Bio-inspired intelligence for smart decision-making:
"The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bikrishanm o-inspired approaches and their potential to revolutionize the scholarly landscape"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bikrishanm o-inspired approaches and their potential to revolutionize the scholarly landscape"-- |
| Beschreibung: | 23 PDFs (334 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369352779 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00339684 | ||
| 003 | IGIG | ||
| 005 | 20240521190106.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240517s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369352779 |q PDF | ||
| 020 | |z 9798369352762 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-5276-2 |2 doi | |
| 035 | |a (CaBNVSL)slc00005963 | ||
| 035 | |a (OCoLC)1434591039 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a TA345 |b .B484 2024e | |
| 082 | 7 | |a 658.4/03028563 |2 23 | |
| 245 | 0 | 0 | |a Bio-inspired intelligence for smart decision-making |c edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 23 PDFs (334 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. Internet of traffic surveillance system (IoTSS) with genetic algorithm for optimized weather-adaptive traffic monitoring -- Chapter 2. Multifunctional and multistandard compact antenna design using hybridization of fractals and artificial neural network -- Chapter 3. Unraveling nature's evolutionary optimization strategic algorithms -- Chapter 4. Bio-inspired metaheuristic algorithm for network intrusion detection system of architecture -- Chapter 5. Case studies and practical implementation of biomimicry in bio-inspired optimization -- Chapter 6. Intelligent decision making through bio-inspired optimization: genetic algorithms and decision making -- Chapter 7. Conversational techniques using artificial intelligence for customer support -- Chapter 8. WDWWO combined NN and its application to handover in heterogeneous networks -- Chapter 9. Role of bioinspired optimization algorithms in medical image steganography for healthcare applications -- Chapter 10. Hybrid approaches combining bio-inspired optimization with machine learning in intrusion detection -- Chapter 11. Challenges and future prospects of intelligent decision making -- Chapter 12. Nature-inspired algorithms for problem solving: a deep dive into computational intelligence -- Chapter 13. Demystifying mathematical principles in swarm intelligence with r -- Chapter 14. Performance evaluation of genetic algorithm for medical image retrieval -- Chapter 15. Prediction of different diseases in upper abdominal organs using machine learning approach. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bikrishanm o-inspired approaches and their potential to revolutionize the scholarly landscape"-- |c 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 05/17/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Decision making |x Data processing. | |
| 650 | 0 | |a Natural computation. | |
| 653 | |a Adaptive Decision-Making with Evolutionary Strategies. | ||
| 653 | |a Ant Colony Optimization and its Applications in Decision-Making. | ||
| 653 | |a Case Studies in Bio-Inspired Decision-Making: Finance, Engineering, and Healthcare. | ||
| 653 | |a Dynamic Decision-Making with Nature-Inspired Algorithms. | ||
| 653 | |a Foundations of Evolutionary Algorithms. | ||
| 653 | |a Future Perspectives and Emerging Trends in Intelligent Decision-Making. | ||
| 653 | |a Genetic Algorithms for Decision Optimization. | ||
| 653 | |a Hybrid Approaches: Combining Bio-Inspired Optimization with Machine Learning. | ||
| 653 | |a Introduction to Bio-Inspired Optimization and Decision-Making. | ||
| 653 | |a Particle Swarm Optimization for Decision Support. | ||
| 653 | |a Swarm Intelligence and Collective Decision-Making. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Jaganathan, Ramkumar |d 1986- |e editor. | |
| 700 | 1 | |a Krishan, Ram, |e editor. | |
| 700 | 1 | |a Mehta, Shilpa |d 1987- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369352762 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5276-2 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00339684 |
|---|---|
| _version_ | 1816797088208388097 |
| adam_text | |
| any_adam_object | |
| author2 | Jaganathan, Ramkumar 1986- Krishan, Ram Mehta, Shilpa 1987- |
| author2_role | edt edt edt |
| author2_variant | r j rj r k rk s m sm |
| author_facet | Jaganathan, Ramkumar 1986- Krishan, Ram Mehta, Shilpa 1987- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA345 |
| callnumber-raw | TA345 .B484 2024e |
| callnumber-search | TA345 .B484 2024e |
| callnumber-sort | TA 3345 B484 42024E |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Internet of traffic surveillance system (IoTSS) with genetic algorithm for optimized weather-adaptive traffic monitoring -- Chapter 2. Multifunctional and multistandard compact antenna design using hybridization of fractals and artificial neural network -- Chapter 3. Unraveling nature's evolutionary optimization strategic algorithms -- Chapter 4. Bio-inspired metaheuristic algorithm for network intrusion detection system of architecture -- Chapter 5. Case studies and practical implementation of biomimicry in bio-inspired optimization -- Chapter 6. Intelligent decision making through bio-inspired optimization: genetic algorithms and decision making -- Chapter 7. Conversational techniques using artificial intelligence for customer support -- Chapter 8. WDWWO combined NN and its application to handover in heterogeneous networks -- Chapter 9. Role of bioinspired optimization algorithms in medical image steganography for healthcare applications -- Chapter 10. Hybrid approaches combining bio-inspired optimization with machine learning in intrusion detection -- Chapter 11. Challenges and future prospects of intelligent decision making -- Chapter 12. Nature-inspired algorithms for problem solving: a deep dive into computational intelligence -- Chapter 13. Demystifying mathematical principles in swarm intelligence with r -- Chapter 14. Performance evaluation of genetic algorithm for medical image retrieval -- Chapter 15. Prediction of different diseases in upper abdominal organs using machine learning approach. |
| ctrlnum | (CaBNVSL)slc00005963 (OCoLC)1434591039 |
| dewey-full | 658.4/03028563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/03028563 |
| dewey-search | 658.4/03028563 |
| dewey-sort | 3658.4 73028563 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04418nam a2200601 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00339684</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240521190106.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240517s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369352779</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369352762</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-5276-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005963</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1434591039</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA345</subfield><subfield code="b">.B484 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">658.4/03028563</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Bio-inspired intelligence for smart decision-making </subfield><subfield code="c">edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">2024.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">23 PDFs (334 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Chapter 1. Internet of traffic surveillance system (IoTSS) with genetic algorithm for optimized weather-adaptive traffic monitoring -- Chapter 2. Multifunctional and multistandard compact antenna design using hybridization of fractals and artificial neural network -- Chapter 3. Unraveling nature's evolutionary optimization strategic algorithms -- Chapter 4. Bio-inspired metaheuristic algorithm for network intrusion detection system of architecture -- Chapter 5. Case studies and practical implementation of biomimicry in bio-inspired optimization -- Chapter 6. Intelligent decision making through bio-inspired optimization: genetic algorithms and decision making -- Chapter 7. Conversational techniques using artificial intelligence for customer support -- Chapter 8. WDWWO combined NN and its application to handover in heterogeneous networks -- Chapter 9. Role of bioinspired optimization algorithms in medical image steganography for healthcare applications -- Chapter 10. Hybrid approaches combining bio-inspired optimization with machine learning in intrusion detection -- Chapter 11. Challenges and future prospects of intelligent decision making -- Chapter 12. Nature-inspired algorithms for problem solving: a deep dive into computational intelligence -- Chapter 13. Demystifying mathematical principles in swarm intelligence with r -- Chapter 14. Performance evaluation of genetic algorithm for medical image retrieval -- Chapter 15. Prediction of different diseases in upper abdominal organs using machine learning approach.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bikrishanm o-inspired approaches and their potential to revolutionize the scholarly landscape"--</subfield><subfield code="c"> Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 05/17/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Decision making</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Natural computation.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Adaptive Decision-Making with Evolutionary Strategies.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ant Colony Optimization and its Applications in Decision-Making.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Case Studies in Bio-Inspired Decision-Making: Finance, Engineering, and Healthcare.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Dynamic Decision-Making with Nature-Inspired Algorithms.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Foundations of Evolutionary Algorithms.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Future Perspectives and Emerging Trends in Intelligent Decision-Making.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Genetic Algorithms for Decision Optimization.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hybrid Approaches: Combining Bio-Inspired Optimization with Machine Learning.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Introduction to Bio-Inspired Optimization and Decision-Making.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Particle Swarm Optimization for Decision Support.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Swarm Intelligence and Collective Decision-Making.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jaganathan, Ramkumar</subfield><subfield code="d">1986-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krishan, Ram,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mehta, Shilpa</subfield><subfield code="d">1987-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">9798369352762</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5276-2</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00339684 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369352779 |
| language | English |
| oclc_num | 1434591039 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 23 PDFs (334 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Bio-inspired intelligence for smart decision-making edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 23 PDFs (334 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Internet of traffic surveillance system (IoTSS) with genetic algorithm for optimized weather-adaptive traffic monitoring -- Chapter 2. Multifunctional and multistandard compact antenna design using hybridization of fractals and artificial neural network -- Chapter 3. Unraveling nature's evolutionary optimization strategic algorithms -- Chapter 4. Bio-inspired metaheuristic algorithm for network intrusion detection system of architecture -- Chapter 5. Case studies and practical implementation of biomimicry in bio-inspired optimization -- Chapter 6. Intelligent decision making through bio-inspired optimization: genetic algorithms and decision making -- Chapter 7. Conversational techniques using artificial intelligence for customer support -- Chapter 8. WDWWO combined NN and its application to handover in heterogeneous networks -- Chapter 9. Role of bioinspired optimization algorithms in medical image steganography for healthcare applications -- Chapter 10. Hybrid approaches combining bio-inspired optimization with machine learning in intrusion detection -- Chapter 11. Challenges and future prospects of intelligent decision making -- Chapter 12. Nature-inspired algorithms for problem solving: a deep dive into computational intelligence -- Chapter 13. Demystifying mathematical principles in swarm intelligence with r -- Chapter 14. Performance evaluation of genetic algorithm for medical image retrieval -- Chapter 15. Prediction of different diseases in upper abdominal organs using machine learning approach. Restricted to subscribers or individual electronic text purchasers. "The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bikrishanm o-inspired approaches and their potential to revolutionize the scholarly landscape"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Artificial intelligence. Decision making Data processing. Natural computation. Adaptive Decision-Making with Evolutionary Strategies. Ant Colony Optimization and its Applications in Decision-Making. Case Studies in Bio-Inspired Decision-Making: Finance, Engineering, and Healthcare. Dynamic Decision-Making with Nature-Inspired Algorithms. Foundations of Evolutionary Algorithms. Future Perspectives and Emerging Trends in Intelligent Decision-Making. Genetic Algorithms for Decision Optimization. Hybrid Approaches: Combining Bio-Inspired Optimization with Machine Learning. Introduction to Bio-Inspired Optimization and Decision-Making. Particle Swarm Optimization for Decision Support. Swarm Intelligence and Collective Decision-Making. Electronic books. Jaganathan, Ramkumar 1986- editor. Krishan, Ram, editor. Mehta, Shilpa 1987- editor. IGI Global, publisher. Print version: 9798369352762 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5276-2 Volltext |
| spellingShingle | Bio-inspired intelligence for smart decision-making Chapter 1. Internet of traffic surveillance system (IoTSS) with genetic algorithm for optimized weather-adaptive traffic monitoring -- Chapter 2. Multifunctional and multistandard compact antenna design using hybridization of fractals and artificial neural network -- Chapter 3. Unraveling nature's evolutionary optimization strategic algorithms -- Chapter 4. Bio-inspired metaheuristic algorithm for network intrusion detection system of architecture -- Chapter 5. Case studies and practical implementation of biomimicry in bio-inspired optimization -- Chapter 6. Intelligent decision making through bio-inspired optimization: genetic algorithms and decision making -- Chapter 7. Conversational techniques using artificial intelligence for customer support -- Chapter 8. WDWWO combined NN and its application to handover in heterogeneous networks -- Chapter 9. Role of bioinspired optimization algorithms in medical image steganography for healthcare applications -- Chapter 10. Hybrid approaches combining bio-inspired optimization with machine learning in intrusion detection -- Chapter 11. Challenges and future prospects of intelligent decision making -- Chapter 12. Nature-inspired algorithms for problem solving: a deep dive into computational intelligence -- Chapter 13. Demystifying mathematical principles in swarm intelligence with r -- Chapter 14. Performance evaluation of genetic algorithm for medical image retrieval -- Chapter 15. Prediction of different diseases in upper abdominal organs using machine learning approach. Artificial intelligence. Decision making Data processing. Natural computation. |
| title | Bio-inspired intelligence for smart decision-making |
| title_auth | Bio-inspired intelligence for smart decision-making |
| title_exact_search | Bio-inspired intelligence for smart decision-making |
| title_full | Bio-inspired intelligence for smart decision-making edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan. |
| title_fullStr | Bio-inspired intelligence for smart decision-making edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan. |
| title_full_unstemmed | Bio-inspired intelligence for smart decision-making edited by Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan. |
| title_short | Bio-inspired intelligence for smart decision-making |
| title_sort | bio inspired intelligence for smart decision making |
| topic | Artificial intelligence. Decision making Data processing. Natural computation. |
| topic_facet | Artificial intelligence. Decision making Data processing. Natural computation. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5276-2 |
| work_keys_str_mv | AT jaganathanramkumar bioinspiredintelligenceforsmartdecisionmaking AT krishanram bioinspiredintelligenceforsmartdecisionmaking AT mehtashilpa bioinspiredintelligenceforsmartdecisionmaking AT igiglobal bioinspiredintelligenceforsmartdecisionmaking |