03642nam a22005775i 4500 978-3-031-44706-8 DE-He213 20251030110856.0 cr nn 008mamaa 231218s2024 sz | s |||| 0|eng d 9783031447068 978-3-031-44706-8 10.1007/978-3-031-44706-8 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Women in Soft Computing [electronic resource] / edited by Vanita Garg, Kusum Deep, Valentina E. Balas. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 156 p. 27 illus., 22 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Women in Engineering and Science, 2509-6435 Introduction -- Object Identification using Neural Networks -- Feature Extraction Techniques -- Fuzzy Scoring Theory Applied to Team-Peer Assessment -- Cancer Detection and diagnosis using soft computing techniques -- Biogeography Based Algorithm for Solving Wind farm energy problem -- Mechanical engineering optimization problems solving using soft computing approach -- Classification of Plants Leave Using Image Processing -- Differential Evolution Algorithm for solving nonlinear optimization problem -- Discrete Grey Wolf Optimization Algorithm -- Constrained Teaching Learning Algorithm for real life problems -- Conclusion. This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field. Artificial intelligence. 58441 Computational intelligence. 64052 Women History. 68068 Artificial Intelligence. 58441 Computational Intelligence. 64052 Women's History / History of Gender. 68069 Garg, Vanita. editor. edt http://id.loc.gov/vocabulary/relators/edt 68362 Deep, Kusum. editor. edt http://id.loc.gov/vocabulary/relators/edt 68363 Balas, Valentina E. editor. edt http://id.loc.gov/vocabulary/relators/edt 68364 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031447051 Printed edition: 9783031447075 Printed edition: 9783031447082 Women in Engineering and Science, 2509-6435 68073 https://doi.org/10.1007/978-3-031-44706-8 ZDB-2-SCS ZDB-2-SXCS 56852 56852