Artificial Intelligence and Green Computing : Proceedings of the International Conference on Artificial Intelligence and Green Computing / edited by Najlae Idrissi, Abdellatif Hair, Mohamed Lazaar, Youssef Saadi, Mohammed Erritali, Said El Kafhali.

Format:

Book

Contributor:

Idrissi, Najlae, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 806

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 (311 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

The main objective of this book is to explore the synergy between cutting-edge AI technologies and environmentally conscious practices through collecting best selected research papers presented at the International Conference on Artificial Intelligence and Green Computing (ICAIGC 2023), which took place from March 15 to 17, 2023, in Beni Mellal, Morocco. Within the pages of this book, readers find a wealth of research findings, survey works, and practical experiences aimed at fostering a comprehensive understanding of the pivotal role AI plays in various fields, including agriculture, health care, IT, and more. It highlights both the opportunities presented by the widespread usage of AI and the challenges associated with its continued advancement. As a result, the book has been divided into three parts: 1)- AI for multimedia processing, 2)- AI for distributed computing, and 3)- AI applications. The book serves as a comprehensive resource that brings together on-goingresearch and practical experiences from the ICAIGC 2023 conference. It strives to deepen the understanding of the essential role AI plays in multiple fields. Whether you are an AI enthusiast, researcher, or practitioner, the insights contained within these pages expand your horizons and inspire further exploration of AI's potential in shaping a greener and more technologically advanced future.

Contents:

Intro

Organization

Preface

Contents

Artificial Intelligence for Multimedia Processing

Low 3D-HEVC Depth Map Intra Modes Selection Complexity Based on Clustering Algorithm and an Efficient Edge Detection

1 Introduction

2 Structure Tensors and AM-PCM Algorithm with the Features Selections

2.1 Structure Tensors

2.2 AM-PCM Algorithm with the Features Selections

3 Proposal Intra-Decision Model

4 Experimental Results

5 Conclusion

References

Longitudinal Study of the Thyroid Surgery Effect Based on Computer Vision

2 Dataset Preparation

2.1 Acquisition

2.2 Determining the Cycles

2.3 Delimitation of Regions of Interest

3 Feature Extraction

3.1 Salient Informations

3.2 Definition of the Descriptors

3.3 Set of Features

4 Statistical Analysis

4.1 Motivation

4.2 Principle of the Univariate ANOVA Test

4.3 Experimental Results of the ANOVA Test

4.4 Multivariate Statistical Test

4.5 Experimental Results with Automatic Segmentation

Pectoral Muscle Segmentation Using Mammogram Images in Medio Lateral Oblique View

2 Background

3 The Proposed Approach

3.1 Preprocessing

3.2 Segmentation

4 Experiments and Discussion

4.1 Evaluation Metrics

A Nearest Neighbor-Based Hamiltonian Clustering Algorithm

2 Related Works

3 Proposed Method

3.1 Computing the Nearest Neighbor Hamiltonian Path

3.2 Finding the Clusters

3.3 Assembling Clusters

4 Experiments and Comparative Results

An Acoustic Analysis of Voice Before and After Thyroidectomy

1.1 Background

2 Methodology

3 Materials

3.1 Features Extraction

4 Results

4.1 Discrimination Abilities

5 Discussion

6 Conclusion.

References

Estimation of Water Turbidity by Image-Based Learning Approaches

2 Database Production

2.1 Sampled Image Acquisition

2.2 Data Preparation

2.3 Producing the Annotated Dataset

3 Conventional Machine Learning Methods

3.1 Motivations

3.2 Textural Features

3.3 Color Features

3.4 Classification

4 Deep Learning Methods

4.1 Proposed Architectures

4.2 Data Augmentation

5 Experimental Results

5.1 Selection of the Best Combination of Handcrafted Features

5.2 Performances of Machine Learning Methods

5.3 Performance of the DL Approaches

5.4 Comparison Between ML and DL Approaches

6 Conclusion

An Image Compression Approach Based on Convolutional AutoEncoder

2 State of the Art

3 Methods

3.1 The Proposed Compression Network

3.2 Baseline Network

4 Experiment Results

Offline Writer Identification Based on Diagonal Gradient Angle of Small Fragments

2.1 Diagonal Gradient Angle Histogram (DGAH)

2.2 Vector of Locally Aggregated Descriptors (VLAD)

3 Experimental Study

3.1 Datasets

3.2 Sensitivity to Fragment Size

3.3 Impact of HDGA Dimension

3.4 Impact of the Number of Fragments

3.5 Comparison with State of Art

4 Conclusion

Enhanced Aircraft Time Delay Prediction Using Weighted Hybrid ML and Dimensionality Reduction

2 Time Flight Delay Predictions

2.1 Data Description

2.2 Feature Selection and Reduction

2.3 Machine Learning Algorithms to Estimate the Time Flight Delays

3 Proposed Work, Result and Discussion

3.1 The Dataset

3.2 Implementation

4 Conclusion and Future Work

Artificial Intelligence for Distributed Computing.

Performances Evaluation of LRP Protocol in Wireless Sensor Network

3 Proactive, Reactive Routing Protocol

4 LOADng Protocol Overview

4.1 LOADng Message Format

4.2 Protocol Operations

5 RPL Protocol Overview

5.1 The DODAG Topology in RPL

6 LRP Protocol Overview

6.1 Collection Tree

6.2 Traffic Distribution

6.3 Tree Maintenance

7 Simulation and Results

7.1 Simulation Parameters

7.2 Performances Assessment

7.3 Results and Discussion

8 Conclusion

Maximization of Lifetime in Wireless Sensor Networks Using Pattern Search Algorithm

3 Modelling and Problem Formulation

4 Solving the Modeled Problem

4.1 Description of Pattern Search Algorithm (PSA)

4.2 Example of Explanation

5 Simulation and Results

Task Deadline-Based Computation Offloading Algorithm for Service Time Minimization in Mobile Edge Computing

3 Proposed Algorithm in MEC System

3.1 Multi-layer Mobile Edge Computing Architecture

3.2 Proposed Selection Algorithm

3.3 Reference Solutions

4 Performance Evaluation

4.1 Simulation Environment

4.2 Experimental Setup

4.3 Simulation Results

Detection of Web-Based Attacks using Tree-Based Learning Models: An Evaluation Study

2 Related Work

3 Methodology

3.1 Benchmark Dataset

3.2 Proposed Web Attack Detection Approach

3.3 Evaluation Metrics

3.4 Experiment Environment

4 Results and Discussions

Energy Minimization in Wireless Sensor Networks Based Bio-Inspired Algorithms

3.1 PSO-Based Clustering Configuration Phase

3.2 The Routing Phase.

4 Results And Discussion

Heuristic Optimization of the LEACH Routing Protocol in Wireless Sensor Networks

2 Overview of Leach Protocol and Its Modifications

2.1 Leach

2.2 LE ACH-B (Balanced Low Energy Adaptive Clustering Hierarchy)

2.3 I- LEACH (Improved Low Energy Adaptive Clustering Hierarchy)

3 Radio Model

4 Euristic Optimization of the Leach Routing Protocol

5 Heuristic Function

6 Performance Evaluation of Fonctions Heuristics Proposed

7 Comparison of Our Approach with Other Clustering Protocols

Artificial Intelligence Applications

Toward Understanding the Impact of Demographic Factors on Cybersecurity Awareness in the Moroccan Context

4 Results and Discussion

5 Conclusion and Future Research

Health Data Security in a Big Data Environment

2 Health Information System

2.1 Health Data

2.2 Health Information Systems

3 Big Data Technology

3.1 Definition

3.2 The Characteristics of Big Data

3.3 Apache Hadoop

3.4 HDFS

4 Data Security

4.1 Definition

4.2 Security of Health Data

5 Health Data Security in a Big Data Environment

5.1 Hadoop for Health

5.2 Hadoop Vulnerability

5.3 The Proposed Solution

Handling the ED Problem Using a DTSA in Smart Grids

2 Smart Grids Overview

2.1 Smart Grids Definition

2.2 Smart Grids Operation

2.3 The Advantages and Limits of Smart Grid

3 Mathematical Modeling of the Smart Grid Economic Dispatch

3.1 Economic Dispatch

3.2 Model Formulation

3.3 Optimization Constraints for ED Problems

4 The Application of DTSA to the Economic Dispatch Problem

4.1 Recent Tabu Search Algorithm.

5 Distributed Tabu Search Algorithm

5.1 Case Study

6 Discussion and Results

7 Conclusion

Multivariate Time Series Data Prediction Based on Social Sentiments Community and LSTM Method (S-S-LSTM)

2.1 Sentiment Analysis for Vaccination Prediction

2.2 LSTM

4 Experiments

4.1 Datasets Used

4.2 Implementation of the Method S-S-LSTM

4.3 Detection of Topic-Based Communities

4.4 Sentiment Classification and Measurement

4.5 Implementation of Forecasting Model

5 Conclusions and Future Work

Improving Wheat Yield Estimating by Using Satellites Data and Machine Learning-Deep Learning Algorithm-In Morocco

2 Data and Methods

2.1 Study Area

2.2 Ground Data and Remote Sensing Data

2.3 Methodology

3 Result

3.1 Importance of Predictor Variables in Yield Estimation

3.2 Model Comparisons on Yield Predictions at a Field Level

Online Process Mining: A Systematic Literature Review

2 Online Process Mining: An Overview

3 Research Design and Methodology

4 Research Results and Discussion

4.1 Covered Techniques

4.2 Online Process Discovery

4.3 Online Conformance Checking

4.4 Online Concept Drift Detection

4.5 Online Anomaly Detection

4.6 Process Predictive Analytics

Machine Learning with Nighttime Lights to Predict Morocco's Gross Domestic Product

2 Literature Review

3 Materials and Methods

3.1 Data

3.2 Predictions Models

4 Evaluation Metrics

4.1 Mean Absolute Error

4.2 Root Mean Squared Error

4.3 R2 Error

5 Results

6 Discussion

Author Index.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Idrissi, Najlae Artificial Intelligence and Green Computing

ISBN:

9783031465840

3031465849