Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

This book presents latest results and selected applications of Computational Intelligence in Biomedical Technologies. Most of contributions deal with problems of Biomedical and Medical Informatics, ranging from theoretical considerations to practical applications. Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed. Individual contributions also cover medical decision making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics. This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical and Medical Informatics, as well as PhD students. Useful information is offered also to IT companies, developers of equipment and/or software for medicine and medical professionals.

This book contains an interesting and state-of the art collection of chapters presenting several examples of attempts to developing modern tools utilizing computational intelligence in different real life problems encountered by humans. Reasoning, prediction, modeling, optimization, decision making, etc. need modern, soft and intelligent algorithms, methods and methodologies to solve, in the efficient ways, problems appearing in human activity. The contents of the book is divided into two parts. Part I, consisting of four chapters, is devoted to selected links of computational intelligence, medicine, health care and biomechanics. Several problems are considered: estimation of healthcare system reliability, classification of ultrasound thyroid images, application of fuzzy logic to measure weight status and central fatness, and deriving kinematics directly from video records. Part II, also consisting of four chapters, is devoted to selected links of computational intelligence and biology. The common denominator of three chapters is Physarum polycephalum, one-cell organisms able to build complex networks for solving different computational tasks. One chapter focuses on a novel device, the memristor, that has possible uses both in the creation of hardware neural nets for artificial intelligence and as the connection between a hardware neural net and a living neuronal cell network in the treatment and monitoring of neurological disease. This book is intended for a wide audience of readers who are interested in various aspects of computational intelligence.

- Written to help those collating student feedback understand their options in terms of available technology and allow them to gather data that can help improve the student experience. - Provides examples of best practice using case studies to help inform departmental and institutional strategic priorities or specific teaching and learning initiatives on various levels. - Global contributors ensure this book is relevant in a world where university student satisfaction rates highly.

Programmes in higher education tend to focus attention on the student s first year (because of concerns about student transition and retention) and on their final year (because of student exiting for their future careers). The middle year(s) of programmes receive relatively little attention which can often lead to a slump in student development at a crucial point in their studies. This book provides practical advice that can be implemented by staff throughout higher education institutions. Rather than providing a set of prescriptions to be slavishly implemented, it prompts practitioners to think constructively about curriculum design and delivery, and about maximising student potential within the context of their particular institution. Amongst the questions asked in this book are:

This book, builds on critiques existing international research on the mid-years experience and also features evidence from a significant new research project from Liverpool John Moores University, provides a number of starting points for institutions enhancement activities as they seek to make the experience of their students as rewarding as possible. It is a must read for institutional managers of higher academic programmes, higher education practitioners and anyone interested in the development of teaching at higher education level."

Programmes in higher education tend to focus attention on the student s first year (because of concerns about student transition and retention) and on their final year (because of student exiting for their future careers). The middle year(s) of programmes receive relatively little attention which can often lead to a slump in student development at a crucial point in their studies. This book provides practical advice that can be implemented by staff throughout higher education institutions. Rather than providing a set of prescriptions to be slavishly implemented, it prompts practitioners to think constructively about curriculum design and delivery, and about maximising student potential within the context of their particular institution. Amongst the questions asked in this book are:

This book, builds on critiques existing international research on the mid-years experience and also features evidence from a significant new research project from Liverpool John Moores University, provides a number of starting points for institutions enhancement activities as they seek to make the experience of their students as rewarding as possible. It is a must read for institutional managers of higher academic programmes, higher education practitioners and anyone interested in the development of teaching at higher education level."

Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

This book contains an interesting and state-of the art collection of chapters presenting several examples of attempts to developing modern tools utilizing computational intelligence in different real life problems encountered by humans. Reasoning, prediction, modeling, optimization, decision making, etc. need modern, soft and intelligent algorithms, methods and methodologies to solve, in the efficient ways, problems appearing in human activity. The contents of the book is divided into two parts. Part I, consisting of four chapters, is devoted to selected links of computational intelligence, medicine, health care and biomechanics. Several problems are considered: estimation of healthcare system reliability, classification of ultrasound thyroid images, application of fuzzy logic to measure weight status and central fatness, and deriving kinematics directly from video records. Part II, also consisting of four chapters, is devoted to selected links of computational intelligence and biology. The common denominator of three chapters is Physarum polycephalum, one-cell organisms able to build complex networks for solving different computational tasks. One chapter focuses on a novel device, the memristor, that has possible uses both in the creation of hardware neural nets for artificial intelligence and as the connection between a hardware neural net and a living neuronal cell network in the treatment and monitoring of neurological disease. This book is intended for a wide audience of readers who are interested in various aspects of computational intelligence.

This book presents latest results and selected applications of Computational Intelligence in Biomedical Technologies. Most of contributions deal with problems of Biomedical and Medical Informatics, ranging from theoretical considerations to practical applications. Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed. Individual contributions also cover medical decision making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics. This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical and Medical Informatics, as well as PhD students. Useful information is offered also to IT companies, developers of equipment and/or software for medicine and medical professionals.

- Written to help those collating student feedback understand their options in terms of available technology and allow them to gather data that can help improve the student experience. - Provides examples of best practice using case studies to help inform departmental and institutional strategic priorities or specific teaching and learning initiatives on various levels. - Global contributors ensure this book is relevant in a world where university student satisfaction rates highly.