Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 / edited by Kohei Arai.

Format:

Book

Author/Creator:

Arai, Kohei.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 822

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Automatic control.

Robotics.

Automation.

Computational Intelligence.

Artificial Intelligence.

Control, Robotics, Automation.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Control, Robotics, Automation.

Physical Description:

1 online resource (897 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.

Contents:

Intro

Editor's Preface

Contents

Active Restoration of Lost Audio Signals Using Machine Learning and Latent Information

1 Introduction

2 Related Work

3 ARLAS: Active Restoration of Lost Audio Signals

3.1 Halftone-Based Compression and Reconstruction (HCR)

3.2 Deployed Deep/Machine Learning Architectures

4 Experimental Set-Up

4.1 State of the Art Methods

4.2 Data Set (Audio Samples)

4.3 Evaluation Metrics

4.4 Software Environment

5 Results and Analysis

6 Conclusions

References

Designing Cancellation Intervention System with Sliding Lead Times

2 Literature Review on Cancellation Policies and Forecasting

3 Data Description and Preliminary Analysis

3.1 Data Description, Data Cleansing, and Data Engineering

3.2 Identifying the Determinants of Booking Cancellation

3.3 Calibrating the Prediction Models of Booking Cancellation

3.4 Missing Links Between Prediction and Cancellation Intervention Systems

4 Intervention Strategy on the Bookings with Short Lead Times

4.1 Calibrating Prediction Models with Class Weights

4.2 Implications of Prediction Models on Cancellation Intervention Strategy

5 Intervention Strategy on the Bookings with Longer Lead Times

5.1 Calibrating Prediction Models with Class Weights

5.2 Implications of Prediction Models on Cancellation Intervention Strategy

6 Conclusion and Future Work

Automatic Generation of a Portuguese Land Cover Map with Machine Learning

3 Methodology

3.1 BigEarthNet Dataset

3.2 LandCoverPT Dataset

3.3 Models

4 Experiments and Results

4.1 Support Vector Machine Classifier

4.2 Random Forest Classifier

4.3 U-Net

5 Conclusions and Future Work

The Use of Fuzzy Controllers in Automatic Control Systems for Quadcopters.

1 Introduction

2 Problem Definition

3 Quadcopter Control Based on Fuzzy Logic

4 Fuzzy Inference System for Automatic Maneuvering of the Quadcopter

5 Quadcopter Control Based on the Artificial Neural Network

6 Conclusion

POWOP: Weather-Based Power Outage Prediction

2 POWOP Service Implementation

2.1 Data Repository

2.2 Scenario Patterns

2.3 Machine Learning

2.4 Graphical User Interface

3 Conclusion

Toward a Human-in-the-Loop Approach to Create Training Datasets for RDF Lexicalisation

2 State of the Art

3 Defining a Pipeline for RDF Extraction from Text

3.1 Data Import and Preparation

3.2 Entity Resolution

3.3 Relation Extraction

4 Crowdsourcing-Based Relation Extraction

4.1 User Training

4.2 Task Design and Quality Control

5 Validation

5.1 Automatic Evaluation

5.2 Manual Evaluation

6 Conclusions and Future Research

Fuzzy Time Series Forecasting on the Example of the Dow Jones Index Dynamics

3 Fuzzification of DJIA Time Series Data

4 DJIA Fuzzy Time Series Forecasting

5 Forecasting the DJIA Time Series in Nominal Values Based on the Use of the 1st Order Fuzzy Model

Traffic State Prediction of Perturbed and Non-perturbed Traffic Scenarios

3 Traffic State Prediction Models

3.1 Long Short-Term Memory (LSTM)

3.2 Spatio-Temporal Graph Convolutional Network (ST-GCN)

4 Performance Evaluation

4.1 Simulation-Based Data Generation

4.2 Experimental Settings

4.3 Results and Analysis

5 Summary and Conclusion

"Seeing Sound": Audio Classification Using the Wigner-Ville Distribution and Convolutional Neural Networks

1 Introduction.

2 Open-Source Datasets

2.1 AudioSet

2.2 UrbanSound8K

2.3 Urban-SED

2.4 Environmental Sound Classification-50 (ESC-50) Dataset

2.5 Montevideo Audio Visual Dataset (MAVD-Traffic)

2.6 Military Vehicle Dataset

3 Literature Review

4 Time-Frequency Distributions and the Wigner-Ville Distribution

5 Technical Approach

6 Results

6.1 UrbanSound8K

6.2 Military Vehicle Classification

6.3 Esc-50

6.4 Note on Maximization of Accuracy

7 Conclusions

8 Future Work

Application and Performance Improvement of Transfer Learning on ICBHI Lung Sound Dataset

1.1 Our Contribution

1.2 Outline of this Paper

3.1 Dataset

3.2 Evaluation Method and Criteria

3.3 Preprocessing

3.4 Transfer Learning

3.5 Snapshot Ensemble

4.1 Performance Comparison

4.2 Demographic Data

4.3 Comparison of Model Performance based on Subject Gender

5 Conclusion and Future Work

A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty

1.1 Conception

2 The Brain Memory Model in CSSCBMIUU

2.1 The Psycholinguistic and Domain Model of Computational Brain Memory

2.2 The Fuzzy Situational Computing Model of the Self-Controlled Brain

3 The CSSCBMIUU's Computational Mind Modeling

3.1 The Modeling of Computational Mind via Situational-Fuzzy Self-controlled Brain's Functionality Under Uncertainty

4 Conclusion

Ethical Concerns About Personhood, Responsibility, and Privacy in Active and Passive Brain-Computer Interfaces

2 Literature Review

2.1 Ethical Domains

2.2 Ethical Concerns in Active and Passive BCIs

3 Methods

3.1 Subjects

3.2 Materials

3.3 Procedure

3.4 Analysis

4 Results

5 Discussion.

6 Conclusion

The VesselAI Methodology for AI-Powered Decision Support Systems for the Maritime Industry

2 The VesselAI Methodology

2.1 User Requirements and MVP Definition

2.2 VesselAI Platform Methodology

3 Conclusions and Next Steps

An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA

2 Autoencoder Types

2.1 Simple Autoencoder

2.2 Convolutional Autoencoder

2.3 Denoising Autoencoder

2.4 Sparse Autoencoder

3 Method

4.1 Dataset

4.2 Training Details

4.3 Experimental Setup

4.4 FPGA Implementation

4.5 Comparison

Convergence of the Mini-Batch SIHT Algorithm

1.1 Summary of Contributions

3 Definitions

4.1 Stochastic Results for Sample Average

4.2 Stochastic Results for Hard Thresholding Operator

5 Conclusion

Graph Autoencoder-Based Detection of Unseen False Data Injection Attacks in Smart Grids

1.1 Related Work and Limitations

1.2 Contributions

2 Data Preparation

2.1 System Model

2.2 Benign Data

2.3 Malicious Data

2.4 Dataset Splitting

3 GAE-Based Detector

3.1 GAE Model Architecture

3.2 Training and Testing the GAE Model

4 Experimental Results

4.1 Benchmark Detectors

4.2 Hyperparameter Selection

4.4 Detection Performance

5 Conclusions

Causal Analysis of Artificial Intelligence Adoption in Project Management

2.1 AI in Project Management

2.2 Challenges While Applying AI in Project Management

2.3 Factors Influencing the Adoption of AI

3 Hypothesis Development

3.1 Selected Factors Influencing the Use of AI.

3.2 Hypothesis Formulation

4 Survey Design

5 Sample Description and Analysis Method

5.1 Sample Description

5.2 PLS-SEM

6 Analysis Results

6.1 Measurement Model

6.2 Structural Model, Inner Model

7 Discussion

8 Conclusions

Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns

2 Summary of State-of-the-Art

3 Proposed Methodology

3.1 Feature Extraction

3.2 Identification Process

4 Results and Discussion

4.1 Discussion on Experimental Results

5 Conclusions and Future Works

URL Classification with Intrusion Detection System

1.1 General Overview

1.2 Section Overview

1.3 Problem Statement

2 Literature Survey

2.1 URL Classification

2.2 The Intrusion Detection System

3.2 The Packet Capture Module

3.3 The URL Classification And Categorization

3.4 The Intrusion Detection System

3.5 Advantages

4 Result

NP4G: Network Programming for Generalization

2 Related Research

2.1 Automatic Programming

2.2 Inductive Inference

2.3 Genetic Programming

3 Proposed Method

3.1 Basic Concept of NP4G

3.2 Structure Theorem

3.3 Basic Structure of NP4G

4 Acquisition of a Bitwise NOT Operation Program

4.1 Preliminarily Provided Functions

4.2 Example of a Bitwise NOT Operation Program

4.3 Verification Method

5 Results and Discussion

6.1 Summary and Significance of this Study

6.2 Future Issues

Blockchain and AI for Optimizing Bank Data Security

3 Architecture of the Interbank Transaction

3.1 Architecture

3.2 Analysis of the Vulnerabilities of the Existing Architecture.

4 IA and Blockchain Security.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031477218

3031477219

OCLC:

1417196693