In recent decades, the study of signal processing has become increasingly complex, with new techniques and applications constantly being developed for the processing, transformation, and interpretation of signals. This book provides a comprehensive introduction to the traditional and modern methods used in signal processing. It is designed to...
The problem of selection of alternatives or the problem of decision making in the modern world has become the most important class of problems constantly faced by business people, researchers, doctors and engineers. The fields that are almost entirely focused on conflicts, where applied mathematics is successfully used, are law, military...
This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as...
This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual...
Did you like Math or Science in school? Have you played games that stimulated your thought processes for Math and Science? Trying to be creative in your Math, Science or leadership class? Can leadership be taught? Is leadership an Art or a Science or Math? Seeking to impact your training program with creative games? A primer for leadership...
Our collaboration on the research area, strategic cooperative game theory
with asymmetric information, started around the spring of 2000, and
progressed substantially from July 2001 through September 2002 when Ichiishi
was visiting Hitotsubashi University (Yamazaki's affiliation). Through
innumerable discussions during this...
I became interested in investing in biotech in the late 80s while I was a
Ph.D. candidate in the Biochemistry Department at the University of
California, Riverside, in an adjunct molecular endocrinology laboratory of
UCLA School of Medicine. After I finished the doctoral degree, I moved to
New York in 1993 and worked at the...
Volume IV continues the author's odyssey on l-D cellular automata as chronicled in Volumes I, II and III, by uncovering a novel quasi-ergodicity phenomenon involving orbits meandering among omega-limit orbits of complex (group 5) and hyper (group 6) Bernoulli rules. This discovery is embellished with analytical formulas characterizing the...
Tissue engineering integrates knowledge and tools from biological sciences and engineering for tissue regeneration. A challenge for tissue engineering is to identify appropriate cell sources. The recent advancement of stem cell biology provides enormous opportunities to engineer stem cells for tissue engineering. The impact of stem cell...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is...
This book provides comprehensive coverage of practical Fourier analysis. It develops the concepts right from the basics and gradually guides the reader to the advanced topics. It presents the latest and practically efficient DFT algorithms, as well as the computation of discrete cosine and Walsh-Hadamard transforms. The large numbers of...
The purpose of this proceedings volume is to return to the starting point of bio-informatics and quantum information, fields that are growing rapidly at present, and to seriously attempt mutual interaction between the two, with a view to enumerating and solving the many fundamental problems they entail. For such a purpose, we look for...
