Artificial Intelligence and Green Computing

Name: Artificial Intelligence and Green Computing | Proceedings of the International Conference on Artificial Intelligence and Green Computing
Brand: Springer
Price: 171.19 EUR
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Proceedings of the International Conference on Artificial Intelligence and Green Computing

Najlae Idrissi Abdellatif Hair Mohamed Lazaar Youssef Saadi Mohammed Erritali Said El Kafhali(Herausgeber*in)

Springer (Verlag)

Erschienen am 3. November 2023

XIII, 304 Seiten

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978-3-031-46584-0 (ISBN)

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Beschreibung

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Inhalt

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
1 Introduction
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
5 Conclusion
References
Pectoral Muscle Segmentation Using Mammogram Images in Medio Lateral Oblique View
1 Introduction
2 Background
3 The Proposed Approach
3.1 Preprocessing
3.2 Segmentation
4 Experiments and Discussion
4.1 Evaluation Metrics
5 Conclusion
References
A Nearest Neighbor-Based Hamiltonian Clustering Algorithm
1 Introduction
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
5 Conclusion
References
An Acoustic Analysis of Voice Before and After Thyroidectomy
1 Introduction
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
1 Introduction
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
References
An Image Compression Approach Based on Convolutional AutoEncoder
1 Introduction
2 State of the Art
3 Methods
3.1 The Proposed Compression Network
3.2 Baseline Network
4 Experiment Results
5 Conclusion
References
Offline Writer Identification Based on Diagonal Gradient Angle of Small Fragments
1 Introduction
2 Methodology
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
References
Enhanced Aircraft Time Delay Prediction Using Weighted Hybrid ML and Dimensionality Reduction
1 Introduction
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
References
Artificial Intelligence for Distributed Computing
Performances Evaluation of LRP Protocol in Wireless Sensor Network
1 Introduction
2 Related Works
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
References
Maximization of Lifetime in Wireless Sensor Networks Using Pattern Search Algorithm
1 Introduction
2 Related Works
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
6 Conclusion
References
Task Deadline-Based Computation Offloading Algorithm for Service Time Minimization in Mobile Edge Computing
1 Introduction
2 Related Works
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
5 Conclusion
References
Detection of Web-Based Attacks using Tree-Based Learning Models: An Evaluation Study
1 Introduction
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
5 Conclusion
References
Energy Minimization in Wireless Sensor Networks Based Bio-Inspired Algorithms
1 Introduction
2 Related Work
3 The Proposed Approach
3.1 PSO-Based Clustering Configuration Phase
3.2 The Routing Phase
4 Results And Discussion
5 Conclusion
References
Heuristic Optimization of the LEACH Routing Protocol in Wireless Sensor Networks
1 Introduction
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
8 Conclusion
References
Artificial Intelligence Applications
Toward Understanding the Impact of Demographic Factors on Cybersecurity Awareness in the Moroccan Context
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion and Future Research
References
Health Data Security in a Big Data Environment
1 Introduction
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
6 Conclusion
References
Handling the ED Problem Using a DTSA in Smart Grids
1 Introduction
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
References
Multivariate Time Series Data Prediction Based on Social Sentiments Community and LSTM Method (S-S-LSTM)
1 Introduction
2 Related Works
2.1 Sentiment Analysis for Vaccination Prediction
2.2 LSTM
3 Methodology
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
References
Improving Wheat Yield Estimating by Using Satellites Data and Machine Learning-Deep Learning Algorithm-In Morocco
1 Introduction
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
4 Conclusion
References
Online Process Mining: A Systematic Literature Review
1 Introduction
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
5 Conclusion
References
Machine Learning with Nighttime Lights to Predict Morocco's Gross Domestic Product
1 Introduction
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
7 Conclusion
References
Author Index

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