Machine learning applications in civil engineering / Kundan Meshram (2024)

Public ISBD Titre : Machine learning applications in civil engineering Type de document : document électronique Auteurs : Kundan Meshram, Auteur Editeur : Amsterdam : Elsevier Année de publication : 2024 Collection : Woodhead publishing series in civil and structural engineering Importance : 1 fichier PDF Présentation : ill. ISBN/ISSN/EAN : 978-0-443-15363-1 Note générale : Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Bibliogr..- Index Langues : Anglais (eng) Mots-clés : Civil engineering Machine learning Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. - Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications - Reviews different lacunas and challenges in current models used for Civil Engineering scenarios - Explores designs for customized components for optimum system deployment - Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency Note de contenu : Summary : 1. Introduction to machine learning for civil engineering 2. Basic machine learning for data pre-processing 3. Use of machine learning models for data representation 4. Introduction to classification models for civil engineering applications 5. Classification models for practical deployment in different civil engineering applications ... Machine learning applications in civil engineering [document électronique] / Kundan Meshram, Auteur . - Amsterdam : Elsevier, 2024 . - 1 fichier PDF : ill.. - (Woodhead publishing series in civil and structural engineering) . ISBN : 978-0-443-15363-1 Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Bibliogr..- Index Langues : Anglais (eng) Mots-clés : Civil engineering Machine learning Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. - Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications - Reviews different lacunas and challenges in current models used for Civil Engineering scenarios - Explores designs for customized components for optimum system deployment - Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency Note de contenu : Summary : 1. Introduction to machine learning for civil engineering 2. Basic machine learning for data pre-processing 3. Use of machine learning models for data representation 4. Introduction to classification models for civil engineering applications 5. Classification models for practical deployment in different civil engineering applications ...

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
E00367	004.89 MES	Ressources électroniques	Bibliothèque Centrale	Génie Civil	Disponible	Téléchargeable