Advances in computational intelligence 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13-18, 2023, proceedings. Part I /

The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023. The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submi...

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Corporate Authors: Mexican International Conference on Artificial Intelligence Yucatán, Mexico)
Other Authors: Mexican International Conference on Artificial Intelligence, Calvo, Hiram,, Martínez-Villaseñor, María de Lourdes,, Ponce, Hiram,, SpringerLink (Online Service)
Format: eBook
Language: English
Published: Cham : Springer, [2024]
Physical Description: 1 online resource (xix, 349 pages) : illustrations (chiefly color).
Series: Lecture notes in computer science ; 14391.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. Artificial intelligence.
Subjects:
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245 1 0 |a Advances in computational intelligence :  |b 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13-18, 2023, proceedings.  |n Part I /  |c Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram Ponce, editors. 
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490 1 |a Lecture notes in computer science. Lecture notes in artificial intelligence,  |x 2945-9141 ;  |v 14391. 
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520 |a The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023. The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions. The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: {u2013} Machine Learning {u2013} Computer Vision and Image Processing {u2013} Intelligent Systems The second volume, Advances in Soft Computing, contains 25 papers structured into three sections: {u2013} Natural Language Processing {u2013} Bioinformatics and Medical Applications {u2013} Robotics and Applications. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed November 14, 2023). 
505 0 |a Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Machine Learning -- Stock Market Performance Analytics Using XGBoost -- 1 Introduction -- 2 Related Work -- 3 Methodology and Development -- 3.1 Dataset Description -- 3.2 Data Preparation -- 3.3 Using XGBoost for Stock Trend and Prices Prediction -- 3.4 Moving Average -- 4 Results and Discussion -- 4.1 Correlation of Stock -- 4.2 XGBoost Regressor -- 4.3 MACD -- 5 Conclusion -- References -- 1D Quantum Convolutional Neural Network for Time Series Forecasting and Classification -- 1 Introduction -- 2 Preliminaries. 
505 8 |a 2.1 Quantum Computation -- 2.2 Quantum Circuits -- 2.3 Variational Quantum Circuits -- 3 1D Quantum Convolution -- 4 Results and Discussion -- 4.1 Time Series Forecasting -- 4.2 Time Series Classification Using PTB Dataset -- 5 Conclusions -- References -- Hand Gesture Recognition Applied to the Interaction with Video Games -- 1 Introduction -- 2 Methodology -- 2.1 Hand Gesture Recognition -- 2.2 Video Game Application -- 3 Results -- 4 Conclusions and Future Work -- References -- Multiresolution Controller Based on Window Function Networks for a Quanser Helicopter -- 1 Introduction. 
505 8 |a 2 Application of the Control Scheme to the Helicopter Model -- 2.1 Dynamic Identification -- 2.2 Proportional Multi-resolution Controller -- 2.3 Autotune of the Gains -- 3 Results -- 3.1 Open-Loop Simulation Results: Identification Process -- 3.2 Closed-Loop Simulation Results -- 3.3 Comparative Between PMR and PID Controllers -- 4 Conclusions and Future Work -- References -- Semi-supervised Learning of Non-stationary Acoustic Signals Using Time-Frequency Energy Maps -- 1 Introduction -- 2 Methods -- 2.1 STFT Maps -- 2.2 Dimensionality Reduction Using PCA -- 2.3 Background Subtraction. 
505 8 |a 3 Description of Proposed Method -- 4 Acoustic Non-stationary Signals -- 4.1 Signals Acquisition -- 5 Classifier Results -- 5.1 Training and Classification -- 6 Conclusion -- References -- Predict Email Success Based on Text Content -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Description of the Dataset -- 3.2 Building and Training the Model -- 3.3 Model Evaluation -- 4 Results and Discussion -- 5 Conclusions -- References -- Neural Drone Racer Mentored by Classical Controllers -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Neural Pilot. 
505 8 |a 3.2 Proportional-Integral Controller -- 3.3 Model Predictive Controller -- 3.4 Active Disturbance Rejection Control -- 3.5 Training Process -- 4 Experimental Framework -- 5 Conclusions -- References -- Eye Control and Motion with Deep Reinforcement Learning: In Virtual and Physical Environments -- 1 Introduction -- 2 Proposed Solution -- 2.1 Deep Reinforcement Learning and the NN's Structure -- 2.2 Optimising the Learning Process -- 3 The Experiment -- 3.1 Optimizing Training with Image Detection -- 3.2 Testing with a Real Camera -- 3.3 Performance Metrics -- 4 Training Results and Discussion. 
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700 1 |a Calvo, Hiram,  |e editor. 
700 1 |a Martínez-Villaseñor, María de Lourdes,  |e editor. 
700 1 |a Ponce, Hiram,  |e editor. 
710 2 |a SpringerLink (Online Service) 
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