Automaton Theory and Modeling of Biological Systems. Translated by Scitran (Scientific Translation Service)
Author: M. L. Tsetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: M. L. Tsetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKAuthor: Mikhail Lvovich Tsetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKAuthor: Mikhail Lvovich Tsetlin
Publisher:
Published: 1973
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKAuthor: Tsetlin
Publisher: Academic Press
Published: 1974-02-08
Total Pages: 305
ISBN-13: 0080956114
DOWNLOAD EBOOKAutomation Theory and Modeling of Biological Systems
Author: Andreas Deutsch
Publisher: Springer Science & Business Media
Published: 2007-12-26
Total Pages: 331
ISBN-13: 0817644156
DOWNLOAD EBOOKThis book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling.
Author: Mikhail Lʹvovich T︠S︡etlin
Publisher:
Published: 1973
Total Pages: 316
ISBN-13:
DOWNLOAD EBOOKAutomation theory and modeling of biological systems.
Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
Published: 1975
Total Pages: 1318
ISBN-13:
DOWNLOAD EBOOKAuthor: Alla Kravets
Publisher: Springer
Published: 2015-09-11
Total Pages: 860
ISBN-13: 3319237667
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the First Conference on Creativity in Intelligent Technologies and Data Science, CIT&DS 2015, held in Volgograd, Russia, in September 2015. The 66 revised full papers and two short papers presented were carefully reviewed and selected from 208 submissions. The papers are organized in topical sections on computational creativity for science and design; knowledge discovery in patent and open sources for creative tasks; software computer-aided design and agent-based systems; conceptual, cognitive and qualitative modeling with application in intelligent decision making; design creativity in CAD/CAM/CAE/PDM; intelligent decision support for continual improvement process; data science in energy management, transportation and urban development; data science in social networks analysis; natural language and image processing and analysis; game-based learning technologies in engineering education and educational games design; personalized learning in Web-based intelligent educational systems; e-inclusion: development of smart mobile applications for people with disabilities.
Author: Samia Bouzefrane
Publisher: Springer Nature
Published: 2021-01-19
Total Pages: 260
ISBN-13: 3030675505
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Mobile, Secure and Programmable Networking, held in Paris, France, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 31 submissions. They discuss new trends in networking infrastructures, security, services and applications while focusing on virtualization and cloud computing for networks, network programming, software defined networks (SDN) and their security.
Author: Andreas Deutsch
Publisher: Birkhäuser
Published: 2018-03-09
Total Pages: 470
ISBN-13: 1489979808
DOWNLOAD EBOOKThis text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. QR codes are included within the text for easy access to the simulator. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION “An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results.” —Mathematical Reviews