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Author: Khalid Zarbane
Publisher: Springer Nature
ISBN: 3031329279
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
This book contains selected papers from the conference CASICAM'22, presenting the latest advancements and discoveries in Additive Manufacturing (AM) technology. The chapters cover a wide range of topics related to AM, including design for additive manufacturing, functionally graded additive manufacturing (FGAM), new and innovative materials for AM, AM parts/processes modeling and simulation, AM process optimization, monitoring, and qualification, 4D printing, AM post-processing operations, AM product metrology and quality control, AM standards and certification, health, safety, and environment challenges, education, training, and research strategy, and AM applications and challenges.
Author: Khalid Zarbane
Publisher: Springer Nature
ISBN: 3031329279
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
This book contains selected papers from the conference CASICAM'22, presenting the latest advancements and discoveries in Additive Manufacturing (AM) technology. The chapters cover a wide range of topics related to AM, including design for additive manufacturing, functionally graded additive manufacturing (FGAM), new and innovative materials for AM, AM parts/processes modeling and simulation, AM process optimization, monitoring, and qualification, 4D printing, AM post-processing operations, AM product metrology and quality control, AM standards and certification, health, safety, and environment challenges, education, training, and research strategy, and AM applications and challenges.
Author: Kamalpreet Sandhu
Publisher: Springer Nature
ISBN: 3030752356
Category : Technology & Engineering
Languages : en
Pages : 201
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Book Description
With advancement in modern technology human life span in 21st century has significantly improved as compared to past centuries. Indeed, the manufacturing and household wastes have also boosted in the same era, presenting a hazardous condition to the various living beings. However, through smart methodologies, it can be possible to recycle/reuse of the different types of wastes as a feedstock convenient for specialized manufacturing technologies, such as 3D printing. This means that through proper facilities the waste can be used as the raw material for the printing technologies with characteristic at par with the virgin feedstock. Furthermore, producing the feedstock using waste materials will help to reduce the cost of the processing material, productivity and eco-friendliness of this manufacturing technology. This book will cover a boarder aspect of such efforts wherein various applications and state of art solutions will be discussed in a comprehensive way. This book will be much interest for academics, research and entrepreneur who are working in the field materials science, 3D printing, and manufacturing because of its coverage of state of art solution in the field of commercial, industrial and healthcare products.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309102898
Category : Technology & Engineering
Languages : en
Pages : 327
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Book Description
Pollinators-insects, birds, bats, and other animals that carry pollen from the male to the female parts of flowers for plant reproduction-are an essential part of natural and agricultural ecosystems throughout North America. For example, most fruit, vegetable, and seed crops and some crops that provide fiber, drugs, and fuel depend on animals for pollination. This report provides evidence for the decline of some pollinator species in North America, including America's most important managed pollinator, the honey bee, as well as some butterflies, bats, and hummingbirds. For most managed and wild pollinator species, however, population trends have not been assessed because populations have not been monitored over time. In addition, for wild species with demonstrated declines, it is often difficult to determine the causes or consequences of their decline. This report outlines priorities for research and monitoring that are needed to improve information on the status of pollinators and establishes a framework for conservation and restoration of pollinator species and communities.
Author: Leo Breiman
Publisher: Routledge
ISBN: 135146048X
Category : Mathematics
Languages : en
Pages : 370
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Book Description
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Author: Rui Neves-Silva
Publisher: Springer
ISBN: 9783319367668
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This book presents the 57 papers accepted for presentation at the Seventh KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), held in Sorrento, Italy, in June 2015. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.
Author: Barry James Donovan
Publisher: Manaaki Whenua Press
ISBN:
Category : Nature
Languages : en
Pages : 300
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Book Description
In addition to identifying all the species of bees in New Zealand, this revision presents a key, drawings and colour photographs for each species that will allow specimens to be identified.
Author: Arthur Pewsey
Publisher: OUP Oxford
ISBN: 0191650765
Category : Mathematics
Languages : en
Pages : 198
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Book Description
Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its "circular" package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible.
Author: Christophe Ley
Publisher: CRC Press
ISBN: 1351645781
Category : Computers
Languages : en
Pages : 233
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Book Description
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein’s Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics. Thomas Verdebout is professor of mathematical statistics at Université libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.
Author: Chi Sung Laih
Publisher: Springer
ISBN: 3540400613
Category : Computers
Languages : en
Pages : 556
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Book Description
This book constitutes the refereed proceedings of the 9th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2003, held in Taipei, Taiwan in November/December 2003.The 32 revised full papers presented together with one invited paper were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections on public key cryptography, number theory, efficient implementations, key management and protocols, hash functions, group signatures, block cyphers, broadcast and multicast, foundations and complexity theory, and digital signatures.
Author: Lior Rokach
Publisher: World Scientific
ISBN: 9814271071
Category : Computers
Languages : en
Pages : 242
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Book Description
1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction methods -- 2. Introduction to ensemble learning. 2.1. Back to the roots. 2.2. The wisdom of crowds. 2.3. The bagging algorithm. 2.4. The boosting algorithm. 2.5. The AdaBoost algorithm. 2.6. No free lunch theorem and ensemble learning. 2.7. Bias-variance decomposition and ensemble learning. 2.8. Occam's razor and ensemble learning. 2.9. Classifier dependency. 2.10. Ensemble methods for advanced classification tasks -- 3. Ensemble classification. 3.1. Fusions methods. 3.2. Selecting classification. 3.3. Mixture of experts and meta learning -- 4. Ensemble diversity. 4.1. Overview. 4.2. Manipulating the inducer. 4.3. Manipulating the training samples. 4.4. Manipulating the target attribute representation. 4.5. Partitioning the search space. 4.6. Multi-inducers. 4.7. Measuring the diversity -- 5. Ensemble selection. 5.1. Ensemble selection. 5.2. Pre selection of the ensemble size. 5.3. Selection of the ensemble size while training. 5.4. Pruning - post selection of the ensemble size -- 6. Error correcting output codes. 6.1. Code-matrix decomposition of multiclass problems. 6.2. Type I - training an ensemble given a code-matrix. 6.3. Type II - adapting code-matrices to the multiclass problems -- 7. Evaluating ensembles of classifiers. 7.1. Generalization error. 7.2. Computational complexity. 7.3. Interpretability of the resulting ensemble. 7.4. Scalability to large datasets. 7.5. Robustness. 7.6. Stability. 7.7. Flexibility. 7.8. Usability. 7.9. Software availability. 7.10. Which ensemble method should be used?
