Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application...

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Approximately 29 million Americans are diagnosed with Type 2 diabetes annually. Of that number, only about 36 percent (10.44 million diabetes sufferers) achieve satisfactory medical outcomes and would need additional help?rarely available?to reliably control their glucose levels. Contrary to popular belief, although anti-diabetic...

Introduction to Chemical Graph Theory is a concise introduction to the main topics and techniques in chemical graph theory, specifically the theory of topological indices. These include distance-based, degree-based, and counting-based indices. The book covers some of the most commonly used mathematical...

The volume of this new edition of the Handbook cover the basic biological, medical, physical, and electrical engineering principles. They also include experimental results concerning how electric and magnetic fields affect biological systems?both as potential hazards to health and potential tools for medical treatment and scientific...

Ethnobotany includes the traditional use of plants in different fields like medicine and agriculture. This book incorporates important studies based on ethnobotany of different geographic zones. The book covers medicinaland aromatic plants, ethnopharmacology, bioactive molecules, plants used in cancer, hypertension, disorders of the...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB^® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB^®, without bogging down...

Readily available commercial software enables engineers and students to perform routine calculations and design without necessarily having a sufficient conceptual understanding of the anticipated solution. The software is so user-friendly that it usually produces a beautiful colored visualization of that solution, often camouflaging...

Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB^® Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors...