Application domains

Xem 1-20 trên 195 kết quả Application domains
  • The Handbook of Bioinspired Algorithms and Applications seeks to provide an opportunity for researchers to explore the connection between biologically inspired (or bioinspired) techniques and the development of solutions to problems that arise in a variety of problem domains. The power of bioinspired paradigms lies in their capability in dealingwith complex problemswith little or no knowledge about the search space, and thus is particularly well suited to deal with a wide range of computationally intractable optimizations and decision-making applications....

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  • A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.

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  • Chapter 1: Undertanding the .NET Framework overview .NET Framework; understanding the common language runtime; understanding the managed excution process; understanding assemblies and the global assembly cache; cogfiguration and security; application domains and run times hosts.

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  • This is the first chapter that’s focused on an application domain, rather than on a programming language features or a programming technique. Please make a big deal of that, because it is. Emphasize how the features and techniques we have learned by now come together to solve real-world problems: strings, iostreams, and maps, in particular.

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  • Domain Name System (DNS)is a hierarchical, distributed database that contains mappings of DNS domain names to various types of data, such as IP addressesDomain Name System (DNS)is a hierarchical, distributed database that contains mappings of DNS.InterNIC is responsible for delegating administrative responsibility for portions of the domain namespace and for registering domain names.

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  • Over the last two decades, we have witnessed an explosive growth in both the diversity of techniques and the range of applications of image processing. However, the area of color image processing is still sporadically covered, despite having become commonplace, with consumers choosing the convenience of color imaging over traditional grayscale imaging.

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  • Supply Chain Management (SCM) has been widely researched in numerous application domains during the last decade. Despite the popularity of SCM research and applications, considerable confusion remains as to its meaning. There are several attempts made by researchers and practitioners to appropriately define SCM. Amidst fierce competition in all industries, SCM has gradually been embraced as a proven managerial approach to achieving sustainable profits and growth.

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  • After decades of research activity, speech recognition technologies have advanced in both the theoretical and practical domains. The technology of speech recognition has evolved from the first attempts at speech analysis with digital computers by James Flanagan’s group at Bell Laboratories in the early 1960s, through to the introduction of dynamic time-warping

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  • Bài giảng "Nhập môn mạng máy tính - Chương 6: Lớp Application (Lớp ứng dụng)" cung cấp cho người học các kiến thức cơ bản về lớp Application, Domain Name System (DNS), Telnet, File Tranfer Protocol (FTP), E-Mail, World Wide Web (WWW). Hi vọng đây sẽ là một tài liệu hữu ích dành cho các bạn sinh viên chuyên ngành Công nghệ thông tin dùng làm tài liệu học tập và nghiên cứu.

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  • Often, there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging, where a single ontology is not enough to provide the complementary knowledge about anatomy, radiology and diseases that is required by the related applications. Consequently, semantic integration of these different but related types of medical knowledge that is present in disparate domain ontologies becomes necessary. Medical ontology alignment addresses this need by identifying the semantically equivalent concepts across multiple medical ontologies. ...

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  • With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main applications of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including perceptual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio.

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  • Normally, any ferromagnetic or ferrimagnetic material undergoes a transition to a paramagnetic state above its Curie temperature. Superparamagnetism is different from this standard transition since it occurs below the Curie temperature of the material. Superparamagnetism occurs in nanoparticles which are single domain. This is possible when their diameter is below 3–50 nm, depending on the materials.

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  • We compare the effectiveness of two related • machine translation models applied to the same limited-domain task. One is a transfer model with monolingual head automata for analysis and generation; the other is a direct transduction model based on bilingual head transducers. We conclude that the head transducer model is more effective according to measures of accuracy, computational requirements, model size, and development effort.

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  • We describe a sentiment classification method that is applicable when we do not have any labeled data for a target domain but have some labeled data for multiple other domains, designated as the source domains. We automatically create a sentiment sensitive thesaurus using both labeled and unlabeled data from multiple source domains to find the association between words that express similar sentiments in different domains.

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  • Sitting at the intersection between statistics and machine learning, Dynamic Bayesian Networks have been applied with much success in many domains, such as speech recognition, vision, and computational biology. While Natural Language Processing increasingly relies on statistical methods, we think they have yet to use Graphical Models to their full potential. In this paper, we report on experiments in learning edit distance costs using Dynamic Bayesian Networks and present results on a pronunciation classification task. ...

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  • We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web. We first search the Web for pages containing a term in question. Then we use linguistic patterns and HTML structures to extract text fragments describing the term. Finally, we organize extracted term descriptions based on word senses and domains. In addition, we apply an automatically generated encyclopedia to a question answering system targeting the Japanese InformationTechnology Engineers Examination. ...

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  • This paper describes recent progress and the author's perspectives of speech recognition technology. Applications of speech recognition technology can be classified into two main areas, dictation and human-computer dialogue systems. In the dictation domain, the automatic broadcast news transcription is now actively investigated, especially under the DARPA project.

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  • Computer programming (often shortened to programming, scripting, or coding) is the process of designing, writing, testing, debugging, and maintaining the source code of computer programs. This source code is written in one or more programming languages (such as Java, C++, C#, Python, etc.). The purpose of programming is to create a set of instructions that computers use to perform specific operations or to exhibit desired behaviors.

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  • Recently, many Natural Language Processing (NLP) applications have improved the quality of their output by using various machine learning techniques to mine Information Extraction (IE) patterns for capturing information from the input text. Currently, to mine IE patterns one should know in advance the type of the information that should be captured by these patterns. In this work we propose a novel methodology for corpus analysis based on cross-examination of several document collections representing different instances of the same domain.

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  • We argue that verbal patient diagnosis is a promising application for limited-domain speech translation, and describe an architecture designed for this type of task which represents a compromise between principled linguistics-based processing on the one hand and efficient phrasal translation on the other. We propose to demonstrate a prototype system instantiating this architecture, which has been built on top of the Open Source REGULUS 2 platform. The prototype translates spoken yes-no questions about headache symptoms from English to Japanese, using a vocabulary of about 200 words. ...

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