Analyzing the pore structure of pervious concrete based on the deep learning framework of Mask R-CNN

Instance segmentation of apple flowers using the improved mask R–CNN model

(2020) Yunong Tian et al.   BIOSYSTEMS ENGINEERING

Investigation on the mechanical properties and environmental impacts of pervious concrete containing fly ash based on the cement-aggregate ratio

(2019) Hanbing Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

Study on the pores characteristics and permeability simulation of pervious concrete based on 2D/3D CT images

(2019) Fan Yu et al.   CONSTRUCTION AND BUILDING MATERIALS

Quick image analysis of concrete pore structure based on deep learning

(2019) Shuangxi Zhou et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of aggregate size on compressive strength of pervious concrete

(2019) Fan Yu et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

(2019) Juan C. Caicedo et al.   CYTOMETRY PART A

Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks

(2019) Tao Wan et al.   NEUROCOMPUTING

Computer vision-based concrete crack detection using U-net fully convolutional networks

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

(2019) Yang Yu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming

(2019) Yongliang Qiao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Densely connected deep neural network considering connectivity of pixels for automatic crack detection

(2019) Qipei Mei et al.   AUTOMATION IN CONSTRUCTION

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

(2019) Qikui Zhu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Linking pore system characteristics to the compressive behavior of pervious concrete

(2016) Rui Zhong et al.   CEMENT & CONCRETE COMPOSITES

Influence of pore tortuosity on hydraulic conductivity of pervious concrete: Characterization and modeling

(2016) Rui Zhong et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of different substitution of natural aggregate by recycled aggregate on performance characteristics of pervious concrete

(2014) Erhan Güneyisi et al.   MATERIALS AND STRUCTURES

Strength, fracture and fatigue of pervious concrete

(2013) Yu Chen et al.   CONSTRUCTION AND BUILDING MATERIALS

Pore-structure models of hydraulic conductivity for permeable pavement

(2011) X. Kuang et al.   JOURNAL OF HYDROLOGY

Compressive behavior of pervious concretes and a quantification of the influence of random pore structure features

(2010) Omkar Deo et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Cement paste characteristics and porous concrete properties

(2007) P. Chindaprasirt et al.   CONSTRUCTION AND BUILDING MATERIALS