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Perspectives from Europe and Asia on Engineering Design and Manufacture
This book will be the first proceedings of a series of symposia on the exchange of best practices and research in engineering design and manufacture organized focusing on Europe and Asia by a group of researchers from European and Asian Universities working on several EU funded projects. This very first book will explore the difference and communalities of European and Asian research and practice in this very important field. With the rapid economic expansion of Asia and the gradual shift of manufacturing from Europe and the USA to Asia, this Symposium will provide a timely forum for leading researchers in the field to exchange their research findings and experience. The book covers this first symposium, and aims to give insights to these on-going changes, shows their implications from design and manufacture perspective for both Europe and Asia and identifies new research topics to improve industrial practice. The primary audience of this book are researchers in the field of engineering design and manufacture, industrialists and business persons who are interested in finding out the state of design and manufacture in Asia and Europe.
365 Days of Progress In Neuro-Oncology and Neurosurgical Oncology
“365 Days of Progress” is part of a wider series of Research Topics across Frontiers in Oncology, hosted by our Specialty Chief Editors, showcasing popular articles from 2021 igniting interest in the field. This Research Topic aims to highlight the work featured and spark further discussion. The Neuro-Oncology and Neurosurgical Oncology field is continuously evolving, therefore we are seeking to understand developments and perspectives on articles that have attracted attention throughout the year. We welcome Opinions, Perspectives, and Mini-Review article types to facilitate this discussion. We also welcome updated original data following the research featured in this collection. Please ...
Polyimide for Electronic and Electrical Engineering Applications
Polyimide is one of the most efficient polymers in many industries for its excellent thermal, electrical, mechanical, and chemical properties as well as its easy processability. In the electronic and electrical engineering industries, polyimide has widely been used for decades thanks to its very good dielectric and insulating properties at the high electric field and at high temperatures of around 200°C in long term-service. Moreover, polyimide appears essential for the development of new electronic devices where further considerations such as high power density, integration, higher temperature, thermal conduction management, energy storage, reliability, or flexibility are required in order to sustain the growing global electrical energy consumption. This book gathers interdisciplinary chapters on polyimide in various topics through state-of-the-art and original ongoing research.
Neural Network Methods for Natural Language Processing
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Advances in Functionally Graded Materials and Structures
Functionally graded materials (FGMs) were initially designed as thermal barrier materials for aerospace structures and fusion reactors and now they are also considered as potential structural materials for future high-speed spacecraft and recently are being increasingly considered in various applications to maximize strengths and integrities of many engineering structures. This book is a result of contributions of experts from international scientific community working in different aspects of FGMs and structures and reports on the state of the art research and development findings on this topic through original and innovative research studies. Through its six chapters the reader will have ac...
Fundamentals of Environmental Assessment
Based on the "go to" book in the field of ecological risk assessment, this shorter, principles-based, updated textbook is essential for students and new practitioners who want to understand the purposes of environmental assessments and how to achieve them. It includes environmental risks to humans as well as nonhuman populations and ecosystems, and most types of environmental assessments. Drawing upon the author’s extensive experience in the field, first as a senior research staff member in the Environmental Sciences Division at Oak Ridge Laboratory and then as science advisor in the United States Environmental Protection Agency’s National Center for Environmental Assessment, the book ex...
Machine Learning and Knowledge Discovery in Databases
The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.
Metric Learning
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data....
Techniques in Aquatic Toxicology, Volume 2
Following up on his popular Techniques in Aquatic Toxicology with a second volume, now nine years later, Dr. Ostrander has once again called on the top aquatic toxicologists from across the world to present 39 chapters of unique collection and testing procedures. Updating five techniques from the first volume, the authors have gone on to add over two dozen new techniques. Every chapter covers a specific procedure that can easily be reproduced by any competent technician with basic knowledge. Each of the chapter authors provides and interprets typical and anomalous results, false positives, and artifacts. Data is provided either from recently published experiments or from work being published for the first time.
