Computational Modeling and Sustainable Energy Proceedings of ICCMSE 2023 /

Computational Modeling and Sustainable Energy Proceedings of ICCMSE 2023 /

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Jha, Brajesh Kumar (Editor), Jha, Navnit (Editor), Brahma, Jwngsar (Editor), Yavuz, Mehmet (Editor)
Shrnutí:XX, 883 p. 372 illus., 345 illus. in color.
text
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Innovations in Sustainable Technologies and Computing,
Témata:
Computational intelligence.
Artificial intelligence > Data processing.
Computer simulation.
Renewable energy sources.
Computational Intelligence.
Data Science.
Computer Modelling.
Renewable Energy.
On-line přístup:https://doi.org/10.1007/978-981-97-6794-6
Médium: Elektronický zdroj Kniha
Obsah:
  • 1. A Computational Model for Intracellular Calcium Dynamics in 𝜶-Cell Regulating ATP Production
  • 2. Selecting Optimal Molecular Interaction Settings and Identifying Key Biological Targets Through Enrichment Analysis and Data Mining
  • 3. Effects of Mutating Bacteria on the Coexistence of Bacteria Bacteriophage
  • 4. Finite Volume Model to Study the Effect of Protein on Calcium Distribution in T Lymphocyte
  • 5. Fuzzy based Security Assurance Framework Considering Uncertainty in Decision Making
  • 6. Mathematical Modeling and Simulation of naphthalene biodegradation using Pseudomonas aeruginosa
  • 7. Exploring Ca2+ Distribution within Cardiac Myocytes in the Presence of Excess Buffer A Finite Volume Approach
  • 8. A Machine Learning Model to Differentiating Normal and Cancer Genes Using Dinucleotide Analysis.

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