Detecting slow-moving landslides using InSAR phase-gradient stacking and deep-learning network

L Fu, Q Zhang, T Wang, W Li, Q Xu… - Frontiers in Environmental …, 2022 - frontiersin.org
Landslides are a major geohazard that endangers human lives and properties. Recently,
efforts have been made to use Synthetic Aperture Radar Interferometry (InSAR) for landslide …

[HTML][HTML] Detection of dental caries in oral photographs taken by mobile phones based on the YOLOv3 algorithm

B Ding, Z Zhang, Y Liang, W Wang, S Hao… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background The aim of this study was to explore the value of using the YOLOv3 algorithm
for detection and diagnosis of dental caries in oral photographs taken with mobile phones …

Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention

X Wang, S Zhang, L Huang - Multimedia Tools and Applications, 2024 - Springer
Aircraft segmentation in remote sensing images (RSIs) is an important but challenging
problem for both civil and military applications. U-Net and its variants are widely used in RSI …

An Efficient Deep Learning Framework for Multimedia Big Data Analytics

GSP Ghantasala, LR Sudha, TV Priya… - … Systems and Virtual …, 2022 - taylorfrancis.com
The rapid growth in the computing and mobile technologies, the Internet, social media,
storage mediums and the user-generated e-content have a great propensity towards the …

Defect detection of MEMS based on data augmentation, WGAN-DIV-DC, and a YOLOv5 model

Z Shi, M Sang, Y Huang, L Xing, T Liu - Sensors, 2022 - mdpi.com
Surface defect detection of micro-electromechanical system (MEMS) acoustic thin film plays
a crucial role in MEMS device inspection and quality control. The performances of deep …

Drilling rod target segmentation recognition based on an improved GAN

J Luo, J Cai, J Li, J Gao, F Zhou… - Journal of Intelligent …, 2023 - content.iospress.com
During the process of gas hole drilling, automatic loading and unloading drilling rod by
robotic arm ensures the safety of personnel and drilling efficiency. Accurate recognition of …

A Novel Approach to Object Detection in Remote-Sensing Images Based on YOLOv3

Z Qin, Y Tang, Y Jia, S Liu, R Yang… - Journal of Flow …, 2023 - dl.begellhouse.com
Hyperspectral images can obtain an approximately continuous spectral curve of a ground
object in ultraviolet, visible, near infrared, and mid infrared. Through the target detection of …

An Effective Multi-class Object Detection Model for Remotely Sensed Image using Mask R-DCNN.

P Deepan, LR Sudha, T Poongothai… - … Online Journal of …, 2021 - search.ebscohost.com
Object detection in remote sensing image has received increasing attention from the
research community in recent days. Over the past few decades, variety of deep learning …

[PDF][PDF] A Real Time Prediction and Classification of Face Mask Detection using CNN Model.

S Bavankumar, B Rajalingam… - … Online Journal of …, 2021 - researchgate.net
Current scenario of COVID-19 (Corona Virus Disease) pandemic makes almost everyone to
wear a mask in order to effectively prevent the spread of the virus. This almost makes …

A Voxel Based Morphometry Approach for Identifying Alzheimer From MRI Images Using an Optimized PSO Algorithm.

N Balaraman, B Rajalingam… - … Online Journal of …, 2021 - search.ebscohost.com
Alzheimer's Disease (AD) is a commonly occurring brain disorder that affects elderly people.
It is a progressive, neurodegenerative brain disorder that attacks neurotransmitters, and …