Predicting Concrete Compressive Strength using Deep Convolutional Neural Network based on Image Characteristics
Source abstract
Abstract
In this study, we examined the efficacy of a deep convolutional neural network (DCNN) in recognizing concrete surface images and predicting the compressive strength of concrete. A digital single-lens reflex (DSLR) camera ... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Smart Agriculture and AI · Advanced Neural Network Applications
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