Danilo Mandic

Toshihisa Tanaka

Martin Golz

Anthony Kuh

Dragan Obradovic

This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.

Signal Processing Techniques for Knowledge Extraction and Information Fusion

Jordi Solé-Casals

Zhe Sun

Cesar F. Caiafa

Over the past years, businesses have had to tackle the issues caused by numerous forces from political, technological and societal environment. The changes in the global market and increasing uncertainty require us to focus on disruptive innovations and to investigate this phenomenon from different perspectives. The benefits of innovations are related to lower costs, improved efficiency, reduced risk, and better response to the customers’ needs due to new products, services or processes. On the other hand, new business models expose various risks, such as cyber risks, operational risks, regulatory risks, and others. Therefore, we believe that the entrepreneurial behavior and global mindset of decision-makers significantly contribute to the development of innovations, which benefit by closing the prevailing gap between developed and developing countries. Thus, this Special Issue contributes to closing the research gap in the literature by providing a platform for a scientific debate on innovation, internationalization and entrepreneurship, which would facilitate improving the resilience of businesses to future disruptions. Order Your Print Copy

Machine Learning Methods with Noisy, Incomplete or Small Datasets

Masatoshi Takeda

Ramón Cacabelos

Alzheimers disease affects 6-10% of the elderly population, causing impairment in cognitive functions and significant disability in daily living for more than ten years. Neurofibrillary tangles, amyloid deposits and neuronal loss are the three hallmarks of Alzheimers disease. Due to insolubility of these unique structures in Alzheimer brain tissue, they were very difficult to study by usual biochemical methods in the past. Active research is now going on to elucidate the pathogenesis of Alzheimers disease. Major topics of neurobiological study of Alzheimers disease include the unraveling of the molecular mechanism of neurofibrillary tangle formation in neuronal and glial cells, the molecular processing of amyloid precursor protein in intracellular organella and in extra-cellular space, and the molecular mechanism of neuronal loss. The articles in this book were selected from contributions presented by leading scientists in this field at the international symposium which took place in Osaka in 2002. This publication is essential reading for all researchers, clinicians, basic and social scientists, neurologists and psychiatrists to promote the understanding of this formidable disease.

Molecular Neurobiology of Alzheimer Disease and Related Disorders

Mahnaz Arvaneh

This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This is an emerging and challenging technology in engineering, computing, machine learning, neuroscience and medicine, and so the book will interest researchers, engineers, professionals and specialists from all of these areas who need to know more about cutting edge technologies in the fields.

Toshihisa Tanaka

Books

Your next favorite book is out there