Jiang Xin

AI technologies for education: Recent research & future directions

Current methods in electrocardiogram characterization

Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types

Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network

Road Crack Detection Using Visual Features Extracted by Gabor Filters

Fractal Dimension Analysis of Higher‐Order Mode Shapes for Damage Identification of Beam Structures

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Object Recognition-Based Second Language Learning Educational Robot System for Chinese Preschool Children

GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition

Hybrid Physical Education Teaching and Curriculum Design Based on a Voice Interactive Artificial Intelligence Educational Robot

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education

Crack Detection from the Slope of the Mode Shape Using Complex Continuous Wavelet Transform

Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks