{ "item_title" : "Recent Advances and Applications of Machine Learning in Metal Forming Processes", "item_author" : [" Pedro Prates", "Andre Pereira "], "item_description" : "Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as: Classification, detection and prediction of forming defects;Material parameters identification;Material modelling;Process classification and selection;Process design and optimization.The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/655/771/3036557717_b.jpg", "price_data" : { "retail_price" : "82.48", "online_price" : "82.48", "our_price" : "82.48", "club_price" : "82.48", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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