Classification of similar electronic components by transfer learning methods DOI
Göksu Taş

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109658 - 109658

Published: Nov. 12, 2024

Language: Английский

Object detection of mural images based on improved YOLOv8 DOI
Penglei Wang, Xing Fan, Qimeng Yang

et al.

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(1)

Published: Feb. 1, 2025

Language: Английский

Citations

0

Deep learning ResNet34 model-assisted diagnosis of sickle cell disease via microcolumn isoelectric focusing DOI
Ali Sani, Youli Tian, Shah Saud

et al.

Analytical Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The study proposes a ResNet34 DL model for automated SCD diagnosis using mIEF Hb S, achieving 90.1% accuracy in classifying variants. model's precision suggests it could reduce costs and the reliance on need expert diagnosis.

Language: Английский

Citations

1

Metal Surface Defect Detection Using Deep Learning Techniques DOI
Abhinav Sinha,

E. Elakiya

Published: July 4, 2024

Language: Английский

Citations

0

Documenting customary land boundaries using unmanned aerial vehicle imagery and artificial intelligence DOI Creative Commons
Dianah Rose Abeho, Moreblessings Shoko, Patroba Achola Odera

et al.

The Photogrammetric Record, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 3, 2024

Abstract The use of computer vision and deep learning in boundary documentation for land registration stems from the ongoing demand appropriate mapping approaches unregistered rights to eradicate global challenge tenure insecurity. Previous research has yielded promising results towards automated extraction photo‐visible cadastral boundaries high‐resolution imagery. Nonetheless, invisible is still a challenge. This study investigates place sensor/s on‐board unmanned aerial vehicles algorithms detecting boundaries. It develops participatory marking procedure using low‐cost markers bring monument previously ill‐defined After that, researchers trained tested accuracy convolutional neural network, namely single shot multi‐box detector (SSD) based on Residual Neural Network (ResNet) Visual Geometry Group (VGG) backbone networks automatically detect vehicle SSD ResNet34 performed best with 0.88 precision, 0.92 recall 0.91 F measure or (F1) score. VGG19‐based precision 0.47, 0.53 F1 score 0.50. horizontal map generated varied 0.089 0.496 m per parcel, standard deviation 0.120 m. Results show that this approach practical rural areas.

Language: Английский

Citations

0

Deep Ensemble Fusion For Enhanced Multi-Label Land Cover Classification DOI
Anup Kumar, Anjana Mishra,

Rakesh Kumar Raman

et al.

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: June 24, 2024

Language: Английский

Citations

0

Classification of similar electronic components by transfer learning methods DOI
Göksu Taş

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109658 - 109658

Published: Nov. 12, 2024

Language: Английский

Citations

0