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Pattern Recognition: 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 2225, 2022, Proceedings 1st ed. 2022 [Pehme köide]

  • Formaat: Paperback / softback, 372 pages, kõrgus x laius: 235x155 mm, kaal: 593 g, 114 Illustrations, color; 37 Illustrations, black and white; XIV, 372 p. 151 illus., 114 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13264
  • Ilmumisaeg: 11-Jun-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031077490
  • ISBN-13: 9783031077494
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  • Formaat: Paperback / softback, 372 pages, kõrgus x laius: 235x155 mm, kaal: 593 g, 114 Illustrations, color; 37 Illustrations, black and white; XIV, 372 p. 151 illus., 114 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13264
  • Ilmumisaeg: 11-Jun-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031077490
  • ISBN-13: 9783031077494
Teised raamatud teemal:
This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juárez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.
Pattern Recognition Techniques.- Hot Spots & Hot Regions Detection using
Classification Algorithms in BMPs Complexes at the Protein-protein Interface
with the Ground-state Energy Feature.- Clustering of Twitter Networks based
on Users Structural Profile.- Changing Model from NGSIM Dataset.- A Robust
Fault Diagnosis Method in Presence of Noise and Missing Information for
Industrial Plants.- A Preliminary Study of SMOTE on Imbalanced Big Datasets
when Dealing with Sparse and Dense High Dimensionality.- A Novel Survival
Analysis-based Approach for Predicting Behavioral Probability of Mining Mixed
Data Bases using Machine Learning Algorithms.- Networks and Deep Learning A
CNN-based Drivers Drowsiness and Distraction Detection System.- 3D
Convolutional Neural Network to Enhance Small-Animal Positron Emission
Tomography Images in the Sinogram Domain.- Learning Dendrite Morphological
Neurons Using Linkage Trees for Pattern Classification.- Deep Variational
Method with Attention for High-Definition Face Generation.- Indoor Air
Pollution Forecasting using Deep Neural Networks.-  Extreme Machine Learning
Architectures based on Correlation.- Image & Signal Processing and Analysis
Evaluating New Set of Acoustical Features for Cry Signal Classification.-
Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency
Bands with a Weighted Nearest Neighbors Approach.- Virtualizing 3D Real
Environments Using 2D Pictures Based on Photogrammetry.- Factorized U-net for
Retinal Vessel Segmentation.- Multi-view Learning for EEG Signal
Classification of Imagined Speech.- Escalante Emotion Recognition using
Time-frequency Distribution and GLCM Features from EEG Signals.- Natural
Language Processing and Recognition Leveraging Multiple Characterizations of
Social Media Users for Depression Detection Using Data Fusion.- A Wide & Deep
Learning Approach for Covid-19 Tweet Classification.- Does this Tweet Report
an Adverse Drug Reaction? An Enhanced BERT-based Method to Identify Drugs
Side Effects in Twitter.- We Will Know Them by Their Style: Fake News
Detection based on Masked n-grams.- Multi-Document Text Summarization based
on Genetic Algorithm and the Relevance of Sentence Features.- ´ Robotics &
Remote Sensing Applications of Pattern Recognition On Labelling Pointclouds
with the Nearest Facet of Triangulated Building Models.- Dust Deposition
Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep
Learning-based Approach.- Detection of Pain Caused By A Thermal Stimulus
Using EEG and Machine Learning.- Data Mining.- Natural Language Processing
and Recognition.- Document Processing and Recognition.- Fuzzy and Hybrid
Techniques in Pattern Recognition.- Image Coding, Processing and Analysis.-
Industrial and Medical Applications of Pattern Recognition.- Bioinformatics.-
Logical Combinatorial Pattern Recognition.- Mathematical Morphology.-
Artificial Intelligence Techniques and Recognition.- Pattern Recognition
Principles.- Robotics& Remote Sensing Applications of Pattern Recognition.-
Shape and Texture Analysis.- Signal Processing and Analysis.