Bài giảng "Học sâu và ứng dụng: Bài 3 - Giới thiệu về mạng tích chập Conv Neural Networks" nhằm giúp sinh viên làm quen với một trong những kiến trúc học sâu quan trọng nhất – mạng nơ-ron tích chập (Convolutional Neural Networks - CNN) – được ứng dụng rộng rãi trong lĩnh vực xử lý ảnh và thị giác máy tính.

This study proposes an improved optimization algorithm, combining a chaotic search function and the Runge Kutta optimizer, to address the optimal power dispatch problem for EVCS integrated with Vehicle-to-Grid technology in Distribution Networks featuring Distributed Generation and Battery Energy Storage Systems.

This paper introduces an analytical model to assess collision probabilities, applicable for evaluating the effectiveness of WSNs using tree routing protocols. It examines collision probabilities across various types of traffic load, including routing and data traffic, highlighting their interconnected influences.

This paper deals with synchronization analysis problem for a class of fractional-order neural networks with unbounded delays. Using the Lyapunov function method combined with fractional Halanay inequality, we derive a novel sufficient condition for asymptotic stability of the error system resulting in two neural networks are synchronized.

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.

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.

Electricity demand is increasing, transmission line development can not keep up with it. This puts the power system in a full load state which puts the power system operating near the boundary of stability. This paper applies deep neural networks to predict power system dynamic stability.

This paper presents a technique for integrating battery energy storage systems (BESS) into a distribution network with penetration of wind and solar power in order to improve the operation efficiency of distribution networks, exploit renewable energy capability, and reduce operation issues.

This paper investigates the problem of finite-time stability for discrete-time neural networks with sector-bounded neuron activation functions and interval-like timevarying delay. The extended reciprocally convex approach is used to establish a delay-dependent sufficient condition to ensure finite-time stability for this class of systems.

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

Bài giảng Nhập môn Học máy và Khai phá dữ liệu - Chương 10: Mạng nơron (Neural networks). Chương này cung cấp cho học viên những nội dung về: mạng nơ-ron nhân tạo; cấu trúc và hoạt động của một nơ-ron; kiến trúc mạng ANN; hàm đánh giá lỗi (Loss function); giải thuật học lan truyền ngược;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

Lecture Electronic commerce - Chapter 18: Social Networks and Industry Disruptors in the Web 2.0 Environment learning objectives: Understand the Web 2.0 revolution, social and business networks and industry and market disruptors. Describe Google and the search engine industry, the impact on advertisement, and the industry competition. Understand the concept, structure, types and issues of virtual communities. Understand the social and business networks and describe MySpace, Flicker, Facebook, CyWorld, and other amazing sites

Bài giảng Kỹ thuật tấn công và phòng thủ trên không gian mạng - Module 11: Hacking Wireless Networks cung cấp cho người học những kiến thức như: Công nghệ không dây; Bảo mật không dây; Tấn công trên môi trường wireless; Bảo mật wireless. Mời các bạn cùng tham khảo!

Research Aims: The thesis aims to develop deep neural networks for analyzing security data. These techniques improve the accuracy of machine learning-based models applied in NAD. Therefore, the thesis attempts to address the above challenging problems in NAD using models and techniques in deep neural networks. Specifically, the following problems are studied.

The research provides answers to the above questions with probabilistic approaches and tools to assess the impacts of risk factors on software project scheduling; proposing list of common risk factors and Bayesian Network model of these risk factors; and proposing advanced scheduling methods based on incorporating Bayesian Networks into popular scheduling techniques such as CPM, PERT or agile iteration scheduling etc. Bayesian Networks help quantify the factors, and hence help better manage them as well as enhancing the predictability of things happen in the project.

The purpose of the topic Researching and building models of regional-linked hydropower turbine speed control system. Research on building regional-linked hydroelectric turbine speed control system on the basis of fuzzy logic and artificial neural networks to improve control quality.

The propose a new method aiming to adjust the TXOP parameter according to a dynamic mechanism that suits the priority of each data type from the existing limitations with TXOP parameter in IEEE 802.11 EDCA; the propose a novel fuzzy logic approach for enhancing the fairness of low priority data flows in IEEE 802.11 EDCA.

Studying and proposing some improvements in the burst assembly with delay reduction to reduce the communication delay over OBS networks; Studying and proposing a solution of the burst assembly with delay fairness for delay-based QoS difference, delay reduction and delay fairness of different priority flows. Studying and proposing a solution with throughput fairness, which can be applied to different types of incoming flows with Poisson and nonPoisson distribution.

In this thesis, we investigate the problem of IoT services deployment in Cloud-Fog system to provide IoT services with minimal resource usage cost. We for-mulate the problem using a Mixed-Integer Linear Programming model taking into account the characteristics of computing and transmission resources in Cloud-Fog system as well as the IoT services specific requirements.

Bài giảng Mạng máy tính (Computer Networks): Chương 1 - Networking Basics cung cấp cho các bạn những kiến thức về lịch sử mạng máy tính, yếu tố của mạng máy tính, yêu cầu khi thiết kế lắp đặt mạng và một số nội dung khác.