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"--
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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"-- |
| Physical Description: | 23 PDFs (334 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369352779 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 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 Seiten) | ||
| 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 |
| 966 | 4 | 0 | |l DE-862 |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 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
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|---|---|
| _version_ | 1826942603576213504 |
| 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 |
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| 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 |
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| dewey-search | 658.4/03028563 |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00339684 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369352779 |
| language | English |
| oclc_num | 1434591039 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 23 PDFs (334 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
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| publisher | IGI Global |
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| 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 Seiten) 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 |
| 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. |
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