الصفحة 13
الصفحة 13
Computational Processing of the Portuguese Language ; 7th International Workshop, PROPOR 2006, Itatiaia, Brazil, May 13-17, 2006, Proceedings
Since 1993, PROPOR Workshops have become an important forum for - searchers involved in the Computational Processing of Portuguese,both written and spoken. The workshop and this book were structured around the following main t- ics, seven for full papers: (i) automatic summarization; (ii) resources; (iii) au- matic translation; (iv) named entity recognition; (v) tools and frameworks; (vi) systems and models; and another ?ve topics for short papers; (vii) information extraction; (viii) speech processing; (ix) lexicon; (x) morpho-syntactic studies; (xi) web, corpus and evaluation.
Computational Physiology : Simula Summer School 2021 − Student Reports
Compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level physiology across scales and scientific questions.
Computational methods in systems biology ; 18th International Conference, CMSB 2020, Konstanz, Germany, September 23–25, 2020, Proceedings
This book constitutes the refereed proceedings of the 18th International Conference on Computational Methods in Systems Biology, CMSB 2020, held in Konstanz, Germany, in September 2020.* The 17 full papers and 5 tool papers were carefully reviewed and selected from 30 submissions. In addition 3 abstracts of invited talks and 2 tutorials have been included in this volume. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology.
Computational logic in multi-agent systems ; Vol. 3487 ; 5th International Workshop, CLIMA V, Lisbon, Portugal, September 29-30, 2004, Revised Selected and Invited Papers
The notion of agency has recently increased its in?uence in the research and - velopment of computational logic based systems, while at the same time sign- cantly gaining from decades of research in computational logic. Computational logic provides a well-de?ned, general, and rigorous framework for studying s- tax, semantics and procedures, for implementations, environments, tools, and standards, facilitating the ever important link between speci?cation and ver- cation of computational systems. The purpose of the Computational Logic in Multi-agent Systems (CLIMA) international workshop series is to discuss techniques, based on computational logic, for representing, programming, and reasoning about multi-agent systems in a formal way. Former CLIMA editions were conducted in conjunction with other major computational logic and AI events Thesubmittedpapersshowedthatthelogicalfoundationsofmulti-agent systems are felt by a large community to be a very important research topic, upon which classical AI and agent-related issues are to be addressed.
Computational intelligence and bioinspired systems ; 8th International Work-conference on artificial neural networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” papers was addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
Combinatorics, Algorithms, Probabilistic and Experimental Methodologies ; 1st International Symposium, ESCAPE 2007, Hangzhou, China, April 7-9, 2007, Revised Selected Papers
This book address practical large data processing problems with different, and eventually converging, methodologies from major important disciplines such as computer science, combinatorics, and statistics. The symposium provides an interdisciplinary forum for researchers across their discipline boundaries to exchange their approaches, to search for ideas, methodologies, and tool boxes, to find better, faster and more accurate solutions thus fostering innovative ideas as well as to develop research agenda of common interest.
Collaborative networks and their breeding environments ; IFIP TC 5 WG 5.5 Sixth IFIP Working Conference on VIRTUAL ENTERPRISES, 26-28 September 2005, Valencia, Spain
This book contains selected articles from PRO-VE'05, the sixth working conference on virtual enterprises, which was sponsored by the International Federation for Information Processing (IFIP) and held in Valencia, Spain. Being recognized as the most focused scientific / technical conference on Collaborative Networks, PRO-VE continues offering the opportunity for the presentation and discussion of both the latest research developments and practical application case studies. Following the IFIP vision. The articles included in this book represent a comprehensive overview of recent advances in various domains and lines of development of collaborative networks. Of particular relevance are the topics of holistic approaches and breeding environments management, creation and management of virtual organizations and professional virtual communications, performance measurement and management, benefit analysis, trust management, process modeling and meta-modeling, ICT infrastructures and support services, legal issues, and case studies.
Cold Micro Metal Forming : Research Report of the Collaborative Research Center “Micro Cold Forming” (SFB 747), Bremen, Germany
This book contains the research report of the Collaborative Research Center “Micro Cold Forming” (SFB 747) of the University of Bremen, Germany. The topical research focus lies on new methods and processes for a mastered mass production of micro parts which are smaller than 1mm (by forming in batch size higher than one million). The target audience primarily comprises research experts and practitioners in production engineering, but the book may also be of interest to graduate students alike.
CMOS Current-Mode Circuits for Data Communications
Addresses the analysis and design principles of CMOS current mode circuits and their applications for data communications. The analytical methods and design principles are based on the characteristics of MOS devices applied to current CMOS technologies. Major topics include: design techniques for current mode circuits, electrical signaling for high speed data links, current-mode transmitters and receivers, switching noise and grounding of mixed mode circuits, a comparison of voltage-mode with current-mode circuits, ESD protection, and additional related topics. Examples are given of CMOS technologies from leading semiconductor companies and analyzed using the latest computer-aided design tools by leading design companies. CMOS Current-Mode Circuits for Data Communications is a valuable reference for circuit design engineers and hardware system engineers.
Cloud Native Architecture and Design : A Handbook for Modern Day Architecture and Design with Enterprise-Grade Examples
Explains the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. And Progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. You will: Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems ; Gain the techniques and concepts you need to adapt to design a cloud-native application ; Use assessment techniques and tools for IT modernization ; Apply cloud-native engineering principles to the culture of automation and culture of innovation ; Harness the techniques and tools to run your cloud-native applications and automate infrastructure ; Operate your cloud-native applications by using AI techniques and zero operation techniques
Clinical text mining : Secondary use of electronic patient records
Describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.
Mathematical modeling of the human brain : From magnetic resonance images to finite element simulation
This book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs. The connection between these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted images.
Mathematical Knowledge Management ; Vol. 4108 ; 5th International Conference, MKM 2006, Wokingham, UK, August 11-12, 2006, Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Mathematical Knowledge Management, MKM 2006, held in Wokingham, UK in August 2006 as official satellite event of the International Congress of Mathematicians, ICM 2006. The 22 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers in this volume cover the whole area of mathematical knowledge management in the intersection of mathematics, computer science, library science, and scientific publishing. The papers are organized in topical sections on proof representations, proof processing, knowledge extraction, knowledge representation, as well as systems and tools.
Mathematical Approaches to Software Quality
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
Many-Core Computing : Hardware and software
Provides a timely and coherent account of the recent advances in many-core computing research. Starting with programming models, operating systems and their applications; it presents runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems. Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number of parallel cores increases, we transition into the many-core computing era. There is considerable interest in developing methods, tools, architectures and applications to support many-core computing.
Making Grids Work ; Proceedings of the CoreGRID Workshop on Programming Models Grid and P2P System Architecture Grid Systems, Tools and Environments 12-13 June 2007, Heraklion, Crete, Greece
Making Grids Work includes selected articles from the CoreGRID Workshop on Grid Programming Models, Grid and P2P Systems Architecture, Grid Systems, Tools and Environments held at the Institute of Computer Science, Foundation for Research and Technology - Hellas in Crete, Greece, June 2007. This workshop brought together representatives of the academic and industrial communities performing Grid research in Europe. Organized within the context of the CoreGRID Network of Excellence, this workshop provided a forum for the presentation and exchange of views on the latest developments in Grid Technology research. This volume is the 7th in the series of CoreGRID books.
Machine Learning Refined : Foundations, Algorithms, and Applications
Provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology.
Machine learning refined : Foundations, algorithms, and applications
Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization
Machine Learning for Cyber Agents : Attack and Defence
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter.
Machine Learning Approaches in Cyber Security Analytics
Introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.
