Nature-inspired intelligent techniques for solving biomedical engineering problems:
"This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intellige...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intelligence and nature-inspired techniques on ensuring effective and efficient solutions for encountered biomedical engineering based problems"--Provided by publisher. |
| Beschreibung: | 28 PDFs (xxx, 381 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522547709 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 024 | 7 | |a 10.4018/978-1-5225-4769-3 |2 doi | |
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| 245 | 0 | 0 | |a Nature-inspired intelligent techniques for solving biomedical engineering problems |c Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 28 PDFs (xxx, 381 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intelligence and nature-inspired techniques on ensuring effective and efficient solutions for encountered biomedical engineering based problems"--Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/08/2018). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Biological models. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Bionics. | |
| 650 | 1 | 2 | |a Biomedical Engineering |x methods |
| 650 | 2 | 2 | |a Artificial Intelligence |
| 650 | 2 | 2 | |a Bionics |
| 650 | 2 | 2 | |a Models, Biological |
| 700 | 1 | |a Deperlioglu, Omer |d 1967- |e editor. | |
| 700 | 1 | |a Guraksin, Gur Emre |d 1980- |e editor. | |
| 700 | 1 | |a Kose, Utku |d 1985- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017032791 | |
| 776 | 0 | 8 | |i Print version: |z 152254769X |z 9781522547693 |w (DLC) 2017032791 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00185481 |
|---|---|
| _version_ | 1804751456255868928 |
| adam_text | |
| any_adam_object | |
| author2 | Deperlioglu, Omer 1967- Guraksin, Gur Emre 1980- Kose, Utku 1985- |
| author2_role | edt edt edt |
| author2_variant | o d od g e g ge geg u k uk |
| author_facet | Deperlioglu, Omer 1967- Guraksin, Gur Emre 1980- Kose, Utku 1985- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | R - Medicine |
| callnumber-label | R857 |
| callnumber-raw | R857.M3 N38 2018e |
| callnumber-search | R857.M3 N38 2018e |
| callnumber-sort | R 3857 M3 N38 42018E |
| callnumber-subject | R - General Medicine |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies. |
| ctrlnum | (CaBNVSL)slc19778001 (DNLM)101709102 (OCoLC)1028074827 |
| dewey-full | 610.28 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.28 |
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| dewey-sort | 3610.28 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00185481 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:51:51Z |
| institution | BVB |
| isbn | 9781522547709 |
| language | English |
| oclc_num | 1028074827 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 28 PDFs (xxx, 381 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global, |
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| spelling | Nature-inspired intelligent techniques for solving biomedical engineering problems Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 28 PDFs (xxx, 381 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies. Restricted to subscribers or individual electronic text purchasers. "This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intelligence and nature-inspired techniques on ensuring effective and efficient solutions for encountered biomedical engineering based problems"--Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/08/2018). Artificial intelligence. Biological models. Biomedical engineering. Bionics. Biomedical Engineering methods Artificial Intelligence Bionics Models, Biological Deperlioglu, Omer 1967- editor. Guraksin, Gur Emre 1980- editor. Kose, Utku 1985- editor. IGI Global, publisher. (Original) (DLC)2017032791 Print version: 152254769X 9781522547693 (DLC) 2017032791 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3 Volltext |
| spellingShingle | Nature-inspired intelligent techniques for solving biomedical engineering problems Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies. Artificial intelligence. Biological models. Biomedical engineering. Bionics. Biomedical Engineering methods Artificial Intelligence Bionics Models, Biological |
| title | Nature-inspired intelligent techniques for solving biomedical engineering problems |
| title_auth | Nature-inspired intelligent techniques for solving biomedical engineering problems |
| title_exact_search | Nature-inspired intelligent techniques for solving biomedical engineering problems |
| title_full | Nature-inspired intelligent techniques for solving biomedical engineering problems Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. |
| title_fullStr | Nature-inspired intelligent techniques for solving biomedical engineering problems Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. |
| title_full_unstemmed | Nature-inspired intelligent techniques for solving biomedical engineering problems Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. |
| title_short | Nature-inspired intelligent techniques for solving biomedical engineering problems |
| title_sort | nature inspired intelligent techniques for solving biomedical engineering problems |
| topic | Artificial intelligence. Biological models. Biomedical engineering. Bionics. Biomedical Engineering methods Artificial Intelligence Bionics Models, Biological |
| topic_facet | Artificial intelligence. Biological models. Biomedical engineering. Bionics. Biomedical Engineering methods Artificial Intelligence Bionics Models, Biological |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3 |
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