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

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 p...

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Bibliographic Details
Corporate Author: International Conference on Artificial Intelligence and Green Computing Beni Mellal, Morocco
Other Authors: Idrissi, Najlae (Editor), Hair, Abdellatif (Editor), Lazaar, Mohamed (Editor), Saadi, Youssef (Editor), Erritali, Mohammed (Editor), El Kafhali, Said (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Series:Lecture notes in networks and systems ; v. 806.
Subjects:
Online Access:Click for online access
Table of 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
  • 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