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Directions in Chaos
  • Language: en
  • Pages: 402

Directions in Chaos

Volume 2 of Directions in Chaos consists of the contributions made to the Beijing Summer School on Chaotic Phenomena in Nonlinear Systems held in August 1987.

Neural Information Processing
  • Language: en
  • Pages: 629

Neural Information Processing

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Affective Processing and Non-invasive Brain Stimulation
  • Language: en
  • Pages: 438

Affective Processing and Non-invasive Brain Stimulation

None

Computer and Information Science 2011
  • Language: en
  • Pages: 268

Computer and Information Science 2011

  • Type: Book
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  • Published: 2011-06-29
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  • Publisher: Springer

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, ...

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.

Open-Source Software for Neurodata Curation and Analysis
  • Language: en
  • Pages: 196

Open-Source Software for Neurodata Curation and Analysis

None

Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
  • Language: en
  • Pages: 755

Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

This is an open access book. Management science aims to study the dynamic study of human use of limited resources in management activities to achieve organizational goals: complex and innovative social behavior and its laws. And engineering management refers to the management of important and complex new products, equipment and devices in the process of development, manufacturing and production, and also includes the study and management of technological innovation, technological transformation, transformation, transformation, layout and strategy of industrial engineering technology development. The development or breakthrough of management theory is accompanied by the development and progre...

Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
  • Language: en
  • Pages: 1031

Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

This is an open access book. Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to t...

Developments in Natural Intelligence Research and Knowledge Engineering: Advancing Applications
  • Language: en
  • Pages: 382

Developments in Natural Intelligence Research and Knowledge Engineering: Advancing Applications

  • Type: Book
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  • Published: 2012-06-30
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  • Publisher: IGI Global

"This book covers the intricate worlds of thought, comprehension, intelligence, and knowledge through the scientific field of Cognitive Science, covering topics that have been pivotal at major conferences covering Cognitive Science"--Provided by publisher.