machine learning modeling simulation (23 Ergebnisse)

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Buch. Zustand: Neu. Smart Proxy Modeling | Artificial Intelligence and Machine Learning in Numerical Simulation | Shahab D. Mohaghegh | Buch | Einband - fest (Hardcover) | Englisch | 2022 | CRC Press | EAN 9781032151144 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2¿6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.

Taschenbuch. Zustand: Neu. Machine Learning in Modeling and Simulation | Methods and Applications | Timon Rabczuk (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9783031366468 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.

Buch. Zustand: Neu. Neuware -Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Taschenbuch. Zustand: Neu. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications | Selected Contributions from SimStat 2019 and Invited Papers | Jürgen Pilz (u. a.) | Taschenbuch | x | Englisch | 2024 | Springer | EAN 9783031400575 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Intelligent Systems Modeling and Simulation II | Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods | Samsul Ariffin Abdul Karim | Taschenbuch | xxiii | Englisch | 2023 | Springer International Publishing | EAN 9783031040306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

Buch. Zustand: Neu. Neuware -This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2¿6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2-6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2-6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book continues the previous edition: Samsul Ariffin AbdulKarim (2022). Intelligent Systems Modeling and Simulation II: Machine Learning,Neural Networks, Efficient Numerical Algorithm and Statistical Methods, Studiesin Systems, Decision and Control (SSDC, volume 444, 22k Access). After two years, Intelligent Systems Modeling and Simulation have evolved tremendously through the latest and advanced emergence technologies and manyhighly sophisticated algorithms have been developed by blending artificialintelligence (AI) and mathematics, statistics, data modelling and other relatedresearch areas. These blends offer many opportunities and furtherinvestigations into the overlapand equality between these areas. It is awell-known fact that most industries and companies have utilized this IR4.0architecture in various levels of manufacturing and decision processes.Besides, nowadays IR5.0 or Society5.0 has also been embedded into varioussystems in industries as well as in Teaching and Learning (TL). The combinationof IR4.0 and Society 5.0 may result in more impactful outcomes, especially inautomated decision-making and reliable simulations-based modelling.Furthermore, IR4.0 and Society5.0 through Data-Driven have made a significantcontribution to the government and companies to analyse big data via predictiveanalytics. Cyber security firewalls on all systems must be up to date toprevent any malicious attacks by hackers. Otherwise, our citizens might bescammed and according to NBC News, the total loss for 2022 is around USD 8.8billion. These are very huge amount. Just recently, COVID-19 has been spreadingall over the world again. To assist the Ministry of Health (MOH) and othergovernment agencies, it is very crucial to identify, predict, detect andquarantine the COVID-19 on the susceptible persons soonest possible. Intelligent Image Processing techniques are very demanding here. This is toensure that we can control and minimise the spread. Inspire by these latestdevelopments, in this book, various experts in the areas of ArtificialIntelligence, Machine Learning, Deep Learning, Neural Networks, Modeling andSimulation, Cyber Security and Awareness, Intelligent Statistical Methods, BigData Analytics, Sentiment Analytics, Intelligent Function Approximation, ImageProcessing in medical imaging especially on COVID-19, AI in Teaching andLearning, and Computational Intelligence will share their latest studies andexperiences. Their finding is in line with United Nations SustainableDevelopment Goals (SDGs) such as No. 9: Industry, Innovation, andInfrastructure, particularly Target 9.4, 9.5, 9.a, 9.b and 9.c, No. 11:Sustainable Cities and Communities particularly Target 11.b and Indicators11.b.1 and 11.b.2, and SDG No. 4: Quality Education; particularly Target 4.7and Indicator 4.7.1. This book is highly suitable for postgraduate students andresearchers to get the state-of-the-art current research directions as well asfor the scientists that have an interest and working in intelligent numericalmodelling and simulations through AI, Machine Learning, Neural Networks, andits related counterparts.

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