The classification and localization of crack using lightweight convolutional neural network with CBAM

Hurricane damage assessment using coupled convolutional neural networks: a case study of hurricane Michael

(2022) Polina Berezina et al.   Geomatics Natural Hazards & Risk

Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment

(2022) Hesham Tarek et al.   Electronics

Deep learning and infrared thermography for asphalt pavement crack severity classification

(2022) Fangyu Liu et al.   AUTOMATION IN CONSTRUCTION

CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays

(2022) Subhrajit Dey et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Imbalanced Dataset and Class Overlapping Classification Model for Big Data

(2022) Mini Prince et al.   COMPUTER SYSTEMS SCIENCE AND ENGINEERING

Surface crack detection using deep learning with shallow CNN architecture for enhanced computation

(2021) Bubryur Kim et al.   NEURAL COMPUTING & APPLICATIONS

Concrete Crack Detection Based on Well-Known Feature Extractor Model and the YOLO_v2 Network

(2021) Shuai Teng et al.   Applied Sciences-Basel

Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures

(2021) Luqman Ali et al.   SENSORS

Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

(2021) Dimitris Dais et al.   AUTOMATION IN CONSTRUCTION

A deep learning approach for fast detection and classification of concrete damage

(2021) Yongqing Jiang et al.   AUTOMATION IN CONSTRUCTION

Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss

(2021) Yi Lu et al.   Biomedical Signal Processing and Control

Enhancement of Multi-Class Structural Defect Recognition Using Generative Adversarial Network

(2021) Hyunkyu Shin et al.   Sustainability

Hard Sample Aware Noise Robust Learning for Histopathology Image Classification

(2021) Chuang Zhu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A systematic review of convolutional neural network-based structural condition assessment techniques

(2020) Sandeep Sony et al.   ENGINEERING STRUCTURES

A real-time detection approach for bridge cracks based on YOLOv4-FPM

(2020) Zhenwei Yu et al.   AUTOMATION IN CONSTRUCTION

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

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks

(2019) Mohamad Alipour et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling

(2019) Jingyu Li et al.   Remote Sensing

A New Buckling-Restrained Brace with a Variable Cross-Section Core

(2019) Liang Li et al.   Advances in Civil Engineering

Visual data classification in post-event building reconnaissance

(2018) Chul Min Yeum et al.   ENGINEERING STRUCTURES

Automatic classification of pavement crack using deep convolutional neural network

(2018) Baoxian Li et al.   International Journal of Pavement Engineering

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

(2018) Allen Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle

(2018) In-Ho Kim et al.   SENSORS

Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images

(2018) Niannian Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS