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{ "item_title" : "Computer-Aided Manufacturing and Design", "item_author" : [" Qi Zhou", "Seung-Kyum Choi", "Recep M. Gorguluarslan "], "item_description" : "Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, artificial intelligence (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/943/134/303943134X_b.jpg", "price_data" : { "retail_price" : "55.40", "online_price" : "55.40", "our_price" : "55.40", "club_price" : "55.40", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer-Aided Manufacturing and Design|Qi Zhou

Computer-Aided Manufacturing and Design

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Overview

Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.

Details

  • ISBN-13: 9783039431342
  • ISBN-10: 303943134X
  • Publisher: Mdpi AG
  • Publish Date: November 2020
  • Dimensions: 9.61 x 6.69 x 0.69 inches
  • Shipping Weight: 1.39 pounds
  • Page Count: 198

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