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Pattern Recognition in Biology
  • Language: en
  • Pages: 268

Pattern Recognition in Biology

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading-edge research from around the world.

Engineering Applications of Neural Networks
  • Language: en
  • Pages: 348

Engineering Applications of Neural Networks

  • Type: Book
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  • Published: 2013-09-25
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  • Publisher: Springer

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
  • Language: en
  • Pages: 818

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Intelligence Applications and Innovations
  • Language: en
  • Pages: 694

Artificial Intelligence Applications and Innovations

  • Type: Book
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  • Published: 2019-05-15
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recog...

Engineering Applications of Neural Networks
  • Language: en
  • Pages: 409

Engineering Applications of Neural Networks

  • Type: Book
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  • Published: 2015-09-28
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. The 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks.

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
  • Language: en
  • Pages: 749

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Engineering Applications of Neural Networks
  • Language: en
  • Pages: 554

Engineering Applications of Neural Networks

  • Type: Book
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  • Published: 2019-05-14
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Artificial Neural Networks and Machine Learning – ICANN 2018
  • Language: en
  • Pages: 637

Artificial Neural Networks and Machine Learning – ICANN 2018

  • Type: Book
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  • Published: 2018-09-25
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  • Publisher: Springer

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Sy...

Autonomous Robotics
  • Language: en
  • Pages: 567

Autonomous Robotics

What Is Autonomous Robotics An autonomous robot is a robot that conducts behaviors or performs tasks autonomously (without external influence). Autonomous robotics is commonly regarded as a branch of artificial intelligence, robotics, and information engineering. How You Will Benefit - Answering the public top questions about autonomous robotics. - Real world examples for the usage of robots in many industries and corporations. - 17 appendices to explain, briefly, 266 emerging technology in each industry to have 360-degree full understanding of robotics' technologies. - Insights, and validations about the following topics: Chapter 1: Autonomous Robot Chapter 2: Behavior-Based Robotics Chapte...

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
  • Language: en
  • Pages: 848

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.