Smart Applications with Advanced Machine Learning and Human-Centred Problem Design / by D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut.

Format:

Book

Author/Creator:

Hemanth, D. Jude, author.

Series:

Engineering Cyber-Physical Systems and Critical Infrastructures, 2731-5010 ; 1

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Engineering--Data processing.

Engineering.

Computational Intelligence.

Artificial Intelligence.

Data Engineering.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Data Engineering.

Physical Description:

1 online resource (801 pages)

Edition:

1st ed. 2023.

Place of Publication:

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

Summary:

This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.

Contents:

Intro

General Committees

Honorary Chairs

General Chair

Conference Chairs

Organizing Committee

Secretary and Social Media

Accommodation and Registration/Venue Desk

Travel/Transportation

Web/Design/Conference Session

Scientific Committee

Keynote Speaks

ICAIAME 2021 Keynote Speakers

Foreword

Preface

Contents

About the Conference

Scope/Topics

Conference Scope/Topics (as not limited to)

Conference Posters

1 Implementation of Basic Math Processing Skills with Neural Arithmetic Expressions in One and Two Stage Numbers

1.1 Introduction

1.1.1 Neural Arithmetic Expressions and Logic Units

1.1.2 Long Short-Term Memory Algorithm

1.2 Related Work

1.3 Proposed Method

1.4 Experimental Findings

1.5 Conclusions

References

2 An Example Application for Early Diagnosis of Retinal Diseases Using Deep Learning Methods

2.1 Introduction

2.2 Material and Method

2.2.1 Material

2.2.2 Method

2.3 Research Findings

2.4 Discussion

2.5 Results

3 Autonomous Parking with Continuous Reinforcement Learning

3.1 Introduction

3.2 Related Works

3.2.1 Deep Q Networks

3.2.2 Deep Deterministic Policy Gradient Algorithm

3.2.3 Twin Delayed Temporal Difference Algorithm

3.2.4 Soft Actor Critic Algorithm

3.2.5 Hindsight Experience Replay Algorithm

3.2.6 Parking Environment Simulation Model

3.3 Experiments and Results

3.4 Conclusions and Future Work

4 Design and Manufacturing of a 3 DOF Robot with Additive Manufacturing Methods

4.1 Introduction

4.2 Material and Method

4.2.1 Material

4.3 Method

4.4 Findings and Discussion

4.5 Conclusion

5 Real-Time Mask Detection Based on Artificial Intelligence Using Renewable Energy System Unmanned Aerial Vehicle

5.1 Introduction

5.2 Related Studies.

5.3 Material and Method

5.3.1 Material

5.3.2 Material and Method

5.4 Research Findings

5.5 Conclusion

6 Investigation of Effect of Wrapping Length on the Flexural Properties of Wooden Material in Reinforcement with Aramid FRP

6.1 Introduction

6.2 Material and Method

6.3 Results

6.4 Conclusions

7 Deep Learning-Based Air Defense System for Unmanned Aerial Vehicles

7.1 Introduction

7.2 Material and Method

7.2.1 Material

7.2.2 Method

7.3 Research Findings

7.3.1 MobileNetV2 Training Results

7.3.2 Xception Training Results

7.3.3 InceptionV3 Training Results

7.4 Results

8 Strategic Framework for ANFIS and BIM Use on Risk Management at Natural Gas Pipeline Project

8.1 Introductıon

8.2 Literature

8.3 Materials and Methods

8.3.1 Artificial Neural Networks (ANN)

8.3.2 Structure of Artificial Neural Network

8.3.3 Fuzzy Inference System

8.3.4 Adaptive Neuro-Fuzzy Inference System-ANFIS

8.3.5 What is the Building Information Modelling (BIM)

8.3.6 Methods

8.4 Results

8.5 Conclusion

9 Predicting Ethereum Price with Machine Learning Algorithms

9.1 Introduction

9.2 Related Works

9.3 Method and Material

9.3.1 Used Methods

9.3.2 Data Collecting

9.3.3 Method

9.4 Discussion and Results

9.5 Conclusions and Future Work

10 Data Mining Approachs for Machine Failures: Real Case Study

10.1 Introductıon

10.2 Literature

10.3 Methods

10.3.1 Re-processing the Data

10.3.2 Methods

10.4 Results

10.5 Conclusion

11 Classification of People Both Wearing Medical Mask and Safety Helmet

11.1 Introduction

11.2 Materials and Methods

11.2.1 Dataset

11.2.2 Method

11.2.3 Single Deep Neural Network

11.2.4 Double Deep Neural Network.

11.3 Conclusions and Future Work

12 Anonymization Methods for Privacy-Preserving Data Publishing

12.1 Introduction

12.2 Big Data Definition

12.3 Data Anonymization

12.3.1 Protection Methods with Anonymization

12.3.2 Anonymization and Protection Models

12.4 Literature Review

12.5 Comparison of Existing Studies

12.6 Conclusion

13 Improving Accuracy of Document Image Classification Through Soft Voting Ensemble

13.1 Introduction

13.2 Related Works

13.3 Methodology

13.3.1 Document Image Classification

13.3.2 Image Pre-processing

13.3.3 Convolutional Neural Network

13.3.4 Soft Voting

13.4 Experiments and Result

13.4.1 Dataset

13.4.2 Evaluation Metrics

13.4.3 Experiments

13.5 Conclusion

14 Improved Performance of Adaptive UKF SLAM with Scaling Parameter

14.1 Introduction

14.2 Adaptive UKF SLAM

14.3 Simulation Results and Discussions

14.4 Conclusion and Suggestions

15 An Adaptive EKF Algorithm with Adaptation of Noise Statistic Based on MLE, EM and ICE

15.1 Introduction

15.2 Methods

15.2.1 Extended Kalman Filter (EKF)

15.2.2 Unscented Kalman Filter (UKF)

15.2.3 Adaptive Extended Kalman Filter (AEKF)

15.2.4 Data Association

15.2.5 AEKF-SLAM Algorithm

15.3 Simulation Results and Discussion

15.4 Conclusions and Future Work

16 Artificial Intelligence Based Detection of Estrus in Animals Using Pedometer Data

16.1 Introduction

16.2 Related Works

16.3 Method and Material

16.3.1 Architectural Design

16.3.2 Devices

16.3.3 Electronic Circuit Design

16.3.4 Proposed Algorithms

16.4 Discussion and Result

16.5 Conclusions and Future Work

17 Enhancing Lexicon Based Sentiment Analysis Using n-gram Approach

17.1 Introduction.

17.2 Sentiment Lexicons

17.2.1 Vader

17.2.2 TextBlob

17.2.3 Afinn

17.2.4 SentiWordNet

17.3 Proposed Framework

17.3.1 Pre-processing Step

17.3.2 N-gram Extraction

17.3.3 Feature Space Construction

17.4 Experimental Results

17.5 Conclusion

18 A Comparison of Word Embedding Models for Turkish

18.1 Introduction

18.2 Data and Data Preprocessing Steps

18.3 Method

18.3.1 Embedding Models

18.3.2 Classification Model

18.4 Experiments

18.5 Conclusion

19 The Unfairness of Collaborative Filtering Algorithms' Bias Towards Blockbuster Items

19.1 Introduction

19.2 Related Works

19.3 Description of Blockbuster Items

19.4 Blockbuster Bias in User Profiles

19.4.1 The Propensities of Users for Blockbuster Items

19.4.2 Profile Size and Blockbuster Bias

19.5 Different User Groups in Terms of Inclination for Blockbuster

19.6 Algorithmic Propagation of Blockbuster Bias

19.6.1 Blockbuster Bias in Recommendations for Different User Groups

19.7 Conclusion and Future Work

20 Improved Gradient-Based Optimizer with Dynamic Fitness Distance Balance for Global Optimization Problems

20.1 Introduction

20.2 Related Works

20.2.1 GBO

20.2.2 Dynamic Fitness-Distance Balance (dFDB)

20.2.3 Improved GBO with Dynamic Fitness Distance Balance

20.3 Experimental Study

20.3.1 Settings

20.3.2 Benchmark Problems

20.3.3 Constrained Engineering Design Problems

20.4 Analyze Results

20.4.1 Statistical Analysis Results

20.4.2 Convergence Analysis Results

20.4.3 Results for Engineering Design Problems

20.5 Conclusions and Future Work

21 TR-SUM: An Automatic Text Summarization Tool for Turkish

21.1 Introduction

21.2 Literature Review

21.2.1 Related Studies in Turkish

21.2.2 Datasets in Turkish.

21.3 TR-SUM: A Text Summarization Tool for Turkish

21.3.1 General Overview of "TR-SUM: A Text Summarization Tool for Turkish"

21.3.2 TR-NEWS-SUM Dataset

21.3.3 Data Pre-processing

21.3.4 The Proposed Neural Network Models for Turkish Text Summarization

21.4 Discussion and Results

21.5 Conclusion and Future Work

22 Automatic and Semi-automatic Bladder Volume Detection in Ultrasound Images

22.1 Introduction

22.2 Related Works

22.3 Method and Material

22.3.1 Data Set

22.3.2 Method

22.4 Discussion and Results

22.5 Conclusions and Future Work

23 Effects of Variable UAV Speed on Optimization of Travelling Salesman Problem with Drone (TSP-D)

23.1 Introduction

23.2 Problem Definition

23.3 Methodology

23.3.1 Truck-Drone Algorithm Approach

23.4 Experimental Studies

23.4.1 Settings

23.4.2 Experimental Studies and Results

23.5 Discussions and Conclusion

24 Improved Phasor Particle Swarm Optimization with Fitness Distance Balance for Optimal Power Flow Problem of Hybrid AC/DC Power Grids

24.1 Introduction

24.2 Mathematical Formulation of Optimal Power Flow Problem of Hybrid AC/DC Power Grids

24.2.1 State and Control Variables

24.2.2 Constraints

24.2.3 Objective Functions

24.3 Method

24.3.1 Fitness-Distance Balance Method

24.3.2 Overview of Phasor Particle Swarm Optimization (PPSO) Algorithm

24.3.3 Proposed FDBPPSO Algorithm

24.4 Experimental Settings

24.5 Results and Analysis

24.5.1 Determining the Best FDBPPSO Variant on CEC 2020 Test Suite

24.5.2 Application of the Proposed FDBPPSO Method for Optimal Power Flow Problem of Hybrid AC/DC Power Grids

24.6 Conclusions

References.

25 Development of an FDB-Based Chimp Optimization Algorithm for Global Optimization and Determination of the Power System Stabilizer Parameters.

Other Format:

Print version: Hemanth, D. Jude Smart Applications with Advanced Machine Learning and Human-Centred Problem Design

ISBN:

3-031-09753-X