Computational Analytical Methods for Buildings and Cities

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Author :
Publisher : Mdpi AG
ISBN 13 : 9783036596945
Total Pages : 0 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Computational Analytical Methods for Buildings and Cities by : Michael J Ostwald

Download or read book Computational Analytical Methods for Buildings and Cities written by Michael J Ostwald and published by Mdpi AG. This book was released on 2023-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue presents computational techniques used to examine the social, spatial, and functional characteristics of buildings and cities. Focused on two renowned computational methods in architectural and urban analytics-Shape Grammar and Space Syntax-this reprint demystifies the 'grammar', 'syntax', and 'style' of space and form. These properties are used to understand the fabric of built environments, and their underlying tendencies, social patterns, and potentials. With these articles, this Special Issue serves as a compass for architects, urban planners, researchers, and students navigating architectural and urban designs. Each contribution emphasizes the fundamental principles of design analysis or generation, offering insights into a range of topics, such as historic architecture, spatial genotypes and configurations, agent-based modelling, and urban landmarks. The readers of this volume will improve their understanding of the planning and optimization of built environments, as well as the creation of future cities.

Computational Intelligence Techniques for Green Smart Cities

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Publisher : Springer Nature
ISBN 13 : 3030964299
Total Pages : 418 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Computational Intelligence Techniques for Green Smart Cities by : Mohamed Lahby

Download or read book Computational Intelligence Techniques for Green Smart Cities written by Mohamed Lahby and published by Springer Nature. This book was released on 2022-04-22 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

The Image of the City

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Publisher : MIT Press
ISBN 13 : 9780262620017
Total Pages : 212 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis The Image of the City by : Kevin Lynch

Download or read book The Image of the City written by Kevin Lynch and published by MIT Press. This book was released on 1964-06-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classic work on the evaluation of city form. What does the city's form actually mean to the people who live there? What can the city planner do to make the city's image more vivid and memorable to the city dweller? To answer these questions, Mr. Lynch, supported by studies of Los Angeles, Boston, and Jersey City, formulates a new criterion—imageability—and shows its potential value as a guide for the building and rebuilding of cities. The wide scope of this study leads to an original and vital method for the evaluation of city form. The architect, the planner, and certainly the city dweller will all want to read this book.

Applications and Computational Elements of Industrial Hygiene.

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Publisher : CRC Press
ISBN 13 : 1351466240
Total Pages : 627 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Applications and Computational Elements of Industrial Hygiene. by : Martin B. Stern

Download or read book Applications and Computational Elements of Industrial Hygiene. written by Martin B. Stern and published by CRC Press. This book was released on 2018-04-24 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the only textbook available today that covers all of the critical elements of industrial hygiene ó conceptual information, computational coverage, case studies, and sample problems and exercises ó in one volume. Organized around the basic rubrics of industrial hygiene, this book helps students to think like industrial hygienists while offering the latest techniques for practicing professionals. Applications and Computational Elements of Industrial Hygiene is the most complete reference available on IH, and is also an ideal study aid for exam preparation. This is the first and only textbook that includes all critical computations for each concept covered. Each chapter discusses a different hazard and how to recognize, evaluate, and control it. The advantage of this approach is clear; technical issues, instrumental techniques, engineering control procedures ó relevant issues from A to Z ó are discussed for each hazard. Chapters conclude with case studies that offer critical insight into the practical aspects of the field. The book also covers emerging issues that will affect industrial hygienists in the future. The book includes real-life situations and experiences to demonstrate practical applications of concepts presented in the text. For students, Applications and Computational Elements of Industrial Hygiene offers critical material formerly scattered across multiple sources. For seasoned industrial hygienists, this is an essential problem-solving tool and state-of-the-art reference that consolidates and updates previously scattered information.

Analytical and Computational Methods in Probability Theory

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Publisher : Springer
ISBN 13 : 3319715046
Total Pages : 540 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Analytical and Computational Methods in Probability Theory by : Vladimir V. Rykov

Download or read book Analytical and Computational Methods in Probability Theory written by Vladimir V. Rykov and published by Springer. This book was released on 2017-12-21 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017. The 42 full papers presented were carefully reviewed and selected from 173 submissions. The conference program consisted of four main themes associated with significant contributions made by A.D.Soloviev. These are: Analytical methods in probability theory, Computational methods in probability theory, Asymptotical methods in probability theory, the history of mathematics.

Asymptotic and Computational Analysis

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Publisher : CRC Press
ISBN 13 : 1000111040
Total Pages : 776 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Asymptotic and Computational Analysis by : R. Wong

Download or read book Asymptotic and Computational Analysis written by R. Wong and published by CRC Press. This book was released on 2020-12-17 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at the International Symposium on Asymptotic and Computational Analysis, held June 1989, Winnipeg, Man., sponsored by the Dept. of Applied Mathematics, University of Manitoba and the Canadian Applied Mathematics Society.

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

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Publisher : Elsevier
ISBN 13 : 0443220107
Total Pages : 296 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications by : D. Jude Hemanth

Download or read book Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications written by D. Jude Hemanth and published by Elsevier. This book was released on 2024-01-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology. Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm

Computational Intelligence for Sustainable Transportation and Mobility

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Publisher : Bentham Science Publishers
ISBN 13 : 1681089440
Total Pages : 145 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Computational Intelligence for Sustainable Transportation and Mobility by : Deepak Gupta

Download or read book Computational Intelligence for Sustainable Transportation and Mobility written by Deepak Gupta and published by Bentham Science Publishers. This book was released on 2021-12-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications

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Publisher : Elsevier
ISBN 13 : 0444640436
Total Pages : 537 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications by :

Download or read book Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications written by and published by Elsevier. This book was released on 2018-08-27 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more

Computational Methods for Numerical Analysis with R

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Publisher : CRC Press
ISBN 13 : 1498723640
Total Pages : 257 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Computational Methods for Numerical Analysis with R by : James P Howard, II

Download or read book Computational Methods for Numerical Analysis with R written by James P Howard, II and published by CRC Press. This book was released on 2017-07-12 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.