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Author: Murat Yilmaz
Publisher: Springer Nature
ISBN: 3031711394
Category :
Languages : en
Pages : 469
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Book Description
Author: Murat Yilmaz
Publisher: Springer Nature
ISBN: 3031711394
Category :
Languages : en
Pages : 469
Get Book Here
Book Description
Author: Isabel L. Nunes
Publisher: Springer Nature
ISBN: 3030513696
Category : Technology & Engineering
Languages : en
Pages : 407
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Book Description
This book presents cutting-edge research on innovative system interfaces, highlighting both lifecycle development and human–technology interaction, especially in virtual, augmented and mixed reality systems. It describes advanced methodologies and tools for evaluating and improving interface usability, and discusses new models, case studies and good practices. The book addresses the human, hardware, and software factors in the process of developing interfaces for optimizing total system performance, while minimizing costs. It also highlights the forces currently shaping the nature of computing and systems, such as the importance of portability and technologies for reducing power requirements; the need for better assimilation of computation in the environment; and solutions to promote computer and system accessibility for people with special needs. Based on the AHFE 2020 Virtual Conference on Human Factors and Systems Interaction, held on July 16–20, 2020, the book offers a timely survey and a practice-oriented guide for systems interface users and developers alike.
Author: Michael Ungar
Publisher: Oxford University Press
ISBN: 0190095881
Category : Psychology
Languages : en
Pages : 849
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Book Description
"Across diverse disciplines, the term resilience is appearing more and more often. However, while each discipline has developed theory and models to explain the resilience of the systems they study (e.g., a natural environment, a community post-disaster, the human mind, a computer network, or the economy), there is a lack of over-arching theory that describes: 1) whether the principles that underpin the resilience of one system are similar or different from the principles that govern resilience of other systems; 2) whether the resilience of one system affects the resilience of other co-occurring systems; and 3) whether a better understanding of resilience can inform the design of interventions, programs and policies that address "wicked" problems that are too complex to solve by changing one system at a time? In other words (and as only one example among many) are there similarities between how a person builds and sustains psychological resilience and how a forest, community or the business where he or she works remains successful and sustainable during periods of extreme adversity? Does psychological resilience in a human being influence the resilience of the forests (through a change in attitude towards conservation), community (through a healthy tolerance for differences) and businesses (by helping a workforce perform better) with which a person interacts? And finally, does this understanding of resilience help build better social and physical ecologies that support individual mental health, a sustainable environment and a successful economy at the same time?"--
Author: Zhiyuan Liu
Publisher: Springer Nature
ISBN: 9811555737
Category : Computers
Languages : en
Pages : 319
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Book Description
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Author: Simon Sherratt
Publisher:
ISBN: 9789811311666
Category : Computer networks
Languages : en
Pages : 968
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Book Description
The book includes selected high-quality research papers presented at the Third International Congress on Information and Communication Technology held at Brunel University, London on February 27-28, 2018. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IOT), and e-mining. Written by experts and researchers working on ICT, the book is suitable for new researchers involved in advanced studies.
Author: David L. Poole
Publisher: Cambridge University Press
ISBN: 110719539X
Category : Computers
Languages : en
Pages : 821
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Book Description
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
Author: Nils J. Nilsson
Publisher: Elsevier
ISBN: 0080948340
Category : Computers
Languages : en
Pages : 536
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Book Description
Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. - An evolutionary approach provides a unifying theme - Thorough coverage of important AI ideas, old and new - Frequent use of examples and illustrative diagrams - Extensive coverage of machine learning methods throughout the text - Citations to over 500 references - Comprehensive index
Author: Luc Perkins
Publisher: Pragmatic Bookshelf
ISBN: 1680505971
Category : Computers
Languages : en
Pages : 430
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Book Description
Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter. While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive. With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.
Author: Bernardo Ruggeri
Publisher: Springer
ISBN: 1447164318
Category : Technology & Engineering
Languages : en
Pages : 230
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Book Description
This book presents a Two-Stage Anaerobic Digestion (TSAD) technique for producing hydrogen and methane, following a step-by-step approach in order to guide readers through the experimental verification of the related hypothesis. In the first stage of AD, the reaction conditions are optimized to obtain the maximum amount of hydrogen, while in the second the liquid residue from the first phase is used as a substrate to produce fuel-methane. AD has traditionally been used to reduce the organic content of waste; this results in a biogas that is primarily constituted of CH4 and CO2. Over the last few decades, the conversion of organic matter into hydrogen by means of AD and selecting Hydrogen Producing Bacteria (HPB) has matured into a viable and sustainable technology among the pallet of H2 generation technologies. The combined bio-production of hydrogen and methane from Organic Waste Materials (OWM) is considered to be an ideal way of utilizing waste, and can increase energy efficiency (the substrate Heat Value converted into H2 and CH4 fuel) to roughly 80%, since the energy efficiency of H2-production alone (15%) is not energetically competitive. The two gas streams can be used either separately or in combination (Hytane®), be supplied as civilian gas or used for transportation purposes. All the aspects of this sustainable technology are taken into account, from the basic biochemical implications to engineering aspects, establishing the design criteria and the scale-up procedures for full-scale application. The sustainability of the TSAD method is assessed by applying EROI (Energy Return On Investment) and EPT (Energy Payback Time) criteria, and both the general approach and application to the field of Anaerobic Digestion are illustrated.
Author: Martha Palmer
Publisher: Morgan & Claypool Publishers
ISBN: 1598298321
Category : Computers
Languages : en
Pages : 103
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Book Description
This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems. Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling. Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance. Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example. Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented. Table of Contents: Preface / Semantic Roles / Available Lexical Resources / Machine Learning for Semantic Role Labeling / A Cross-Lingual Perspective / Summary
