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Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics 2022 ed. [Minkštas viršelis]

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  • Formatas: Paperback / softback, 445 pages, aukštis x plotis: 235x155 mm, weight: 694 g, 129 Illustrations, color; 42 Illustrations, black and white; X, 445 p. 171 illus., 129 illus. in color., 1 Paperback / softback
  • Serija: Women in Engineering and Science
  • Išleidimo metai: 15-Apr-2023
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030790940
  • ISBN-13: 9783030790943
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 445 pages, aukštis x plotis: 235x155 mm, weight: 694 g, 129 Illustrations, color; 42 Illustrations, black and white; X, 445 p. 171 illus., 129 illus. in color., 1 Paperback / softback
  • Serija: Women in Engineering and Science
  • Išleidimo metai: 15-Apr-2023
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030790940
  • ISBN-13: 9783030790943
Kitos knygos pagal šią temą:
This book provides a breadth of innovative and impactful research in the field computational intelligence led by women investigators. Topics include intelligent data analytics, optimization of complex systems, approximation of human reasoning, robotic path planning, and intelligent control systems. These topics touch on many of the technological challenges facing the world today and these solutions by women researcher teams are valuable for their excellence and their non-traditional perspective. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in computational intelligence, inspiring women and men, girls, and boys to enter and apply themselves to this exciting multi-disciplinary field.

Chapter
1. Amazing Grace Computer Pioneer Admiral Grace Murray
Hopper.
Chapter
2. XAI: A Natural Application Domain for Fuzzy Set Theory .-
Chapter
3. Adaptive Physiological Profiling from Non-verbal Behaviour Why
Ethics are Just Not Enough to Build Trust.
Chapter
4. Conversational
Intelligent Tutoring Systems - The State of the Art.
Chapter
5. Design and
Validation of a Mini-game for Player Motive Profiling.
Chapter
6. When AI
Meets Digital Pathology.
Chapter
7. Linguistic Intelligence as a Root for
Computing Reasoning.
Chapter
8. Intrusion Detection: Deep Neural Networks
versus Super Learning.
Chapter
9. Life-Long Learning Machines: Towards
Developing Optimisation Methods That Continually Learn.
Chapter
10.
Reinforcement Learning Control by Direct Heuristic Dynamic Programming.-
Chapter
11. Distributed Machine Learning for Energy Management and Control in
Smart Grid.
Chapter
12. Fuzzy Multilayer Perceptrons for Fuzzy Vector
Regression.
Chapter
13. Generalisation in Genetic Programming for Symbolic
Regression: Challenges and Future Directions.
Chapter
14. Neuro-evolutionary
Models based on Quantum-Inspired Evolutionary Algorithms.
Chapter
15.
Weightless Neural Models: An Overview.
Chapter
16. Challenges of Applying
Dynamic Multi-objective Optimization to Real-world Problems.
Chapter
17.
Computational Intelligence Methodologies for Multi-Objective Optimization and
Decision-Making in Autonomous Systems.
Chapter
18. A Framework-Based
Approach for Flexible Evaluation of Swarm-Intelligent Algorithms.
Chapter
19. An Improved Bat Algorithm with a Dimension-based Best for Numerical
Optimization.
ALICE E. SMITH is the Joe W. Forehand/Accenture Distinguished Professor of the Industrial and Systems Engineering Department at Auburn University, where she served as Department Chair from 1999-2011.  She also has a joint appointment with the Department of Computer Science and Software Engineering.  Previously, she was on the faculty of the Department of Industrial Engineering at the University of Pittsburgh from 1991-99, which she joined after industrial experience with Southwestern Bell Corporation.  Dr. Smith has degrees from Rice University, Saint Louis University, and Missouri University of Science and Technology.  Dr. Smiths research focus is analysis, modeling, and optimization of complex systems with emphasis on computation inspired by natural systems.  She holds one U.S. patent and several international patents and has authored more than 200 publications which have garnered over nearly 13,000 citations and an H Index of 47 (Google Scholar) and nearly 5,000 citations and an H Index of 29 (Web of Science).  Dr. Smith is the Editor in Chief of INFORMS Journal on Computing and an Area Editor of Computers & Operations Research.  Dr. Smith has been a principal investigator on over $10 million of sponsored research with funding by NASA, U.S. Department of Defense, Missile Defense Agency, National Security Agency, NIST, U.S. Department of Transportation, Lockheed Martin, Adtranz (now Bombardier Transportation), the Ben Franklin Technology Center of Western Pennsylvania, and U.S. National Science Foundation, from which she has been awarded 18 distinct grants including a CAREER grant in 1995 and an ADVANCE Leadership grant in 2001.  In 2017, she received the inaugural Auburn University 100 Women Strong Leadership in Diversity Faculty Award.  Dr. Smith was awarded the Wellington Award in 2016, the IIE Albert G. Holzman Distinguished Educator Award in 2012, and the INFORMS WORMS Award for the Advancement of Womenin OR/MS in 2009.  Dr. Smith is a fellow of the Institute of Industrial and Systems Engineers (IISE), a fellow of the Institute of Electrical and Electronics Engineers (IEEE), a senior member of the Society of Women Engineers, a member of Tau Beta Pi and the Institute for Operations Research and Management Science (INFORMS), and a Registered Professional Engineer in Alabama and Pennsylvania.  She served as associate editor for two IEEE journals and is currently an IEEE Computational Intelligence Society Distinguished Lecturer and an INFORMS Official Speaker.  She was named a 2020 Yellowhammer Women of Impact (20 women are honored each year in the State of Alabama https://alabamawomen.org/#2020 ) and was named an INFORMS Diversity, Equity, and Inclusion Ambassador in 2021.