Ara
Toplam kayıt 15, listelenen: 11-15
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
(Elsevier Ltd, April 2024)
A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ...
AN ANALYSIS OF NEIGHBOURHOOD TYPES FOR POINTNET++ IN SEMANTIC SEGMENTATION OF AIRBORNE LASER SCANNING DATA
(International Society for Photogrammetry and Remote Sensing, 8 March 20)
The objective of the study is to conduct a comprehensive examination of how different neighbourhood types, namely spherical, cylindrical, and k-nearest neighbour (kNN), influence the feature extraction capabilities of the ...
Extraction of Water Bodies from High-Resolution Aerial and Satellite Images Using Visual Foundation Models
(Multidisciplinary Digital Publishing Institute (MDPI), April 2024)
Water, indispensable for life and central to ecosystems, human activities, and climate dynamics, requires rapid and accurate monitoring. This is vital for sustaining ecosystems, enhancing human welfare, and effectively ...
An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
(UNIV NAC COLOMBIA, FAC INGENIERIA, DEC 2023)
Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were ...
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...