£67.99
£67.99
This book explores mathematical modelling and machine learning for applications in human health, sustainability, and engineering. It covers AI for diet formulation and diabetes treatment, sustainable corrosion inhibition, and enhanced automobile safety to promote economic growth.
The book brings to the fore the different approaches of current trends in mathematical modelling, machine learning, and relevant software tools in the development of different models and routes in arriving at different nutrient diet formulations, application of artificial intelligence for diabetes treatment in improving assessment to patients at risk, diagnosis, and self-management leading to the understanding and promotion of energy policies, human health, and economic growth. It introduces these methodologies for the enhancement of informed decision-making, improving sustainability, and increasing energy diversity. In addition, the book establishes current corrosion inhibition technologies through the use of sustainable and renewable materials. In a related approach, it explores automobile systems functionality for safety regulations by outlining key tribological elements that will enhance braking systems and guarantee vehicle stability and safety.
This book presents sports statistics to academics and fans alike. Even without advanced math knowledge, readers will gain completely new insights into their favourite sports by combining sports analytics, data visualisation, and advanced statistical procedures.
In the world of sports, data science and analytics are leading to game-changing insights. This book provides a solid understanding of these new trends and offers the interested reader a starting point from which to dive into this blossoming field.
This book covers Monté Carlo Methods and computer simulation for applications like calculating Pi, integration, areas, and volumes. It also introduces the novel Complex Probability Paradigm. For scholars and students in mathematics, computer science, and science in general.
Master the core methods of statistical research. This practical guide covers key techniques, from sampling to interconnection analysis, teaching you how to apply them effectively and interpret your results with confidence.
This book analyzes algorithms for stochastic phenomena like random processes and Markov chains. It presents a novel “Complex Probability Paradigm” applied to Brownian motion, making it ideal for researchers and students in mathematics, computer science, and science.
Explore the revolutionary work of David Hilbert, a giant of 20th-century mathematics. This book examines his axiomatic method, his famous 23 Problems, his program for the foundations of mathematics, and his crucial contributions to relativity and quantum physics.
The beauty of game theory is its application to real world problems. This book commemorates the marriage of the theory and practice, not in heaven, but in the real world.
This book introduces Kolmogorov-Zurbenko Filters, powerful data analysis tools that discover phenomena hidden within data. Rather than forcing models, these methods obtain accurate results in noisy environments by separating sources of influence to explain the total picture.
This book presents the direct integration method, a tool for analyzing the elastic response of nonhomogeneous solids to thermal and force loadings. By reducing elasticity problems to integral equations, this method provides efficient, closed-form solutions for these materials.
This book provides insights into the dynamics of control systems, highlighting the first-time use of Morse theory to describe global dynamics. It is an accessible source of definitions, examples, theorems, and open questions for students, researchers, and professionals.
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