Fuzzy Art Machines
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Fuzzy Art Machines
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Author : Melanie Hibbert
language : en
Publisher: Fuzzy Art
Release Date : 2023-03
Fuzzy Art Machines written by Melanie Hibbert and has been published by Fuzzy Art this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03 with categories.
Analyzing Art Culture And Design In The Digital Age
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Author : Mura, Gianluca
language : en
Publisher: IGI Global
Release Date : 2015-09-23
Analyzing Art Culture And Design In The Digital Age written by Mura, Gianluca and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-23 with Art categories.
Technological advancements have influenced many fields of study, and the visual arts are no exception. With the development of new creative software and computer programs, artists and designers are free to create in a digital context, equipped with precision and efficiency. Analyzing Art, Culture, and Design in the Digital Age brings together a collection of chapters on the digital tools and processes impacting the fields of art and design, as well as related cultural experiences in the digital sphere. Including the latest scholarly research on the application of technology to the study, implementation, and culture of creative practice, this publication is an essential reference source for researchers, academicians, and professionals interested in the influence of technology on art, design, and culture. This publication features timely, research-based chapters discussing the connections between art and technology including, but not limited to, virtual art and design, the metaverse, 3D creative design environments, cultural communication, and creative social processes.
Analysis Design And Evaluation Of Man Machine Systems 1995
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Author : T.B. Sheridan
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Analysis Design And Evaluation Of Man Machine Systems 1995 written by T.B. Sheridan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
The series of IFAC Symposia on Analysis, Design and Evaluation of Man-Machine Systems provides the ideal forum for leading researchers and practitioners who work in the field to discuss and evaluate the latest research and developments. This publication contains the papers presented at the 6th IFAC Symposium in the series which was held in Cambridge, Massachusetts, USA.
Computational Intelligence In Manufacturing Handbook
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Author : Jun Wang
language : en
Publisher: CRC Press
Release Date : 2000-12-27
Computational Intelligence In Manufacturing Handbook written by Jun Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-27 with Technology & Engineering categories.
Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational intelligence in design and manufacturing. Computational Intelligence in Manufacturing Handbook fills this void as it covers the most recent advances in this area and state-of-the-art applicati
Machine Learning In Intrusion Detection
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Author : Yihua Liao
language : en
Publisher:
Release Date : 2005
Machine Learning In Intrusion Detection written by Yihua Liao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Detection of anomalies in data is one of the fundamental machine learning tasks. Anomaly detection provides the core technology for a broad spectrum of security-centric applications. In this dissertation, we examine various aspects of anomaly based intrusion detection in computer security. First, we present a new approach to learn program behavior for intrusion detection. Text categorization techniques are adopted to convert each process to a vector and calculate the similarity between two program activities. Then the k-nearest neighbor classifier is employed to classify program behavior as normal or intrusive. We demonstrate that our approach is able to effectively detect intrusive program behavior while a low false positive rate is achieved. Second, we describe an adaptive anomaly detection framework that is de- signed to handle concept drift and online learning for dynamic, changing environments. Through the use of unsupervised evolving connectionist systems, normal behavior changes are efficiently accommodated while anomalous activities can still be recognized. We demonstrate the performance of our adaptive anomaly detection systems and show that the false positive rate can be significantly reduced.
Group Technology And Cellular Manufacturing
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Author : Nallan C. Suresh
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Group Technology And Cellular Manufacturing written by Nallan C. Suresh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Group Technology and Cellular Manufacturing (GT/CM) have been widely-researched areas in the past 15 years and much progress has been made in all branches of GT/CM. Resulting from this research activity has been a proliferation of techniques for part-machine grouping, engineering data bases, expert system-based design methods for identifying part families, new analytical and simulation tools for evaluating performance of cells, new types of cell incorporating robotics and flexible automation, team-based approaches for organizing the work force and much more; however, the field lacks a careful compilation of this research and its outcomes. The editors of this book have commissioned leading researchers and implementers to prepare specific treatments of topics for their special areas of expertise in this broad-based philosophy of manufacturing. The editors have sought to be global both in coverage of topic matters and contributors. Group Technology and Cellular Manufacturing addresses the needs and interests of three groups of individuals in the manufacturing field: academic researchers, industry practitioners, and students. (1) The book provides an up-to-date perspective, incorporating the advances made in GT/CM during the past 15 years. As a natural extension to this research, it synthesizes the latest industry practices and outcomes to guide research to greater real-world relevance. (2) The book makes clear the foundations of GT/CM from the core elements of new developments which are aimed at reducing developmental and manufacturing lead times, costs, and at improving business quality and performance. (3) Finally, the book can be used as a textbook for graduate students in engineering and management for studying the field of Group Technology and Cellular Manufacturing.
Autonomic And Trusted Computing
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Author : Bing Xie
language : en
Publisher: Springer
Release Date : 2010-10-31
Autonomic And Trusted Computing written by Bing Xie and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.
Computing systems including hardware, software, communication, and networks are becoming increasingly large and heterogeneous. In short, they have become - creasingly complex. Such complexity is getting even more critical with the ubiquitous permeation of embedded devices and other pervasive systems. To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on self-manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-* properties to the maximum extent possible without human intervention or guidance. Organic computing (OC) additionally addresses adaptability, robustness, and c- trolled emergence as well as nature-inspired concepts for self-organization. Any autonomic or organic system must be trustworthy to avoid the risk of losing control and retain confidence that the system will not fail. Trust and/or distrust relationships in the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems, and services. Trusted/ trustworthy computing (TC) aims at making computing and communication systems––as well as services––available, predictable, traceable, controllable, asse- able, sustainable, dependable, persistent, security/privacy protectable, etc. A series of grand challenges exists to achieve practical autonomic or organic s- tems with truly trustworthy services. Started in 2005, ATC conferences have been held at Nagasaki (Japan), Vienna (Austria), Three Gorges (China), Hong Kong (China), Oslo (Norway) and Brisbane (Australia). The 2010 proceedings contain the papers presented at the 7th International Conference on Autonomic and Trusted Computing (ATC 2010), held in Xi’an, China, October 26–29, 2010.
Machine Learning For Time Series With Python
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-29
Machine Learning For Time Series With Python written by Ben Auffarth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Computers categories.
Get better insights from time-series data and become proficient in model performance analysis Key FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems. Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering. This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You'll also have a look at real-world case studies covering weather, traffic, biking, and stock market data. By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series. What you will learnUnderstand the main classes of time series and learn how to detect outliers and patternsChoose the right method to solve time-series problemsCharacterize seasonal and correlation patterns through autocorrelation and statistical techniquesGet to grips with time-series data visualizationUnderstand classical time-series models like ARMA and ARIMAImplement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning modelsBecome familiar with many libraries like Prophet, XGboost, and TensorFlowWho this book is for This book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.
Computational Methods For Optimizing Manufacturing Technology Models And Techniques
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Author : Davim, J. Paulo
language : en
Publisher: IGI Global
Release Date : 2012-02-29
Computational Methods For Optimizing Manufacturing Technology Models And Techniques written by Davim, J. Paulo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-29 with Technology & Engineering categories.
"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
Cell Formation In Industrial Engineering
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Author : Boris Goldengorin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-23
Cell Formation In Industrial Engineering written by Boris Goldengorin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Computers categories.
This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics.