Artificial Intelligence for Knowledge Management, Energy and Sustainability : 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, Krakow, Poland, September 30–October 1, 2023, Revised Selected Papers / edited by Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Abdul Wahid, Karl Mason.

Format:

Book

Author/Creator:

Mercier-Laurent, E. (Eunika)

Contributor:

Kayakutlu, Gülgün.

Owoc, Mieczysław Lech.

Wahid, Abdul.

Mason, Karl.

Series:

IFIP Advances in Information and Communication Technology, 1868-422X ; 693

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Numerical analysis.

Computer engineering.

Application software.

Artificial Intelligence.

Computer Communication Networks.

Numerical Analysis.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Numerical Analysis.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2024.

Place of Publication:

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

Summary:

This volume IFIP AICT 693 constitutes the refereed proceedings of the 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, from September 30th – October 1st, 2023, held in Krakow, Poland. The 15 full papers presented together with 2 short papers were carefully reviewed and selected from 49 submissions. The accepted papers covered a large scope of topics related to sustainability in various contexts such as smart cities, agriculture, energy and gas production and distribution, industry, management and biodiversity. .

Contents:

Intro

Preface

Organization

Contents

Artificial Intelligence, Sustainability and Climate Change

1 Introduction - Sustainability and Climate Change

2 Contribution of AI to Climate Action

2.1 Environmental Impact of Generative AI

3 Conclusion and Future Work

References

In Search for Model-Driven eXplainable Artificial Intelligence

1 Introduction

2 XAI: State-of-the-Art

3 XAI: Critical Evaluation

4 Motivation for Model-Driven XAI

5 A Generic Scenario: Singular Case Analysis

6 A Note on Grammatical Evolution, Ongoing Research and Tools

7 An Experiment with Different Explainability Methods

7.1 Introduction of Meaningful Intermediate Variables

8 Conclusions

An Intelligent Chatbot Based on Hybrid Approach Implementing Technical Knowledge to Support Maintenance and Training Activities at Electricity of France (EDF)

2 An Air-Conditioner in the Electrical Room?

3 Produce New Documentation with Notes and Instructions to Capitalize on Knowledge

4 How Did the Air Conditioner Come About?

5 How Do Discussions Feed the Dialoguer?

6 The Dialoguer and AI

6.1 AI Enables Dialogue

6.2 The Life of the Dialoguer

7 Conclusions

Supporting Food Computing with Ontologies and Artificial Intelligence Methods for Sustainability

2 Combining AI with Food Ontologies for Sustainability

3 Selected Ontological Knowledge Sources

3.1 FoodOn

3.2 Wikidata

3.3 Other Ontologies and Knowledge Graphs

3.4 Comparison of ONS, FoodKG, SPO and FoodOn Ontologies

4 Ontological Reasoning in Food Domain

5 Integrating Existing Knowledge with Machine-Learned Information About Recipes

5.1 Named Entity Recognition from Culinary Recipes

5.2 Linking the Recognized Entities with Knowledge Bases.

5.3 Development of an Integrated Knowledge Graph

5.4 A Graph Knowledge Base for Nutrients and Recipes

6 Conclusions

The Use of Semantic Networks for the Categorization of Prosumers: Expanded Version

2 Identification of the Scope of Publications

3 Method and Research Procedure

4 Research Results

5 Conclusions

Methods for Mitigating Gender Bias in Binary Classification Models - A Comparative Analysis

2 Gender Bias in Machine Learning Models

3 Resampling

4 Fairlearn Overview

5 Comparative Analysis of Methods for Mitigating Gender Bias in Binary Classification Models

5.1 Experiment Overview

5.2 Baseline Model

5.3 Models Based on Resampled Data

5.4 ThresholdOptimizer Models

5.5 Comparative Analysis

5.6 Summary

ChatGPT as a Learning Tool in Business Education. Research on Students' Motivation

2 Research Background

3 Research Methodology and Analysis

4 Future Research Directions and Conclusions

Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey

2 Electric Vehicles

2.1 Overview

2.2 Transport and Climate Change

2.3 Batteries

2.4 Grid

2.5 Challenges

3 Life-Cycle of Electric Vehicles

3.1 Life-Cycle Assessment

3.2 Life Cycle Emissions

4 Artificial Intelligence

4.1 Overview

4.2 Machine Learning

4.3 Reinforcement Learning

4.4 Neural Networks and Deep Learning

4.5 Multi-agent Systems

5 Applications of Artificial Intelligence to Electric Vehicles

5.1 Electric Vehicle Producers

5.2 End Users

5.3 Power System Operators

5.4 Owners of EV Charging Infrastructure

5.5 Policy Makers

5.6 Vehicle-to-Grid Planners

6 Discussion

6.1 Limitations.

6.2 Future Directions

7 Conclusion

Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting

2 Problem Setting

2.1 Multi-task Learning

2.2 Multi-task Sequence-to-Sequence Models

2.3 Task Weighting

2.4 Research Gap

3 Battery Degradation Data

3.1 Data Preprocessing

4 Empirical Setup

4.1 The Encoder-Decoder Multi-task Model

4.2 Exploration Space

4.3 Loss Function and Evaluation Metrics

5 Results

5.1 Comparing Single-Stage with Three-Stage Training

5.2 Analyzing Static Task Weighting

5.3 Comparing Dynamic Task Weighting Algorithms

6 Conclusion

Classification Tree Based AI System for Short Term Prediction for Heat and Power Plants

2 Literature Remarks

3 Method

4 Temperature of Return Water from Heat and Power Plant

5 Demand for Electricity at a Given Area

The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities

2 Hydropower Plant Management

2.1 Constrained Optimisation Approach

2.2 Neural Networks Approach

3 The Proposal

3.1 The Agriculture Conscious Hydropower Plant Management Framework

3.2 Software Regulation

4 Conclusion and Future Work

Usability of Honeybee Algorithms in Practice. Towards Nature-Inspired Sustainable Development

2 Research Background and Methodology

3 Fundamentals of Honeybee Algorithms

4 Chosen Artificial Bee Colony Algorithms in Practice

5 Conclusions and Future Research Directions

Automatic Coral Morphotypes Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring

1 Introduction.

2 Related Works

3 Datasets

4 YOLOv5

5 Results and Analysis

Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach

2 Related Work

2.1 Traditional Methods for Forecasting Air Quality

2.2 AI-Based Models for Forecasting Air Pollutants

2.3 Interpreting Models with XAI - SHAP Approach

2.4 SHAP Applications in Environmental Research

3 Experiments

3.1 Dataset and Experimental Settings

3.2 Constructing and Assessing ML Classification Models

3.3 Evaluating Feature Significance

3.4 SHAP-Based Dimensionality Reduction

4 Ablation Studies

4.1 Hourly Fluctuations of Air Pollutant Levels Across Different Monitoring Stations

4.2 Assessing Critical Factors and Ranking Their Impact on Air Pollution Concentrations

4.3 Assessing the Viability of Supervised Clustering with SHAP Values

5 Conclusion

Crowdsourcing as a Tool for Smart City Within Sustainable Development

2 Materials and Methods

3 Results

4 Discussion

Model of Relationship Between Circular Economy and Industry 5.0

2 Theoretical Background

3 Materials and Methods

4 Model of the CE and Industry 5.0 Relationship

Appendix

Reduction of Carbon Dioxide Emissions of IT Hardware

2.1 Sustainable Development

3 Research Methodology

3.1 Research Tools

3.2 Research Procedure

4 Empirical Results and Discussion

4.1 Results

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Mercier-Laurent, Eunika Artificial Intelligence for Knowledge Management, Energy and Sustainability

ISBN:

9783031610691

OCLC:

1439049150