Computational and Machine Learning Tools for Archaeological Site Modeling, Castiello

Автор: Saifullah Khalid
Название: Applications of Artificial Intelligence in Electrical Engineering
ISBN: 1799827186 ISBN-13(EAN): 9781799827184
Издательство: Mare Nostrum (Eurospan)
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Цена: 283010.00 T
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Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.

Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Автор: Neeraj Mohan
Название: Artificial intelligence, machine learning, and data science technologies :
ISBN: 0367720914 ISBN-13(EAN): 9780367720919
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.

Автор: Azar, Ahmad Taher (Ed.)
Название: Modelling and Control of Dialysis Systems Volume 1: Modeling Techniques of Hemodialysis Systems
ISBN: 3642274579 ISBN-13(EAN): 9783642274572
Издательство: Springer
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Цена: 243800.00 T
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Описание: The book, to the best of the editor’s knowledge, is the first text of its kind that presents both the traditional and the modern aspects of ‘dialysis modeling and control’ in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. The material of this book can be useful to advanced undergraduate and graduate biomedical engineering students. This text provides an important focus on helping students understand how new concepts are related to and rely upon concepts previously presented. Also, researchers and practitioners in the field of dialysis, control systems, soft computing may benefit from it. The material is organized into 32 chapters.This book explains concepts in a clear, matter-of-fact style. In order to make the reader aware of the applied side of the subject, the book includes:       Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract.       Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills.      More than 1000 questions to give the readers a better insight to the subject.       Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world.       Summation and deepening of authors' works in recent years in the fields related. So the readers can get latest information, including latest research surveys and references related to the subjects through this book. It is hoped that through this book the reader will:      Understand the fundamentals of dialysis systems and recognize when it is advantageous to use them.      Gain an understanding of the wide range of dialysis modeling techniques      Be able to use soft computing techniques in dialysis applications.      Gain familiarity with online systems of dialysis and their applications.      Recognize the relationship between conceptual understanding and problem-solving approaches. The editors would like to take this opportunity to thank all the authors for their contributions to this textbook. Without the hard work of our contributors, this book would have not been possible. The encouragement and patience of series Editor, Thomas Ditzinger is very much appreciated. Without his continuous help and assistance during the entire course of this project, the production of the book would have taken a great deal longer.

Автор: Ma Zongmin, Bai Luyi, Yan Li
Название: Modeling Fuzzy Spatiotemporal Data with XML
ISBN: 3030419983 ISBN-13(EAN): 9783030419981
Издательство: Springer
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Цена: 139750.00 T
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Описание: The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating.

Название: Computational and Machine Learning Tools for Archaeological Site Modeling
ISBN: 3030885666 ISBN-13(EAN): 9783030885663
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.

Автор: Bhattacharyya, Siddhartha
Название: Hybrid Computational Intelligent Systems
ISBN: 1032393025 ISBN-13(EAN): 9781032393025
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

Автор: Aboul Ella Hassanien, Ashraf Darwish
Название: Machine Learning and Data Mining in Aerospace Technology
ISBN: 3030202119 ISBN-13(EAN): 9783030202118
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the 'eagle eyes' that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites - which can determine satellites' current status and predict their failure based on telemetry data - is one of the most important current issues in aerospace engineering.

This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.

Автор: Patricia Martin-Rodilla
Название: Digging into Software Knowledge Generation in Cultural Heritage
ISBN: 3319691872 ISBN-13(EAN): 9783319691879
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting.

Автор: Patricia Martin-Rodilla
Название: Digging into Software Knowledge Generation in Cultural Heritage
ISBN: 3319887262 ISBN-13(EAN): 9783319887265
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information— a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure.Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.

Автор: Azar, Ahmad Taher (Ed.)
Название: Modeling and Control of Dialysis Systems Volume 2: Biofeedback Systems and Soft Computing Techniques of Dialysis
ISBN: 3642275575 ISBN-13(EAN): 9783642275579
Издательство: Springer
Рейтинг:
Цена: 243800.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the first text of its kind that presents both the traditional and the modern aspects of dialysis modeling and control in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. It explains concepts in a clear, matter-of-fact style. The material of this book will be useful to advanced undergraduate and graduate biomedical engineering students. Also, researchers and practitioners in the field of dialysis, control systems, soft computing will benefit from it. In order to make the reader aware of the applied side of the subject, the book includes:       Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract.       Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills.      More than 1000 questions to give the readers a better insight to the subject.       Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world.      latest information, including latest research surveys and references related to the subjects