Intelligent Systems (Record no. 185638)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-45389-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130143.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031453892
-- 978-3-031-45389-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-45389-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Intelligent Systems
Medium [electronic resource] :
Remainder of title 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25–29, 2023, Proceedings, Part II /
Statement of responsibility, etc edited by Murilo C. Naldi, Reinaldo A. C. Bianchi.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 433 p. 177 illus., 141 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 14196
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Transformer Model for Fault Detection From Brazilian Pre-Salt Seismic Data -- Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders -- Dog Face Recognition Using Vision Transformer -- Convolutional neural networks for the molecular detection of Covid-19 -- Hierarchical Graph Convolutional Networks for Image Classification -- Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach -- Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis -- Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies -- Dog Face Recognition using Deep Feature Embeddings -- Clinical oncology textual notes analysis using machine learning and deep learning -- EfficientDeepLab For Automated Trachea Segmentation On Medical Images -- Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet -- Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers -- Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence -- Deep Reinforcement Learning for Voltage Control in Power Systems -- Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging -- Occluded Face In-painting Using Generative Adversarial Networks - A Review Classification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms -- Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design -- AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification -- Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset -- Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification -- A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification -- A framework for characterizing what makes an instance hard to classify -- Physicochemical Properties for Promoter Classification -- Critical analysis of AI indicators in terms of weighting and aggregation approaches -- Estimating Code Running Time Complexity with Machine Learning The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.
520 ## - SUMMARY, ETC.
Summary, etc The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Education
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers and Education.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Naldi, Murilo C.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bianchi, Reinaldo A. C.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031453885
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031453908
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 14196
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-45389-2">https://doi.org/10.1007/978-3-031-45389-2</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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