Computational Modeling and Sustainable Energy

Proceedings of ICCMSE 2023
2024
ISBN: 978-981-97-6793-9
Verlag: Springer Nature Singapore

Buch, Englisch, 883 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1664 g

Reihe: Innovations in Sustainable Technologies and Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Jha, Brajesh Kumar

Yavuz, Mehmet

Jha, Navnit

Brahma, Jwngsar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation

Inhaltsverzeichnis

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

Über Autor(innen)

Brajesh Kumar Jha is working as an associate professor at the Department of Mathematics, School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India. He has more than 12 years of teaching and research experience. He holds a M.Sc. degree in Mathematics from Jiwaji University, Gwalior, MP. and a Ph.D. degree in Mathematics from S.V. National Institute of Technology, Surat, Gujarat, India. He has published more than 55 research papers in journals and conference proceedings like Springer, Elsevier, World Scientific, etc. He edited a book entitled “Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling” that was published by River Publishing, Denmark. He was also editor of an international conference proceeding on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy,” MMCITRE-2020 published in Springer. He also serves as a reviewer for many international journals of repute.

Navnit Jha is working as an associate professor (senior grade) at the Department of Mathematics, Faculty of Mathematics and Computer Science, South Asian University, Maidan Garhi, New Delhi, India. He obtained a Ph.D. degree in Numerical Analysis from the University of Delhi in 2004. He has been awarded the Royal Society of Edinburgh Fellowship 2018, Polish Academy of Science Fellowship 2014, Best Teaching Award 2010, CSIR-NET-JRF 2002, and National Scholarship 1993. He supervised four Ph.D. students in the area of high-performance computing and differential equations. More than seventy research papers in the journal of international repute are in his credit.

Jwngsar Brahma is working as an associate professor at the department of applied sciences, Tezpur University.  Prior to join at Tezpur University, Dr. Brahma worked at Pandit Deendayal Energy University (PDEU), Gujarat, India. Dr. Brahma did his undergraduate from Gauhati University, Assam, India.  He has obtained his M.Tech. degree in Computational Seismology and M.Sc. in Mathematics from Tezpur University, Assam, India. Dr. Brahma completed his Ph.D. in Applied Mathematics from Pandit Deendayal Energy University, Gujarat, India. He also possesses a short-term research scholar in Petroleum Engineering from the University of Oklahoma as an International Exposure program in Petroleum Engineering. He published number of quality research papers in Scopus, Web of Science, SCI-indexed journals, and 01 book as a lead author to his credit. He has one funded project from the Ministry of Earth Science (MoES), Govt. of India. His research interests include petroleum exploration, computational seismology, geomechanics, wellbore stability and well control, reservoir modeling and simulation. Till date, he is guiding 02 Ph.D. students.

Mehmet Yavuz received B.Sc. degree (2009) from Zonguldak Bulent Ecevit University, Türkiye, and both M.Sc. (2012) and Ph.D. (2016) degrees in Applied Mathematics from Balikesir University, Türkiye. He visited the Department of Mathematics, University of Exeter, U.K., in the period 2019–2020 for postdoctoral research. He is currently an associate professor at the Mathematics and Computer Sciences Department, Necmettin Erbakan University, Türkiye. He has published more than 75 research papers in reputed journals and 60 conference papers as well as 6 book chapters in international books. He edited a book entitled “Fractional Calculus: New Applications in Understanding Nonlinear Phenomena” that was published by Bentham Science Publishing. He has received an award on the most publishing scientist with international cooperation scientist (gold medal) and two awards on most published scientist in the field of science / engineering for his outstanding research work in the field of science.