Conferences related to Artificial Intelligence

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers and practitioners from industry and academia with a platform to report on recent developments in the area of computational intelligence.


2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)

CCECE is the flagship conference for researchers, students, and professionals in the area of Electrical and Computer Engineering from Canada and around the world to meet annually in a Canadian city to disseminate their research advancements and discoveries, to network and exchange ideas in order to strengthen existing partnerships and foster new collaborations


2018 IEEE Conference on Computational Intelligence and Games (CIG)

The IEEE Conference on Computational Intelligence and Games is the premier annual event for researchers applying computational and artificial intelligence techniques to games. The domain of the conference includes all sorts of CI/AI applied to all sorts of games, including board games, video games and mathematical games.

  • 2017 IEEE Conference on Computational Intelligence and Games (CIG)

    Computer games not only offer a killer application for computational intelligence (CI), machine learning and search but also provide a compelling domain where problem solving and decision making meet artifact creation; both of which can be experienced via a highly immersive, complex and rich interaction. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer games. The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (CIG) is one of the premier international conferences in the field of computational and artificial intelligence and games.

  • 2016 IEEE Conference on Computational Intelligence and Games (CIG)

    Games can be used as a challenging scenery for benchmarking methods from computational intelligence since they provide dynamic and competitive elements that are germane to real-world problems. This conference brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.The IEEE Conference on Computational Intelligence and Games is the premier annual event for researchers applying computational and artificial intelligence techniques to games. The domain of the conference includes all sorts of CI/AI applied to all sorts of games, including board games, video games and mathematical games.

  • 2015 IEEE Conference on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer games. The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in the field of computational intelligence and games.

  • 2014 IEEE Conference on Computational Intelligence and Games (CIG)

    Games can be used as a challenging scenery for benchmarking methods from computational intelligencesince they provide dynamic and competitive elements that are germane to real-world problems. This conference brings together leading researchers andpractitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2013 IEEE Conference on Computational Intelligence and Games (CIG)

    The conference covers applications of computational intelligence to games, defined in a broad sense, as well as applications to supporting technology such as content, art work, and non-player characters.

  • 2012 IEEE Conference on Computational Intelligence and Games (CIG)

    Games provide dynamic environments modelling many real-world problems and methods from computational intelligence promise to having a big impact on game technology and development. CIG 2012 brings together leading researchers, designers, developers, and practitioners from academia and industry to discuss recent advances and explore future directions in this ever changing field.

  • 2011 IEEE Conference on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. The 2010 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2010 IEEE Symposium on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. The 2010 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2009 IEEE Symposium on Computational Intelligence and Games (CIG)

    The 2009 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in the area of computational intelligence applied to games.

  • 2008 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2007 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2006 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2005 IEEE Symposium on Computational Intelligence and Games (CIG)


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Periodicals related to Artificial Intelligence

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Artificial Intelligence

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No authors for "Artificial Intelligence"


Xplore Articles related to Artificial Intelligence

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IEE Colloquium on 'The Application of Artificial Intelligence Techniques to Signal Processing' (Digest No.42)

[] IEE Colloquium on Application of Artificial Intelligence Techniques to Signal Processing, 1989

None


IEE Colloquium on 'Software Engineering and AI (Artificial Intelligence)' (Digest No.087)

[] IEE Colloquium on Software Engineering and AI (Artificial Intelligence) (Digest No.087), 1992

None


Artificial intelligence and modern sports education technology

[{u'author_order': 1, u'affiliation': u'Huangshi Institute of Technology, Hubei China', u'full_name': u'Liu Xian'}] 2010 International Conference on Artificial Intelligence and Education (ICAIE), 2010

Artificial intelligence is a comprehensive cutting-edge discipline which is developing, and an important research direction in the fields of science computer and technology. This paper uses the principles and methods of artificial intelligence on the basis of describing the concept and research areas of artificial intelligence, focuses on in-depth analysis and discussion of applicable perspective and development of artificial intelligence ...


Risk management analysis with the help of lightning strike mapping around 500 k-v grid station using artificial intelligence technique

[{u'author_order': 1, u'affiliation': u'Electrical Department. IQRA National University, Peshawar, Pakistan', u'full_name': u'Kamran Hafeez'}, {u'author_order': 2, u'affiliation': u'Electrical Department. IQRA National University, Peshawar, Pakistan', u'full_name': u'Sheheryar Khan'}] 2012 International Conference of Robotics and Artificial Intelligence, 2012

Lightning has been one of the major problems for insulation design of power systems and it is still one of the main causes of forced outages in transmission and distribution lines. It is necessary to protect the power apparatus from over volts in electric system caused by lightning over voltages. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy ...


Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence

[{u'author_order': 1, u'full_name': u'Jianliang Wang'}, {u'author_order': 2, u'full_name': u'Linshan Fang'}, {u'author_order': 3, u'full_name': u'Xiang Zhuang'}] 2009 International Joint Conference on Artificial Intelligence, 2009

The kaburobo is a kind of stock robot developed by Waseda University written in JAVA. People can finish virtual stock exchanges (VIREAL) on a imagine platform. Players can also make a program to carry on the algorithm simulation and be realized it through the software interface. This paper introduced kaburobopsilas work principle in detail. Based on the research result and ...


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Educational Resources on Artificial Intelligence

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eLearning

No eLearning Articles are currently tagged "Artificial Intelligence"

IEEE-USA E-Books

  • Artificial Intelligence

  • Artificial Intelligence Techniques

    No Abstract.

  • Artificial intelligence in perspective: a retrospective on fifty volumes of the Artificial Intelligence Journal

    This chapter contains sections titled: History of this issue, The contents of this issue, Conclusion, Bibliography of highly cited papers

  • Artificial Intelligence and Learning Environments: Preface

    This chapter contains sections titled: Rationale for the Collection, Research Standards, Overview of the Articles, Research Trends of the 1980s, New Perspectives, References

  • Artificial Intelligence, Document Processing, and HyperText

    None

  • An Artificial Intelligence Perspective on Ensuring Cyber‐Assurance for the Internet of Things

    The technology challenge facing the Internet of Things (IoT) requires a multi‐disciplined approach to artificial intelligence (AI) systems engineering and it is critical that the IoT effort address cyber‐assurance (e.g., embedded, automatic security processing) for rapid responses to significant IoT activities. This chapter briefly provides the possibility of the usage of AI for cyber‐assurance for the IoT. The IoT offers an interactive connection between the physical world and computer systems in order to obtain improved efficiency, accuracy, and economic advantages. An AI approach does not demand the discarding of current IoT systems to start anew. On the contrary, it enables the utilization of existing technology assets by integrating select functionality into the IoT. Although it is highly debated that the technology influence in our daily lives may make us ever more dependent on technology, the growth of AI within the IoT will also continue.

  • Toward Artificial Intelligence through Knowledge Representation for Awareness

    Software‐intensive systems require considerable knowledge provided by software engineers to help explain the problem domain. Still today, computers “talk” in a “binary” language that is simple, logical, and sound, with none of the ambiguity that characterizes human language. Artificial intelligence requires knowledge to be given to computers in well‐founded computational structures that programs can translate into binary computer language. Such knowledge‐representation structures generally take the form of primitives such as rules, frames, semantic networks, concept maps, ontologies, and logical expressions.This chapter walks the reader through the field of knowledge representation to consecutively introduce a new, yet promising knowledge‐representation technique emphasizing self‐adaptation behavior. Furthermore, the chapter introduces the notion of artificial awareness and demonstrates how knowledge representation can be used to integrate awareness in system behavior.

  • A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

    Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self- interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

  • Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks

    This chapter contains sections titled:IntroductionApplying Reinforcement Learning to Distributed Power Control and Channel AccessFuture ChallengesConclusionsReferences

  • Reinforcement Learning‐Based Cognitive Radio for Open Spectrum Access

    This chapter contains sections titled:Open Spectrum AccessReinforcement Learning‐Based Spectrum Sharing in Open Spectrum BandsExploration Control and Efficient Exploration for Reinforcement Learning‐Based Cognitive RadioConclusionReferences




Jobs related to Artificial Intelligence

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