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Zdzislaw Trzaska
Mathematical Modelling and Computing in Physics, Chemistry and Biology

This book keeps an eye in the direction of applications of advanced and high performance scientific computing in describing the behavior of natural and constructed systems, e.g. chaos, bifurcation, fracta…

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Information Technologies and Mathematical Modelling. Queueing Theory and Applications

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4¿9, 2023.The 23 full papers…

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Machine Learning in Modeling and Simulation

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering…

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Sebastian Ani¿a, Simone Scacchi, Vincenzo Capasso
Mathematical Modeling and Control in Life and Environmental Sciences

This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences. Emphasizing an approach of learning …

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Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields

This book constitutes the refereed proceedings of the 23rd International Conference on Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields, ITMM 2024, held in Karshi, U…

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Physical and Mathematical Modeling of Earth and Environment Processes

The book presents short papers of participants of the 10th International Scientific Conference and School for Young Scientists 'Physical and Mathematical Modeling of Earth and Environment Processes. The b…

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Glocalising Approaches to Learning and Teaching English

This volume focuses on glocalization in English language teaching and learning, examining the challenges of its implementation. It describes the innovative practices of multilingual TESOL practitioners fr…

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Mathematical Modeling and Intelligent Control for Combating Pandemics

The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intellige…

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Creativity and Critique in Digital Learning and Teaching

"This book shares valuable practice for how to navigate innovative approaches in digital education environments that are attainable for staff and accessible and engaging for students."- Radka Ne…

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Interplay of Fractals and Complexity in Mathematical Modelling and Physical Patterns

This book presents selected, peer-reviewed contributions from the International Symposium on Mathematical Analysis of Fractals and Dynamical Systems - 2023 (ISMAFDS - 2023), held at the Department of Math…

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Héctor Ruiz Martín
How Do We Learn?

A scientific approach to teaching in a way that helps students learnIn recent years, educators and researchers have been working together to bridge the gap between cognitive science and teaching practice.…

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Developing Materials for Innovative Teaching and Sustainable Learning

This volume features current, innovative, and effective ways of developing instructional materials for diverse English Language Teaching (ELT) contexts. It is divided into four sections, each featuring pe…

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Jeannette Littlemore
Applying Cognitive Linguistics to Second Language Learning and Teaching

This is a revised and updated edition of a seminal text in the field of Cognitive Linguistics, written in an engaging and accessible style for a new generation of scholars and students. The author surveys…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science¿specifically in continuum physics. It develops the foundations and details a num…

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Modeling and Optimization of Signals Using Machine Learning Techniques

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing.Model…

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Proceedings of 4th International Conference on Mathematical Modeling and Computational Science

This book aims to capture the interest of researchers and professionals in information technology, computer science, and mathematics. It covers fundamental and advanced concepts related to intelligent com…

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent a…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry

Master the fundamentals of reaction systems modeling for the age of decarbonizationReactor design is one of the most important parts of the oil and gas industry, with reactor processes and the accompanyin…

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