download

High quality of service (QoS) requirements in multi-priority wireless sensor networks pose new challenges to the Internet of Things (IoT). In a multi-event wireless sensor network (MWSN), nodes generate different types of data packets with different priority such as urgent (high priority) or normal (low priority), with different traffic proportion.

10p viengfa 28-10-2024 1 1   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 1 1   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 aims to address this limitation by introducing techniques for estimating trustworthiness from a community context. These techniques rely on similarity measures or operators within the framework of path algebra.

8p viengfa 28-10-2024 2 2   Download

In operating the distribution network, the problem of reconfiguration distribution network according to the change of load to reduce power loss has partly reduced the operation cost of the distribution network but it can impact the reliability of power supply to the load.

11p viengfa 28-10-2024 2 1   Download

Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.

6p viengfa 28-10-2024 1 1   Download

The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.

9p viengfa 28-10-2024 2 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 2 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

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 5 2   Download

The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.

10p viengfa 28-10-2024 1 1   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