Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
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Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

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Release Date: March, 2018|Copyright: © 2018 |Pages: 381
DOI: 10.4018/978-1-5225-4769-3
ISBN13: 9781522547693|ISBN10: 152254769X|EISBN13: 9781522547709
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Description & Coverage
Description:

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Immune System
  • Artificial Intelligence
  • Clinical Decision Support Systems
  • Counting Bacteria
  • Differential Diagnosis
  • Swarm Intelligence
  • Watershed Transformation
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Editor/Author Biographies
Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012 and as a Lecturer and Research Center Director in Usak University between 2012 and 2017. Currently, he is an Assistant Professor in Suleyman Demirel University, Turkey. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.
Gur Emre Guraksin received the B.S. degree in 2005 from computer engineering of Atilim University, Turkey. Following that, he had his M.S. degree in 2009 from Afyon Kocatepe University, Turkey in the field of computer and PhD. degree in 2015 from computer engineering of Selcuk University, Turkey. He has worked as RAN/NMC Engineer at Telsim Telecom, Istanbul and as a Research Assistant at Afyon Kocatepe University, Turkey before. Currently, he is an Assistant Professor at the department of biomedical engineering at the same university. His research interest includes artificial intelligence, biomedical engineering, image processing, data mining, and computer science.
Omer Deperlioglu received the B.S. degree in 1988 from the electrical education of Gazi University, in Turkey. He received M.S. degree in 1996 from Afyon Kocatepe University, Turkey and he completed Ph. D. degree in 2001 at Gazi University in field of controlling switch-mode dc-dc converters with neuro-fuzzy system. He is currently an Associate Professor in the Afyon Kocatepe University, in Turkey. His research interest includes computer-based control systems, fuzzy logic control, neuro-fuzzy control, power electronics, distance education and e-learning.
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