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Intelligent Computing Theories and Application
  • Language: en
  • Pages: 683

Intelligent Computing Theories and Application

This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction.

Intelligent Computing Methodologies
  • Language: en
  • Pages: 638

Intelligent Computing Methodologies

This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.

Machine Learning Techniques on Gene Function Prediction
  • Language: en
  • Pages: 485
Machine Learning Techniques on Gene Function Prediction Volume II
  • Language: en
  • Pages: 264
Computational analysis of promoters in prokaryotic genomes
  • Language: en
  • Pages: 96

Computational analysis of promoters in prokaryotic genomes

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Explainable Intelligent Processing of Biological Resources Integrating Data, Information, Knowledge, and Wisdom
  • Language: en
  • Pages: 247