New Advances in Soft Computing in Civil Engineering (Registro nro. 275960)

MARC details
000 -LIDER
fixed length control field 06167nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-031-65976-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250516160117.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240807s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031659768
-- 978-3-031-65976-8
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1-2040
072 #7 - SUBJECT CATEGORY CODE
Subject category code TN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC009020
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 624
Edition number 23
245 10 - TITLE STATEMENT
Title New Advances in Soft Computing in Civil Engineering
Medium [electronic resource] :
Remainder of title AI-Based Optimization and Prediction /
Statement of responsibility, etc. edited by Gebrail Bekdaş, Sinan Melih Nigdeli.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent IX, 421 p. 158 illus., 122 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Studies in Systems, Decision and Control,
International Standard Serial Number 2198-4190 ;
Volume/sequential designation 547
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Data Analysis and Machine Learning Applications in Civil Engineering -- Application of Artificial Intelligence (AI) in Civil Engineering -- Machine Learning Applications in Structural Engineering -- A Multi Objective Optimal Design Process for Determination of Link Capacity Expansions -- IoT with Deep Learning in Pipeline Risk Estimation Using Smart Cities Development -- Forecasting of Lake Level by Soft Computing Approaches -- Structural health monitoring using artificial intelligence Challenges, advances and applications -- Optimizing Tuned Mass Damper by Examining Displacement Ratios with and without TMD System -- Evaluation of Predictive Models for Mechanical Properties of Earth Based Composites for Sustainable Building Applications -- Shear Wall Cost Optimization by Employing Harmony Search -- Effect of CatBoost Parameters on Cost Minimiza-tion of Rectangular Section Reinforced Concrete Co lumns Under Uniaxial Bending Effect -- Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP Reinforced Concrete Elements: A Comprehensive Review -- A modified Jaya algorithm for optimum design of carbon fiber reinforced polymers -- Prediction of bi-linear strength envelope of unsaturated brazilian soils using machine learning techniques -- Assessment of Unconfined Compressive Strength of Stabilized Soil using Artificial Intelligence Tools A Scientometrics Review -- A Review of Deformations Prediction for Oil and Gas Pipelines using Machine and Deep Learning -- Determination of the Effect of XGBoost's Parameters on a Structural Problem -- Area Optimization of Bending Members with Different Shapes in terms of Pure Bending -- A simplified flower pollination algorithm for structural optimization of trusses -- Investigation of the effect of initial parameters on the performance of metaheuristic algorithms on a structural engineering problem -- Geospatial Multi Criteria Decision Framework for Sanitary Landfill Site Selection in New Delhi, India -- Comparing Classification Algorithms for Predicting Spatial Land Cover via Landscape Indices in Nashik, India.
520 ## - SUMMARY, ETC.
Summary, etc. Soft computing applications plays a crucial role in civil engineering applications, with engineers striving to create outstanding designs that prioritize safety, aesthetics, cost-efficiency, and environmental considerations. Advanced optimization techniques are especially valuable for complex systems including multi-constraint problems, multi-objective problems and control problems needing iterative processes in solving differential equations. Throughout history, people have used their creativity to enhance designs in everyday tasks, and this is where metaheuristics come into play, drawing inspiration from nature to develop novel algorithms. These artificial intelligence-based algorithms possess distinctive attributes, and leveraging various features from different algorithms can enhance the effectiveness of optimization, improving precision, computational efficiency, and convergence. This book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optimization processes. The book's chapters cover a wide range of civil engineering applications, with the primary goal being to introduce fundamental concepts and advanced adaptations. This comprehensive resource is designed to provide undergraduates and graduate engineering students with a solid understanding of materials and content, making it a valuable reference for university courses in various civil engineering disciplines. The book will be edited, and the editors will contribute to most of the chapters. Depending on the availability of high-quality papers, the editors may increase their contributions by sharing recent research projects and postgraduate students' theses.
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Owner UABC ;
Method of acquisition Perpetuidad
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Civil engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Civil Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial Intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bekdaş, Gebrail.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nigdeli, Sinan Melih.
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
Relationship information Printed edition:
International Standard Book Number 9783031659751
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031659775
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031659782
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Systems, Decision and Control,
-- 2198-4190 ;
Volume number/sequential designation 547
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Libro electrónico
Uniform Resource Identifier http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-65976-8
912 ## -
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912 ## -
-- ZDB-2-SXE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Date last seen Número de copia Tipo de material
  Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica 16/05/2025   16/05/2025 1 Libro Electrónico

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