Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

• #1. Towards an Intelligent Biomedical Engineering With Nature-Inspired Artificial Intelligence Techniques
• #2. Coupling of Optimization Algorithms Based on Swarm Intelligence: An Application for Control of Heroin Addiction Epidemic
• #3. Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering
• #4. Performance of Negative Selection Algorithms in Patient Detection and Classification
• #5. Differential Diagnosis of Erythematous Squamous Diseases With Feature Selection and Classification Algorithms
• #6. A General Medical Diagnosis System Formed by Artificial Neural Networks and Swarm Intelligence Techniques
• #7. Artificial Intelligence Applications on Classification of Heart Sounds
• #8. A Sample Application for Computer-Based Bacteria Counting by Using Watershed Transform
• #9. Diabetes Diagnosis System Based on Support Vector Machines Trained by Vortex Optimization Algorithm
• #10. Artificial Intelligence Ethics in Biomedical-Engineering-Oriented Problems
• #11. Prediction of Electroencephalogram Time Series via Artificial Neuro-Fuzzy Inference System Trained by League Championship Algorithm
• #12. Determining Headache Diseases With Genetic Algorithm
• #13. Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering
• #14. Deep Learning and Biomedical Engineering
• #15. Intelligent Biomedical Engineering Operations by Cloud Computing Technologies

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.