Network data and network

Radio over Fiber (RoF) stands as a cuttingedge technology poised to revolutionize emerging wireless networks, especially in the context of fifth-generation Cloud-Radio Access Networks (C-RAN). Concurrently, with the pervasive integration of deep learning across diverse domains such as communication and data processing, this investigation delves into the nonlinear effects observed in a fronthaul interface.

6p vithomson 02-07-2024 0 0   Download

This research focuses on developing a method to optimize the DCNN (Deep Convolutional Neural Network) classification model for plant diseases. We enriched the data by incorporating data from two public datasets, PlantVillage Dataset (PVD) and CroppedPlant Dataset (CPD), and we trained the model using two-step transfer learning.

6p vithomson 02-07-2024 0 0   Download

In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term. First, data from Nhi Ha solar farm were collected and underwent preprocessing before being utilized by aforementioned distinct machine learning models.

8p vialicene 02-07-2024 0 0   Download

Part 2 of ebook "Introduction to artificial intelligence (Second edition)" provides readers with contents including: Chapter 8 - Machine learning and data mining; Chapter 9 - Neural networks; Chapter 10 - Reinforcement learning; Chapter 11 - Solutions for the exercises;...

178p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 10 - Boosting and additive trees; Chapter 11 - Neural networks; Chapter 12 - Support vector machines and flexible discriminants; Chapter 13 - Prototype methods and nearest-neighbors; Chapter 14 - Unsupervised learning; Chapter 15 - Random forests; Chapter 16 - Ensemble learning; Chapter 17 - Undirected graphical models; Chapter 18 - High-dimensional problems p ≫ N;...

409p daonhiennhien 03-07-2024 4 1   Download

Part 1 of ebook "Tourism management, marketing, and development (Volume I: The importance of networks and ICTs)" provides readers with contents including: ICT and tourism; tourism branding, identity, reputation co-creation, and word-of-mouth in the age of social media; technological innovation in e-tourism; open data challenges and opportunities for the tourism industry; the role of ICT within tourism development processes in post industrial sites; e-reputation management and strategic business development using web 2.0 tools;...

137p giangmacvien 22-06-2024 4 1   Download

Part 2 of ebook "Social media management: Technologies and strategies for creating business value" provides readers with contents including: Chapter 6 - Search engine optimization; Chapter 7 - Sentiment analysis and opinion mining (Business intelligence 1); Chapter 8 - Social network data and predictive mining (Business intelligence 2); Chapter 9 - e-Recruitment; Chapter 10 - Crowdfunding; Chapter 11 - Legal and ethical issues in social media; Chapter 12 - Wrap-up;...

133p giangmacvien 22-06-2024 1 1   Download

Multicenter non-small cell lung cancer (NSCLC) patient data is information-rich. However, its direct integration becomes exceptionally challenging due to constraints involving different healthcare organizations and regulations.

11p vikoch 27-06-2024 2 1   Download

This paper addresses the challenge of fault detection in Wireless Sensor Networks (WSNs), commonly used in fields like environmental monitoring and healthcare. WSNs, prone to various faults due to their deployment in unpredictable environments, require effective solutions for fault detection. Traditional machine learning approaches show limitations such as unsuitability for streaming data and the detection of a single fault type.

10p visergeyne 18-06-2024 1 0   Download

This paper proposes a spike train encoding and decoding solution to process input and output signals for the spiking neural networks. The efficiency of the proposed solution is verified by the experimental tasks: The XOR classification problem and the aerodynamic coefficients identification of an aircraft from the data sets are recorded from flights.

7p visergeyne 18-06-2024 2 0   Download

In this article, we propose a generative model based on the adversarial network structure to enhance images for the RAD-DAR multi-target dataset. The results of comparisons and evaluations indicate that the images generated by the proposed method exhibit a high degree of similarity to the original images.

7p visergeyne 18-06-2024 2 0   Download

Vietnamese text-based person search is still a challenging problem with the limited dataset of Vietnamese descriptions. The current popular approach to this problem is Deep Neural Networks (DNNs), and recently, transformer networks have been more favored because of their outperformance over CNN and RNN networks for both vision and natural language processing tasks.

9p viambani 18-06-2024 5 1   Download

Anomaly detection for Internet of things (IoT) networks is a challenging issue due to the huge number of devices that connect to each other and generate huge amounts of data. In this study, we propose a model combining Autoencoder (AE) with classification algorithms to build an endto-end architecture for processing, feature extraction and data classification.

13p viambani 18-06-2024 7 1   Download

"Mobility, data mining & privacy: Geographic knowledge discovery" is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the various scientific and technological achievements that are needed to face the challenge, and discuss the current state of the art, the open problems and the expected road-map of research.

412p zizaybay1103 29-05-2024 3 2   Download

Ebook Proceedings of the 4th international conference on computer engineering and networks is organized as follows: Part I: Algorithm design, part II: Data processing, part III: Pattern recognition, part IV: Cloud computing, part V: Embedded systems, part VI: Network optimization.

1252p zizaybay1103 29-05-2024 2 2   Download

This Telecommunications Handbook aims to tackle the need prior to the concretization of 5G. It is a wellknown fact that systems evolve so fast that literature tends to become outdated at the moment of publication. Nevertheless, the basics of the relevant systems are valid for the long term, and the presentation of the complete set within one book is justified, especially when the information is useful for a variety of professional profiles in order to understand the interdependencies of the systems.

1007p zizaybay1103 29-05-2024 2 2   Download

Part 2 of ebook "Device applications of nonlinear dynamics" provides readers with contents including: signal processing and applications; suprathreshold stochastic resonance mediated by multiplicative noise; noise for health, phage-based rapid bacterial identification method; parametric resonance near hopf-turing instability boundary; recurrent neural networks in rainfall–runoff modeling at daily scale; distributed data acquisition system for environment monitoring nonlinear processes;...

99p dongmelo 26-05-2024 4 3   Download

Continued part 1, part 2 of ebook "Complex dynamics in communication networks" provides readers with contents including: chaos-based generation of artificial self-similar traffic; macroscopic dynamics in large-scale data networks; modelling the complex internet topology; evolution of the internet topology and traffic dynamics of data packets; nonlinear instabilities in TCP-RED; synchronization in complex networks;...

202p dongmelo 20-05-2024 4 2   Download

In this study, a surrogate model based on artificial neural networks (ANN) will be established to predict the mechanical behaviors of the plastic Primitive TPMS reinforced beams. Finite element analysis (FEA) simulation results of different numbers of reinforcement layers and volume fractions were adopted as the model data, the robust model have been owing to a hyperparameter tuning investigation.

10p dathienlang1012 03-05-2024 5 0   Download

This paper is aimed at examining Vietnam Payment Solutions (VNPAY), a significant fintech business in digital payments. Data is collected from expert interviews. The research team applies the methodology of analysing VNPAY’s sources of competitive advantage. The key results are that VNPAY’s competitive advantage originates from innovative technology, a large merchant/bank network, powerful data analytics, strategic alliances, operational efficiency, regulatory knowledge, talented staff, and a strong brand recognition.

12p dathienlang1012 03-05-2024 2 0   Download