Deep Learning in Computational Design Synthesis: A Comprehensive Review
Shubhendu Kumar Singh,
Rahul Rai,
Raj Pradip Khawale
et al.
Abstract:A paradigm shift in the computational design synthesis domain is being witnessed by the onset of the innovative usage of machine learning techniques. The rapidly evolving paradigmatic shift calls for systematic and comprehensive assimilation of extant knowledge at the intersection of machine learning and computational design synthesis. Understanding nuances, identifying research gaps, and outlining the future direction for cutting-edge research is imperative. This paper outlines a hybrid literature review cons… Show more
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