V. Sree Hari Rao – författare
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4 produkter
4 produkter
Inbunden, Engelska, 2013
1 674 kr
Skickas inom 10-15 vardagar
Though great advances in public health are witnessed world over in recent years, infectious diseases, besides insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Control of the epidemics caused by the non-vector borne diseases such as tuberculosis, avian influenza (H5N1) and cryptococcus gattii, have left a very little hope in the past. The advancement of research in science and technology has paved way for the development of new tools and methodologies to fight against these diseases. In particular, intelligent technology and machine-learning based methodologies have rendered useful in developing more accurate predictive tools for the early diagnosis of these diseases. In all these endeavors the main focus is the understanding that the process of transmission of an infectious disease is nonlinear (not necessarily linear) and dynamical in character. This concept compels the appropriate quantification of the vital parameters that govern these dynamics. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practioners, and senior undergraduate and graduate students in applied mathematics, biology, bioinformatics, and epidemiology, medicine and health sciences.
E-bok
PDF, Engelska, 20132 110 kr
Läs direkt efter köp
Though great advances in public health are witnessed world over in recent years, infectious diseases, besides insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Control of the epidemics caused by the non-vector borne diseases such as tuberculosis, avian influenza (H5N1) and cryptococcus gattii, have left a very little hope in the past. The advancement of research in science and technology has paved way for the development of new tools and methodologies to fight against these diseases. In particular, intelligent technology and machine-learning based methodologies have rendered useful in developing more accurate predictive tools for the early diagnosis of these diseases. In all these endeavors the main focus is the understanding that the process of transmission of an infectious disease is nonlinear (not necessarily linear) and dynamical in character. This concept compels the appropriate quantification of the vital parameters that govern these dynamics. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practioners, and senior undergraduate and graduate students in applied mathematics, biology, bioinformatics, and epidemiology, medicine and health sciences.
Häftad, Engelska, 2016
1 674 kr
Skickas inom 10-15 vardagar
Though great advances in public health are witnessed world over in recent years, infectious diseases, besides insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Control of the epidemics caused by the non-vector borne diseases such as tuberculosis, avian influenza (H5N1) and cryptococcus gattii, have left a very little hope in the past. The advancement of research in science and technology has paved way for the development of new tools and methodologies to fight against these diseases. In particular, intelligent technology and machine-learning based methodologies have rendered useful in developing more accurate predictive tools for the early diagnosis of these diseases. In all these endeavors the main focus is the understanding that the process of transmission of an infectious disease is nonlinear (not necessarily linear) and dynamical in character. This concept compels the appropriate quantification of the vital parameters that govern these dynamics. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practioners, and senior undergraduate and graduate students in applied mathematics, biology, bioinformatics, and epidemiology, medicine and health sciences.
Inbunden, Engelska, 2026
3 278 kr
Kommande
This book presents a comprehensive collection of research contributions from the National Conference on Modeling, Analysis, and Simulation (MAS 2024), held at the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India, from 28–30 June 2024. It discusses the foundational and emerging topics vital to solving scientific and engineering challenges—ranging from mathematical modeling, dynamical systems, and mechanics of solids and fluids to advanced statistical approaches and the application of artificial intelligence, machine learning, and the Internet of Things. Emphasizing mathematical modeling as a powerful lens to represent and analyze complex phenomena, this book bridges disciplines through quantitative abstraction and predictive insight.This book highlights the role of computational models in capturing the behavior of physical systems, particularly within solid mechanics and fluid dynamics, where accurate simulations support efficient design and analysis. Contributions on dynamical systems theory explore intricate aspects of system stability, nonlinear dynamics, and bifurcation analysis, deepening our understanding of evolving systems. By showcasing the integration of AI and ML with traditional modeling frameworks, this book illustrates how intelligent tools enhance predictive capabilities, facilitate data-driven decision making, and offer scalable solutions to real-world complexity.