Computational Modeling and Sustainable Energy : Proceedings of ICCMSE 2023 (Innovations in Sustainable Technologies and Computing) （2025）

Jha, Brajesh Kumar (EDT)/ Jha, Navnit (EDT)/ Brahma, Jwngsar (EDT)

Springer Nature（2024/10発売）

• 製本 Hardcover:ハードカバー版／ページ数 490 p.
• 言語 ENG
• 商品コード 9789819767939

Full Description

This book features best-selected research papers presented at International Conference on Computational Modeling and Sustainable Energy (ICCMSE 2023) held at Pandit Deendayal Energy University, Gandhinagar, Gujarat, India, during December 15-17, 2023. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human-computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, big data, cloud computing, business intelligence, Internet security, pattern recognition, and sustainable energy.

Contents

1. A Computational Model for Intracellular Calcium Dynamics in 휶-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.