News

IEEE1mon
Drone-Based Wall Crack Detection Using Model-Agnostic Meta-Learning
Abstract: With the urbanization process and aging of buildings, wall crack detection plays a crucial role in the maintenance and safety of building structures. Due to the inherent characteristics of ...
IEEE2mon
Resource-Efficient CNN Based Atrial Fibrillation Detection Using P-wave and RR Interval Features for Edge-AI Cardiac Health Monitoring Devices
The 1D-CNN-based AF detection methods are tested with two untrained datasets (2-lead and 12-lead) and 20% of the trained dataset. The optimal trade-off between performance and computational complexity ...
IEEE2mon
Robust Scream Detection and Scream Temporal Interval Prediction Using CNN-Transformer and Windowing CNN
Abstract: Detecting screams in noisy environments remains an important challenge in emergency detection ... The proposed system employs parallel CNN blocks for robust feature extraction alongside a ...
SciELO3mon
Application of machine learning for crack detection on concrete structures using CNN architecture
This research aims at applying machine learning based on VGG16-Net model for the detection of cracks in concrete structures. The proposed model is of CNN (convolutional neural network) + VGG neural ...