| Description |
1 online resource (xiii, 304 pages) : illustrations (some color) |
| Series |
Lecture notes in networks and systems, 2367-3389 ; 806 |
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Lecture notes in networks and systems ; v. 806. 2367-3389
|
| 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 |
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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 |
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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 |
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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 |
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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 |
| 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-going research 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 |
| Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed November 9, 2023) |
| Subject |
Artificial intelligence -- Congresses
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Computer science -- Environmental aspects -- Congresses
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Artificial intelligence
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Idrissi, Najlae, editor.
|
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Hair, Abdellatif, editor.
|
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Lazaar, Mohamed, editor.
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Saadi, Youssef, editor.
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Erritali, Mohammed, editor.
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El Kafhali, Said, editor.
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| ISBN |
9783031465840 |
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3031465849 |
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