Mathematical modelling

This textbook covers the essentials of cells as biocatalysts, including cell morphology, cell genetics, cell metabolism, cell operation, cell stoichiometry, cell engineering, and cell interaction.

Context is necessary for understanding human behavior.

Context is necessary for understanding human behavior.

Mathematical chaos in neural networks is a powerful tool that reflects the world's complexity and has the potential to uncover the mysteries of the brain's intellectual activity.

This book (Volume 1) includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India.

This book (Volume 1) includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India.

Dive into the fascinating world of Digital Twins, Simulation, and the Metaverse, where the virtual/digital and physical worlds collide and reshape industries.

This book studies the theoretical aspects for a variety of coupled fractional differential systems involving Riemann-Liouville, Caputo, ?

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.

This book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations that will help patients and healthcare providers alike.

This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India.

This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India.

This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI.

This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics.

This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI.

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction.

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction.

This book provides a guide for the marine community to understand and address the noise and vibration environment associated with ships.

This book provides a guide for the marine community to understand and address the noise and vibration environment associated with ships.

This book presents peer reviewed articles from the International Conference on Fundamental and Industrial Research on Materials- iConFIRM 2023; held from 11th to 14th Dec at Ropar in India.

This book collects selected, peer-reviewed research presented at the 8th International Conference on Mathematics: Pure, Applied, and Computation, held in Lombok, Indonesia, on 30 September 2023.

These proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering - ICMASE 2023, held on July 12-14, 2023 by the University Center of Technology and Digital Arts (U-tad) in Madrid, Spain.

Space–Time Computational Flow Analysis (STCFA) was developed in 1990 in the context of flows with moving boundaries and interfaces, which is a wide class of problems that includes fluid–particle interactions, fluid–structure interactions (FSI), and free-surface and multi-fluid flows.

These proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering - ICMASE 2023, held on July 12-14, 2023 by the University Center of Technology and Digital Arts (U-tad) in Madrid, Spain.

This book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields.

This book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields.

This book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems.

This book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems.

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper.

These are the proceedings of the 27th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in Prague, Czech Republic, in July 2022.

This book highlights several methods and quantitative implementations of both probabilistic and fuzzy-based approaches to uncertainty quantification and uncertainty propagation through environmental subsurface pollution models with uncertain input parameters.

This book highlights several methods and quantitative implementations of both probabilistic and fuzzy-based approaches to uncertainty quantification and uncertainty propagation through environmental subsurface pollution models with uncertain input parameters.

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper.

This book provides a systematic study on the security of deep learning.

This book discusses computational methods related to biological models using mathematical tools and techniques.

This book discusses computational methods related to biological models using mathematical tools and techniques.

This textbook covers the fundamentals of reliability theory and its application for engineering processes, especially for aircraft units and systems.

This textbook covers the fundamentals of reliability theory and its application for engineering processes, especially for aircraft units and systems.

This book presents peer reviewed articles from the International Conference on Fundamental and Industrial Research on Materials- iConFIRM 2023; held from 11th to 14th Dec at Ropar in India.

This book includes peer reviewed articles from the 4th International Conference on Data Science,  Machine Learning and Applications, 2022,  held at the Hyderabad Institute of Technology & Management on 26-27th December, India.

This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state.

This book includes peer reviewed articles from the 4th International Conference on Data Science,  Machine Learning and Applications, 2022,  held at the Hyderabad Institute of Technology & Management on 26-27th December, India.

This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state.

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 8th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2022), held in Malaysia.

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 8th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2022), held in Malaysia.

This volume gathers selected, peer-reviewed contributions presented at the 5th International Seminar on Mathematics in Industry – ISMI2024, held on September 9-11, 2024 in Kuala Lumpur, Malaysia.

This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics Sciences, Indian Institute of Technology (BHU) Varanasi, India, from 21-23 December 2021.