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Advances in Artificial Intelligence and Electronic Design Technologies [Kõva köide]

  • Formaat: Hardback, 589 pages, kõrgus x laius: 235x155 mm, 259 Illustrations, color; 46 Illustrations, black and white; XXXI, 589 p. 305 illus., 259 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 1015
  • Ilmumisaeg: 16-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031789172
  • ISBN-13: 9783031789175
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  • Kõva köide
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  • Formaat: Hardback, 589 pages, kõrgus x laius: 235x155 mm, 259 Illustrations, color; 46 Illustrations, black and white; XXXI, 589 p. 305 illus., 259 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 1015
  • Ilmumisaeg: 16-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031789172
  • ISBN-13: 9783031789175
Teised raamatud teemal:
This book showcases innovative approaches driving advancements in relevant fields such as smart manufacturing, Industry 5.0, and robotics. This edition of the Springer Studies in Computational Intelligence (SCI) Series explores cutting-edge applications of computational intelligence. Designed for engineers, industry professionals, and applied researchers, this book effectively bridges theory and real-world implementation.





Through a diverse collection of case studies and practical examples, readers will discover how computational intelligence techniques solve complex challenges across various sectors. The book offers actionable deployment strategies, empowering professionals to apply these concepts in their fields. This book cultivates a holistic approach to innovation and problem-solving by synthesizing diverse perspectives within computational intelligence.





This book is an essential resource for practitioners and researchers. It features hands-on implementation insights, comprehensive coverage of emerging trends, and a focus on industry-relevant techniques. It equips readers with the knowledge and tools to harness computational intelligence, tackle real-world challenges, and drive meaningful progress in their respective domains.





This book contains 50 papers pertaining to the abovementioned topics, providing a rich and diverse exploration of computational intelligence applications and methodologies.
Intelligence.- Immunity Booster Bangladeshi Medical Plants Recognition
Using CNN A Deep Learning Approach.- Seismic Data Quality Analysis Using
Fuzzy Logic.- Enhancing RFID Antenna Design XG Boost Driven Machine Learning
Optimization of Encapsulated Circular Loop Antenna.- Weed Detection and
Removal using Robotic Arm with Mask R-CNN.- GSTLB GPS Enabled Secured
Software Defined Network using Transfer Learning and Block Chain Technology
for Industrial IoT(IIoT).- Developing Image Deepfake Detection System Using
the MesoNet Algorithm A Comprehensive Approach.