Deep neural network

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.

10p viling 11-10-2024 2 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

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 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

Bài viết trình bày về cách sử dụng nhiều GPU để huấn luyện mô hình trong học sâu (Deep Learning). Chúng tôi khảo sát các chiến lược học sâu trên mạng nơ-ron tích chập (Convolutional Neural Network – CNN).

7p viling 11-10-2024 1 0   Download

Severe air pollution in Vietnam's tourism areas has become a significant economic issue in recent years. While many studies have found a link between population exposure to air pollution and poor health outcomes, short-term exposure to air pollutants in high-pollution zones can result in acute health consequences; thus, poor air quality jeopardizes visitors' health and well-being and threatens the tourism industry's sustainability.

14p viyamanaka 06-02-2025 3 2   Download

This paper presents initial experiments on using deep learning to identify pulmonary diseases through X-ray image recognition. In experiments, there were three pulmonary diseases: aortic enlargement, lung opacity, and another lesion.

9p tuetuebinhan000 23-01-2025 3 1   Download

Modern civilization is heavily dependent on energy, which burdens the energy sector. Therefore, a highly accurate energy consumption forecast is essential to provide valuable information for efficient energy distribution and storage. This study proposed a hybrid deep learning model, called I-CNN-JS, by incorporating a jellyfish search (JS) algorithm into an ImageNetwinning convolutional neural network (I-CNN) to predict weekahead energy consumption.

6p vibenya 31-12-2024 7 2   Download

This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability.

7p vibenya 31-12-2024 6 2   Download

Bài giảng "Máy học nâng cao: Deep learning an introduction" cung cấp cho người học các kiến thức: Introduction, applications, convolutional neural networks and recurrent neural networks, hardware and software. Mời các bạn cùng tham khảo nội dung chi tiết.

109p abcxyz123_08 11-04-2020 57 6   Download

This thesis develops a flexible customer behavior analysis system, including essential head pose estimation or F-formation modules. This system will be evaluated in an actual retail store. Further, after studying the system, realizing the mentioned problems of the head pose problem, we also propose a process to collect the head pose dataset and multi-task deep neural network model, fusing face detection and head pose estimation to yield face position and head pose at the same time.

72p khanhchi0912 12-04-2024 8 2   Download

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 10 4   Download

Mục tiêu nghiên cứu của luận văn là vận dụng kiến thức đã học để xây dựng một hệ thống trả lời tự động, sử dụng mạng học sâu Deep Neural Networks, dựa trên khung làm việc sequence-to-sequence và cơ chế attention để sinh ra câu trả lời tự động từ một chuỗi đầu vào tương ứng. Mô hình được huấn luyện end-to-end GNMT (Google’s Neural Machine Translation) trên tập dữ liệu miền mở có sẵn.

72p matroinho2510 08-11-2022 80 17   Download

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.

128p armyofthedead 23-06-2021 21 3   Download

With Europe’s ageing fleet of nuclear reactors operating closer to their safety limits, the monitoring of such reactors through complex models has become of great interest to maintain a high level of availability and safety.

9p christabelhuynh 29-05-2020 13 1   Download

Luận văn đặt ra mục tiêu nghiên cứu các mô hình có thể phát sinh văn bản, sử dụng các mạng học sâu Deep Neural Networks, dựa trên khung làm việc sequence-to-sequence, để huấn luyện trên tập dữ liệu câu hỏi và trả lời tại trường Đại học Công nghiệp Hà Nội. Từ đó xây dựng, cài đặt và vận hành một mô hình trả lời tự động với mục tiêu của đề tài là tiết kiệm được nhân lực và thời gian trong quá trình tiếp nhận, và giải quyết các yêu cầu của học sinh - sinh viên trong trường.

18p hanh_tv27 06-04-2019 64 5   Download