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Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Número de Páginas: 706

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. - Covers contemporary developments relating to the analysis and learning of images, shapes and forms - Presents mathematical models and quick computational techniques relating to the topic - Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods

Activities for Individual Learning Through Shape and Colour

Autor: Wendy Bowkett

Número de Páginas: 230

Over 70 highly practical activities looking at the themes of shape and colour for early years practitioners to use with little or no preparation.

Resources in Education

Número de Páginas: 1048

Everyday Mathematics Teacher Lession Guide Volume 1 Grade 5

Autor: University Of Chicago. School Mathematics Project

Número de Páginas: 570

The Teacher's Lesson Guide provides easy-to-follow lessons organized by instructional unit, as well as built-in mathematical content support. Lessons include planning and assessment tips and multilevel differentiation strategies for all learners. This English/Spanish Edition provides dual language support.

Learning Mathematics and Logo

Autor: Celia Hoyles , Richard Noss

Número de Páginas: 522

These original essays summarize a decade of fruitful research and curriculum development using the LISP-derived language Logo. They discuss a range of issues in the areas of curriculum, learning, and mathematics, illustrating the ways in which Logo continues to provide a rich learning environment, one that allows pupil autonomy within challenging mathematical settings.Essays in the first section discuss the link between Logo and the school mathematics curriculum, focusing on the ways in which pupils' Logo activities relate to and are influenced by the ideas they encounter in the context of school algebra and geometry. In the second section the contributions take up pedagogical styles and strategies. They tackle such cognitive and metacognitive questions as, What range of learning styles can the Logo setting accommodate? How can teachers make sense of pupils' preferred strategies? And how can teachers help students to reflect on the strategies they are using? Returning to the mathematical structures, essays in the third section consider a variety of mathematical ideas, drawing connections between mathematics and computing and showing the ways in which constructing Logo programs...

Arnold Render Engine Basics Training Book for HOUDINI

Autor: Serdar Hakan DÜzgÖren

Número de Páginas: 1269

Arnold Arnold is an advanced cross-platform rendering library, or API, used by a number of prominent organizations in film, television, and animation, including Sony Pictures Imageworks. It was developed as a photo-realistic, physically-based ray tracing alternative to traditional scanline based rendering software for CG animation. Arnold uses cutting-edge algorithms that make the most effective use of your computer’s hardware resources: memory, disk space, multiple processor cores, and SIMD/SSE units. The Arnold architecture was designed to easily adapt to existing pipelines. It is built on top of a pluggable node system; users can extend and customize the system by writing new shaders, cameras, filters, and output driver nodes, as well as procedural geometry, custom ray types and user-defined geometric data. The primary goal of the Arnold architecture is to provide a complete solution as a primary renderer for animation and visual effects. However, Arnold can also be used as: A ray server for traditional scanline renderers. A tool for baking/procedural generation of lighting data (lightmaps for videogames). An interactive rendering and relighting tool. Why is Arnold different? ...

Machine Learning for Audio, Image and Video Analysis

Autor: Francesco Camastra , Alessandro Vinciarelli

Número de Páginas: 564

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine...

Learning Mathematics in the Context of 3D Printing

Autor: Frederik Dilling , Felicitas Pielsticker , Ingo Witzke

Número de Páginas: 322

The volume presents a collection of articles on the use of 3D printing technology in mathematics education and in mathematics teacher training. It contains both basic research-oriented contributions as well as reflected descriptions of concrete developments for teaching. The authors of this compilation share a positive attitude towards the possibilities that the use of 3D printing technology (understood as an interplay of software and hardware) can unfold for mathematics education, but critically evaluate from a mathematics education research perspective when, where and how an application can enable an added value for the learning of a mathematical content.

Mathematical Methodologies in Pattern Recognition and Machine Learning

Autor: Pedro Latorre Carmona , J. Salvador Sánchez , Ana L.n. Fred

Número de Páginas: 200

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.

Mathematical Education

Número de Páginas: 348

Routledge Library Editions: Education Mini-Set B: Curriculum Theory 15 vol set

Autor: Various

Número de Páginas: 3253

Mini-set B: Curriculum Theory re-issues 15 volumes originally published between 1973 and 1993 and covers curriculum theory, changes in curricula and the politics and sociology of the school curriculum.

Advances in Machine Learning and Data Mining for Astronomy

Autor: Michael J. Way , Jeffrey D. Scargle , Kamal M. Ali , Ashok N. Srivastava

Número de Páginas: 720

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

Intelligent Data Engineering and Automated Learning

Autor: Jiming Liu , Yiuming Cheung , Hujun Yin

Número de Páginas: 1161

This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Proceedings Of The 14th International Congress On Mathematical Education (In 2 Volumes)

Autor: Jianpan Wang

Número de Páginas: 1609

The International Congress on Mathematical Education (ICME) is the largest international conference on mathematics education in the world. This quadrennial event is organized under the auspices of the International Commission on Mathematical Instruction (ICMI). This book, the Proceedings of ICME-14, presents the latest trends in mathematics education research and mathematics teaching practices at all levels. Each chapter covers an extensive range of topics in mathematics education.Volume I consists of 4 Plenary Lectures, 3 Plenary Panels, 5 Lectures of Awardees, 4 Survey Teams, 62 Topic Study Groups, 13 Discussion Groups, 20 Workshops, a Thematic Afternoon, and an Early Career Researcher Day. Plenary Lectures recognize substantial and continuing contributions to the growth of the field of Mathematics Education. Plenary Panels address three major challenges currently facing mathematics educators across the globe. The Survey Teams have a particular emphasis on identifying and characterizing important new knowledge, recent developments, new perspectives, and emergent issues. The Topic Study Groups provides a coverage of important topics in mathematics education.Volume II consists of...

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Autor: Linwei Wang , Qi Dou , P. Thomas Fletcher , Stefanie Speidel , Shuo Li

Número de Páginas: 802

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation;...

Bsstet Bihar Special School Teacher Eligibility Test Paper-1 Class 1-5 Primary Teacher 15 Practice Sets

Autor: Prabhat Prakashan

Número de Páginas: 198

The English Edition of the book “PRIMARY TEACHERS” – paper I – Class I-V for Bihar Special School Teacher Eligibility Test which will be conducted by Bihar School Examination Board is designed for the candidates who are going to appear in the exam and is based on latest syllabus and exam pattern.Prepare for BSSTET Bihar Special School Teacher Eligibility Test Paper-1 Class 1-5 Primary Teacher with 15 Practice Sets by Team Prabhat Equip yourself for success in the BSSTET Bihar Special School Teacher Eligibility Test for Paper-1 (Class 1-5) with Team Prabhat's comprehensive practice sets. This essential resource is crafted to help aspiring primary teachers master key concepts, understand the exam pattern, and build confidence for a successful performance in the upcoming test. Effective Preparation for Primary Teachers Team Prabhat's 'BSSTET Bihar Special School Teacher Eligibility Test Paper-1 Class 1-5 Primary Teacher 15 Practice Sets' offers targeted practice questions, detailed solutions, and valuable insights to ensure candidates are well-prepared for the exam. Covering essential topics and following the latest exam format, this guide is a vital tool for enhancing your...

Entertainment for Education. Digital Techniques and Systems

Autor: Xiaopeng Zhang , Shaochun Zhong , Zhigeng Pan , Ruwei Yun

Número de Páginas: 651

With the technical advancement of digital media and the medium of communication in recent years, there is a widespread interest in digital entertainment. An emerging te- nical research area edutainment, or educational entertainment, has been accepted as education using digital entertainment. Edutainment has been recognized as an eff- tive way of learning using modern digital media tools, like computers, games, mobile phones, televisions, or other virtual reality applications, which emphasizes the use of entertainment with application to the education domain. The Edutainment conference series was established in 2006 and subsequently - ganized as a special event for researchers working in this new interest area of e-learning and digital entertainment. The main purpose of Edutainment conferences is to facilitate the discussion, presentation, and information exchange of the scientific and technological development in the new community. The Edutainment conference series becomes a valuable opportunity for researchers, engineers, and graduate s- dents to communicate at these international annual events. The conference series - cludes plenary invited talks, workshops, tutorials, paper...

Deep Learning for Hyperspectral Image Analysis and Classification

Autor: Linmi Tao , Atif Mughees

Número de Páginas: 217

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.

Mathematics in the Primary School

Autor: Sandy Pepperell , Christine Hopkins , Sue Gifford , Peter Tallant

Número de Páginas: 190

Now in its third edition, Mathematics in the Primary School has been updated to reflect recent mathematics curriculum documentation and revised standards for QTS. Key areas include: The role of talk in learning maths Teacher questioning Development of children’s reasoning Creative engagement with maths Assessment for learning and self assessment Suggested resources for teachers including ICT Providing a coherent set of principles for teaching primary mathematics across the main topics in the curriculum, the authors explore children’s understanding of key areas of mathematics, at reception, infant and junior levels. Important principles and teaching approaches are identified, including the use of calculators and computers, and there is an emphasis on mental mathematics and problem solving supporting key issues raised by the Williams review (2008). Case studies are used throughout to illustrate how different teaching approaches are put into practice and how children respond to them, and there is advice on planning, organisation and assessment of mathematical learning in the classroom. Emphasising the importance of teachers’ own mathematical knowledge and offering clear...

Teaching and Learning of mathematics

Autor: Noraini Idris

Número de Páginas: 234

Probabilistic Machine Learning

Autor: Kevin P. Murphy

Número de Páginas: 858

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a...

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

Autor: Mustafa Mamduh Mustafa Awd

Número de Páginas: 289

Fatigue failure of structures used in transportation, industry, medical equipment, and electronic components needs to build a link between cutting-edge experimental characterization and probabilistically grounded numerical and artificially intelligent tools. The physics involved in this process chain is computationally prohibitive to comprehend using traditional computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was developed. Fatigue, which is a random variable, is studied in a Bayesian-based machine learning algorithm. The stress-life model was used based on the compatibility condition of life and load distributions. The defect-correlated assessment of fatigue strength was established using the proposed machine learning and Bayesian statistics algorithms. It enabled the mapping of structural and process-induced fatigue characteristics into a geometry-independent load density chart across a wide range of fatigue regimes.

Empirical Approach to Machine Learning

Autor: Plamen P. Angelov , Xiaowei Gu

Número de Páginas: 437

This book provides a ‘one-stop source’ for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. Itcan also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the...

Imagine Math 7

Autor: Michele Emmer , Marco Abate

Número de Páginas: 477

Imagine mathematics, imagine with the help of mathematics, imagine new worlds, new geometries, new forms. Imagine building mathematical models that make it possible to manage our world better, imagine solving great problems, imagine new problems never before thought of, imagine combining music, art, poetry, literature, architecture, theatre and cinema with mathematics. Imagine the unpredictable and sometimes counterintuitive applications of mathematics in all areas of human endeavour. This seventh volume starts with a homage to the Italian artist Mimmo Paladino who created exclusively for the Venice Conference 2019 ten original and unique works of art paper dedicated to the themes of the meeting. A large section is dedicated to the most recent Fields Medals including a Homage to Maryam Mirzakhani including a presentation of the exhibition on soap bubbles in art and science that took place in 2019. A section is dedicated to cinema and theatre including the performances by Claire Bardainne & Adrien Mondot. A part of the conference focused on the community of mathematicians, their role in literature and even in politics with the extraordinary example of Antanas Mockus Major of...

The First Sourcebook on Asian Research in Mathematics Education - 2 Volumes

Autor: Bharath Sriraman , Jinfa Cai , Kyeonghwa Lee , Lianghuo Fan , Yoshinori Shimizu , Chap Sam Lim , K. Subramaniam

Número de Páginas: 1800

Mathematics and Science education have both grown in fertile directions in different geographic regions. Yet, the mainstream discourse in international handbooks does not lend voice to developments in cognition, curriculum, teacher development, assessment, policy and implementation of mathematics and science in many countries. Paradoxically, in spite of advances in information technology and the “flat earth” syndrome, old distinctions and biases between different groups of researcher’s persist. In addition limited accessibility to conferences and journals also contribute to this problem. The International Sourcebooks in Mathematics and Science Education focus on under-represented regions of the world and provides a platform for researchers to showcase their research and development in areas within mathematics and science education. The First Sourcebook on Asian Research in Mathematics Education: China, Korea, Singapore, Japan, Malaysia and India provides the first synthesized treatment of mathematics education that has both developed and is now prominently emerging in the Asian and South Asian world. The book is organized in sections coordinated by leaders in mathematics...

Neural Networks

Autor: Clifford Lau

Número de Páginas: 344

Advances in Mathematics and STEM Education

Número de Páginas: 246

This volume, Advances in Mathematics and STEM Education: Incorporating Developments in Neuroscience, Brain Science and Neurodiversity seeks to widen understandings about mathematics and STEM education through a more holistic examination of the field. In some chapters this is achieved through the incorporation of advancements in Neuroscience, Brain Science and Neurodiversity, and in other chapters it is achieved through the sharing of research in schools with teachers or an exploration into individual experience, thinking processes and journey. This volume calls for engagement in research that synthesises research findings from different discipline areas to gain a more enriched and authentic understanding of Mathematics and STEM education, particularly regarding teaching and learning. Contributors are: Nur Fatma Aktas, Tasos Barkatsas, Zahra Cooper, Yüksel Dede, Jason Dervish, Melanie Evangelista, Janine Forbes-Rolfe, Wendy Goff, Gürcan Kaya, Gillian Kidman, Huk Yuen Law, Timothy Lynch, Marta Martín-del-Pozo, Juanjo Mena, Rowan Nas, Antonio Patrocinio-Braz, Hazel Tan, and Bin Wu.

The Place Economy - Volume 3

Autor: Andrew Hoyne

Número de Páginas: 700

As a project undertaken before, during and in the aftermath of a global pandemic, The Place Economy Volume 3 represents an increased appreciation of our need as humans for place and community. Spanning 80-plus stories, featuring the work of more than 100 global experts, you will find a celebration of the people, places and ideas that make cities great, alongside close examination of the barriers and challenges still facing communities in Australia and abroad. As with Volume 1 and 2, every story here presents compelling evidence of the better return on investment that occurs for developers and communities alike when insightful placemaking underpins a vision.

Intelligent Autonomous Systems

Autor: Y. Kakazu , M. Wada , T. Sato

Número de Páginas: 824

This book contains scientific and engineering activities of the fifth international conference of Intelligent Autonomous Systems (IAS-5). The exploration for automatic systems has much attention over the centuries and created attractive research activities. The Intelligent and Autonomous systems are the current trend toward fully automatic systems that can adapt to changes in their environment. The purpose of the fifth IAS conference is to provide an opportunity for the international community of researchers in the field of autonomous systems as well as architectures, tools, components, techniques, and new IAS design methodologies. The emphasis will be on science and technology for autonomous systems working in a complex environment.

Advances in Ocular Imaging and Biometry

Autor: Zhenzhen Liu , Xiangjia Zhu , Jiangyue Zhao , Haotian Lin , Ying Han

Número de Páginas: 550

Machine Learning and Knowledge Discovery in Databases

Autor: Ulf Brefeld , Edward Curry , Elizabeth Daly , Brian Macnamee , Alice Marascu , Fabio Pinelli , Michele Berlingerio , Neil Hurley

Número de Páginas: 724

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce;ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Virtual Materials Design

Autor: Norbert Huber , Surya R. Kalidindi , Stefan Blügel , Wolfgang Wenzel

Número de Páginas: 197

Machine Learning

Autor: Kevin P. Murphy

Número de Páginas: 1102

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach,...

Statistical Machine Learning for Engineering with Applications

Autor: Jürgen Franke , Anita Schöbel

Número de Páginas: 393

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed. The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis. The focus is on fundamental ideas, applicability and...

GPU Computing and Applications

Autor: Yiyu Cai , Simon See

Número de Páginas: 289

This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.

ICGG 2020 - Proceedings of the 19th International Conference on Geometry and Graphics

Autor: Liang-yee Cheng

Número de Páginas: 966

This book covers various aspects of Geometry and Graphics, from recent achievements on theoretical researches to a wide range of innovative applications, as well as new teaching methodologies and experiences, and reinterpretations and findings about the masterpieces of the past. It is from the 19th International Conference on Geometry and Graphics, which was held in São Paulo, Brazil. The conference started in 1978 and is promoted by the International Society for Geometry and Graphics, which aims to foster international collaboration and stimulate the scientific research and teaching methodology in the fields of Geometry and Graphics. Organized five topics, which are Theoretical Graphics and Geometry; Applied Geometry and Graphics; Engineering Computer Graphics; Graphics Education and Geometry; Graphics in History, the book is intended for the professionals, academics and researchers in architecture, engineering, industrial design, mathematics and arts involved in the multidisciplinary field.

Data Augmentation, Labelling, and Imperfections

Autor: Hien V. Nguyen , Sharon X. Huang , Yuan Xue

Número de Páginas: 134

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.

Artificial Intelligence for Smart Health: Learning, Simulation, and Optimization

Autor: Bing Yao , Nathan Gaw , Hyo Kyung Lee

Número de Páginas: 156

With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available and accessible in the clinical environment. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. However, it is widely acknowledged that biomedical and healthcare data contain high dimensions, large volumes, missing values, imbalanced classes, heterogeneous sources, multi-modalities, and measurement noises. These inherent features pose significant barriers to the translation of data into meaningful clinical actions. Thus, there arises an urgent and compelling need for the development of innovative machine learning, simulation, and optimization algorithms to cope with the unique challenges associated with biomedical and healthcare data, facilitating the transformation of data into actionable insights for smart health. Our Research Topic aims at catalyzing synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) ...

Preparation Master CTET Paper 1 Book : Primary Teachers Class 1-5 (English Edition) - 24 Solved Papers (Previous Year Papers) with Free Access to Online Tests

Autor: Edugorilla Prep Experts

Número de Páginas: 331

3D Printing for the Radiologist, E-Book

Autor: Nicole Wake

Número de Páginas: 244

Comprehensive, yet concise, 3D Printing for the Radiologist presents an overview of three-dimensional printing at the point of care. Focusing on opportunities and challenges in radiology practice, this up-to-date reference covers computer-aided design principles, quality assurance, training, and guidance for integrating 3D printing across radiology subspecialties. Practicing and trainee radiologists, surgeons, researchers, and imaging specialists will find this an indispensable resource for furthering their understanding of the current state and future outlooks for 3D printing in clinical medicine. - Covers a wide range of topics, including basic principles of 3D printing, quality assurance, regulatory perspectives, and practical implementation in medical training and practice. - Addresses the challenges associated with 3D printing integration in clinical settings, such as reimbursement, regulatory issues, and training. - Features concise chapters from a team of multidisciplinary chapter authors, including practicing radiologists, researchers, and engineers. - Consolidates today's available information on this timely topic into a single, convenient, resource.