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{ "item_title" : "Recent Advances and Emerging Challenges in Stem", "item_author" : [" Yadir Torres", "Ana M. Beltran", "Manuel Felix "], "item_description" : "This book covers the works presented at the workshop aimed at bridging academia, industry, and society, fostering collaboration among lecturers, technicians, researchers, and students. It delves into functional materials, tribo-mechanical behavior, bio-residues, and biopolymers. Some chapters explore computer architecture, artificial intelligence, smart cities, sustainable industries, and life cycle assessment. Additionally, the book addresses emerging pollutants, cellular and bacterial behavior, powder technology, applied physics, applied mathematics, industrial and environmental chemistry, product design, industrial robotic systems, and deep learning systems. ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/164/105/3031641051_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Recent Advances and Emerging Challenges in Stem|Yadir Torres

Recent Advances and Emerging Challenges in Stem : Selected Work from the X Workshop in R&d+i & 2nd International Workshop on Stem of EPS

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Overview

This book covers the works presented at the workshop aimed at bridging academia, industry, and society, fostering collaboration among lecturers, technicians, researchers, and students. It delves into functional materials, tribo-mechanical behavior, bio-residues, and biopolymers. Some chapters explore computer architecture, artificial intelligence, smart cities, sustainable industries, and life cycle assessment. Additionally, the book addresses emerging pollutants, cellular and bacterial behavior, powder technology, applied physics, applied mathematics, industrial and environmental chemistry, product design, industrial robotic systems, and deep learning systems.

This item is Non-Returnable

Details

  • ISBN-13: 9783031641053
  • ISBN-10: 3031641051
  • Publisher: Springer
  • Publish Date: August 2024
  • Dimensions: 9.21 x 6.14 x 1.38 inches
  • Shipping Weight: 2.4 pounds
  • Page Count: 641

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