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Pattern Recognition: 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings [electronic resource]
서명 / 저자 Pattern Recognition [electronic resource] : 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings / edited by Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López.
저자명 Vergara-Villegas, Osslan Osiris. editor. (orcid)0000-0002-6572-6596 https://orcid.org/0000-0002-6572-6596 edt http://id.loc.gov/vocabulary/relators/edt ; Cruz-Sánchez, Vianey Guadalupe. editor. (orcid)0000-0001-6874-8072 https://orcid.org/0000-0001-6874-8072 edt http://id.loc.gov/vocabulary/relators/edt ; Sossa-Azuela, Juan Humberto. editor. (orcid)0000-0002-0521-4898 https://orcid.org/0000-0002-0521-4898 edt http://id.loc.gov/vocabulary/relators/edt ; Carrasco-Ochoa, Jesús Ariel. editor. (orcid)0000-0002-9982-7758 https://orcid.org/0000-0002-9982-7758 edt http://id.loc.gov/vocabulary/relators/edt ; Martínez-Trinidad, José Francisco. editor. (orcid)0000-0001-7973-9075 https://orcid.org/0000-0001-7973-9075 edt http://id.loc.gov/vocabulary/relators/edt ; Olvera-López, José Arturo. editor. (orcid)0000-0003-0639-1463 https://orcid.org/0000-0003-0639-1463 edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2022.
Online Access https://doi.org/10.1007/978-3-031-07750-0 URL

서지기타정보

서지기타정보
청구기호 Q337.5
판사항 1st ed. 2022.
형태사항 XIV, 372 p. 151 illus., 114 illus. in color. online resource.
총서명 Lecture Notes in Computer Science, 1611-3349 ; 13264
언어 English
내용 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 Driver’s 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.
주제 Pattern recognition systems.
Artificial intelligence.
Computer engineering.
Computer networks .
Automated Pattern Recognition.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Engineering and Networks.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783031077494 Printed edition: 9783031077517
ISBN 9783031077500
기타 표준번호 10.1007/978-3-031-07750-0
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