| Description |
1 online resource (xv, 418 pages) : illustrations (chiefly color) |
| Series |
Lecture notes in computer science. Lecture notes in artificial intelligence ; 13788 |
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LNCS sublibrary: SL7 - Artificial intelligence |
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Lecture notes in computer science ; 13788.
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Lecture notes in computer science. Lecture notes in artificial intelligence.
|
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
Intro -- Preface -- Organization -- Contents -- Applications of AI -- Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis -- 1 Introduction -- 2 Proposed Approach: The Covariance Mean as Parkinsonian Descriptor -- 2.1 Temporal Gait Representation and Deep Features -- 2.2 Video Sequences and Riemannian Manifold -- 2.3 Geometric Mean Descriptor on the Riemannian Manifold -- 2.4 Classification and Low-Dimensional Visualization -- 2.5 Experimental Setup -- 3 Evaluation and Results -- 4 Discussion and Conclusions -- References |
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Forroset: A Multipurpose Dataset of Brazilian Forró Music -- 1 Introduction -- 2 Related Forró Datasets -- 3 Forroset Creation -- 3.1 Spotify Data -- 3.2 Preprocessing Data -- 3.3 Vagalume Lyrics -- 3.4 Getting MP3 Files -- 3.5 Ethics of Data Collection -- 3.6 FAIR Principles Implementation -- 4 Data Details -- 4.1 General Information -- 4.2 Spotify Features -- 4.3 Spotify Audio Analysis -- 4.4 Filters and Organization -- 4.5 Lyrics -- 4.6 MP3 Files -- 5 Forroset's Potential Applications -- 5.1 Forró Industry -- 5.2 Dance Teaching -- 5.3 Music Information Retrieval -- 6 Conclusions |
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7 Availability -- References -- Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 MIT-BIH Arrhythmia Database -- 2.2 Preprocessing -- 2.3 ECG Beat Segmentation -- 2.4 Feature Extraction -- 2.5 Classification -- 2.6 Experimental Design -- 3 Results -- 3.1 Discussions -- 4 Conclusions -- References -- Learning Automata Using Dimensional Reduction -- 1 Introduction -- 2 Definitions -- 3 Transcription-Evaluation Framework -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Learning Setup |
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4.3 One-to-One Encoding of Window Contents -- 4.4 Many-to-Int Encoding of Window Contents -- 4.5 Application on MNIST Dataset -- 5 Conclusion -- References -- Modelling Urban Traffic Configuration with the Influence of Human Factors -- 1 Introduction -- 2 Model Formulation Using Queuing Theory -- 3 Experimentation -- 4 Conclusions -- References -- Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent -- 1 Introduction -- 2 State of the Art -- 3 Material and Methods -- 3.1 Data Collection -- 3.2 Data Exploration -- 3.3 Data Preparation |
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3.4 Evaluation Metrics -- 3.5 Isolation Forests -- 3.6 LSTM-Autoencoder -- 4 Experiments -- 5 Results and Discussion -- 6 Conclusions -- References -- Optimal Architecture Discovery for Physics-Informed Neural Networks -- 1 Introduction -- 2 Physics-Informed Neural Networks (PINNs) -- 3 Evolutionary Multi-objective Optimization -- 4 Experiments -- 4.1 Burgers Equation -- 4.2 Wave Equation -- 5 Conclusions -- References -- An AI-Based Approach for Failure Prediction in Transmission Lines Components -- 1 Introduction -- 2 Transmission Lines Components and Common Failures -- 3 Fundamentals |
| Summary |
This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed January 12, 2023) |
| Subject |
Artificial intelligence -- 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 |
Bicharra Garcia, Ana Cristina, editor
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Ferro, Mariza, editor
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Rodríguez Ribón, Julio César, editor.
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| ISBN |
9783031224195 |
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3031224191 |
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