Artificial Intelligence Application in Networks and Systems : Proceedings of 12th Computer Science On-line Conference 2023, Volume 3 / edited by Radek Silhavy, Petr Silhavy.

Format:

Book

Contributor:

Silhavy, Radek, editor.

Silhavy, Petr, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 724

Language:

English

Subjects (All):

Computational intelligence.

Software engineering.

Computational Intelligence.

Software Engineering.

Local Subjects:

Computational Intelligence.

Software Engineering.

Physical Description:

1 online resource (854 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

The application of artificial intelligence in networks and systems is a rapidly evolving field that has the potential to transform a wide range of industries. The refereed proceedings in this book is from the Artificial Intelligence Application in Networks and Systems session of the Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The section brings together experts from different fields to present their research and discuss the latest trends and challenges. One of the key themes in this section is the development of intelligent systems that can learn, adapt, and optimize their performance in real time. Researchers are exploring how AI algorithms can be used to create autonomous networks and systems that can make decisions without human intervention. Furthermore, this section highlights the use of AI in improving network performance and efficiency. Researchers are exploring how AI algorithms can be used to optimize network routing, reduce congestion, and improve the quality of service. These efforts can help organizations save costs and improve user experience.

Contents:

Intro

Preface

Organization

Contents

Prediction Model for Tax Assessments Using Data Mining and Machine Learning

1 Introduction

2 Literature Review and Related works

3 Methodology

3.1 Model Design and Implementation

3.2 Web Application Design and Implementation

4 Results

4.1 Random Forest Score Classifier

4.2 Confusion Matrix

4.3 ROC Curve

5 Discussion and Conclusion

References

A Review of Evaluation Metrics in Machine Learning Algorithms

2 Related Work

3 Evaluation Metrics

4 Results and Discussion

5 Conclusion

Hardware Implementation of IoT Enabled Real-Time Air Quality Monitoring for Low- and Middle-Income Countries

1.1 Lack of Air Quality Monitory Systems in Africa

1.2 Air Quality Index in Air Quality Monitoring

2 Methods and Materials

2.1 Proposed Hardware Model and Work Flow

2.2 Sensing Unit

3 Experimental Setup

Predicting the Specific Student Major Depending on the STEAM Academic Performance Using Back-Propagation Learning Algorithm

2 Related Works and Research Gap

3 The Proposed Approach

3.1 The Dataset Description

3.2 The STS Model

3.3 The (SAF) Model

3.4 Factors Impacting Student Performance

3.5 Input Layer (SAF) Model

3.6 Hidden Layer (SAF) Model

3.7 Output Layer (SAF) Model

4 Final Decision

5 Optimization Procedure

6 Results

7 Conclusion

Data Mining, Natural Language Processing and Sentiment Analysis in Vietnamese Stock Market

3 Approach

3.1 General

3.2 Data Crawling

3.3 Labeling System

4 Experiments

4.1 Dataset Number One

4.2 Dataset Number Two

4.3 Comments

5 Conclusions

References.

Two Approaches to E-Book Content Classification

2 An Initial Data and an "Image" Model

3 Classification Based on a Mixed Text-Formula Model

3.1 Data Preparation

3.2 Feature Extraction in a Text-Formula Model

4 Practical Results of Classification

On the Geometry of the Orbits of Killing Vector Fields

2 The Geometry of Killing Vector Fields

3 The Classification of Geometry of Orbits

4 On the Compactness of the Orbits

5 Applications in Partial Differential Equations

6 Conclusion

The Classification of Vegetations Based on Share Reflectance at Spectral Bands

2 Materials, Data and Methods

3 Results

3.1 Preparation Data of Share Reflection for Vegetations

3.2 Classification of Vegetations Based on Share Reflectance at Bands

4 Discussion

The Problem of Information Singularity in the Storage of Digital Data

2 Overview of Information Singularity Issues

2.1 Storing and Interpreting Streaming Videos

2.2 Expertise in the Value of Digital Data

2.3 Linked Data Search and Distributed Digital Data

2.4 Digitization of Documents

3 Possible Solution to the Information Singularity Problem

4 The Problem of Solving the Information Singularity Problem

Autonomous System for Locating the Maize Plant Infected by Fall Armyworm

2 Proposed Solution

2.1 Evaluation Parameter

2.2 Proposed Algorithm

3 Experimental Results and Discussion

4 Conclusion

The Best Model for Determinants Impacting Employee Loyalty

2 Literature Review

2.1 Employee Loyalty

2.2 Compensation

2.3 Work Environment

2.4 Coworker Relationships

2.5 Training and Development.

2.6 Job Satisfaction

3.1 Analytical Technique

3.2 Data and Sample

4.1 Results

4.2 Discussion

5 Conclusions and Limitations

Intrusion Detection with Supervised and Unsupervised Learning Using PyCaret Over CICIDS 2017 Dataset

3 Dataset Analysis and Preprocessing

4 Methodology

5 Experimental Results

A Web Application for Moving from One Spot to Another by Using Different Public Transport - a Logical Model

1 MVC

2 Model of Application

3 Conclusion

Traffic Prediction for VRP in Intelligent Transportation Systems

2 Real-Time Prediction System Design

2.1 Dataset

2.2 Data Processing Pipelines

2.3 Missing Values

3 Models

4.1 Conclusion

Enhancing Monte-Carlo SLAM Algorithm to Overcome the Issue of Illumination Variation and Kidnapping in Application to Unmanned Vehicle

3.1 Image Acquisition Stage

3.2 Feature Extraction Stage

3.3 Filtering Stage

3.4 Simultaneous Localization and Mapping Stage

3.5 Simultaneous Localization and Mapping Stage

4 Experiment and Result

A Neighborhood Overlap-Based Binary Search Algorithm for Edge Classification to Satisfy the Strong Triadic Closure Property in Complex Networks

2 Binary Search Algorithm to Determine the Threshold NOVER Score

3 Execution of the Binary Search Algorithm on Real-World Networks

4 Related Work and Contributions

5 Conclusions and Future Work

Novel Framework for Potential Threat Identification in IoT Harnessing Machine Learning

3 Problem Description

4 Proposed Methodology.

5 Method Implementation

5.1 Dataset Adopted for Study

5.2 Autoencoder Design

6 Results Discussion

Multivariate Statistical Techniques to Analyze Crime and Its Relationship with Unemployment and Poverty: A Case Study

2 Materials and Methods

2.1 Data Description

2.2 HJ-Biplot

2.3 Clustering

2.4 Methodology

3 Results and Discussion

3.1 Analysis of Crime from January 2021 - May 2022

3.2 Analysis of Crime, Unemployment, and Poverty from 2019-2021

Bidirectional Recurrent Neural Network for Total Electron Content Forecasting

2 Data and Methods

2.1 Experimental Data

2.2 Data Preprocessing

2.3 Recurrent Neural Networks

2.4 Bidirectional Recurrent Neural Networks

2.5 The Proposed Deep Neural Networks for TEC Forecasting

4 Conclusions

Convolutional Neural Network (CNN) of Resnet-50 with Inceptionv3 Architecture in Classification on X-Ray Image

2 State of the Art

2.2 Model Deep Learning

2.3 Evaluation Metrics

2.4 Data Sharing and Hyperparameter

3 Result and Discussion

3.1 Result

3.2 Discussion

Image Manipulation Using Korean Translation and CLIP: Ko-CLIP

3 Method

3.1 Structure

3.2 BERT

3.3 CLIP

3.4 StyleGAN

4 Performance Evaluation

4.1 Environment

4.2 Tokenization

6 Limitations of the Study

Internet Olympiad in Computer Science in the Context of Assessing the Scientific Potential of the Student

Evaluation of the Prognostic Significance and Accuracy of Screening Tests for Alcohol Dependence Based on the Results of Building a Multilayer Perceptron

2 Method

Geographic Data Science for Analysis in Rural Areas: A Study Case of Financial Services Accessible in the Peruvian Agricultural Sector

2 Geographic Data Science

2.1 Open Geographic Information to Solve Societal Issues

2.2 Spatial Considerations and Financial Accessibility in Rural Areas

3 Material and Method

3.1 Spatial Data

3.2 Empirical Methodology

4.1 Peruvian Regional Visualization

4.2 Spatial Considerations of Local Financial Accessibility by Regions

A Sensor Based Hydrogen Volume Assessment Deep Learning Framework - A Pohokura Field Case Study

2 Methodology

4 AI Storage Volume Assessment

Complex Network Analysis of the US Marine Intermodal Port Network

2 Cluster Analysis

3 Centrality Metrics

4 Principal Component Analysis of Network-Level Metrics

A Maari Field Deep Learning Optimization Study via Efficient Hydrogen Sulphide to Hydrogen Production

2 Reservoir

3 Optimization Study

Daeng AMANG: A Novel AIML Based Chatbot for Information Security Training

2 Related Studies

Forecasting Oil Production for Matured Fields Using Reinforced RNN-DLSTM Model

3 LSRM Model Framework

4 Data Set

5 RNN-DLSTM Model

6 The Volve Field Details

7 Results and Discussion.

8 Conclusions and Recommendations.

Notes:

Includes index.

Other Format:

Print version: Silhavy, Radek Artificial Intelligence Application in Networks and Systems

ISBN:

3-031-35314-5