This book presents recent advancements in research, new methods and techniques, and applications in decision support... Læs mere
It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today's betterment compared to previous development in the technology.
Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be... Læs mere
Focuses on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT.
The nine chapters in this book, along with a critical introduction, address complex theological issues relating to structural inequalities of our society, exacerbated by the experience of the COVID-19 pandemic.
This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image processing related problems in real-life situation.
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. 2, which introduces readers to the Monte Carlo algorithm and highlights the advantages of MCMC, Chap.
Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.