[HTML][HTML] A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner

SK Singh, S Raval, B Banerjee - International Journal of Mining Science …, 2021 - Elsevier
… SLAM is a computational process of building a map in an unknown … detect roof bolts, the
point cloud was filtered to removeapproach to detect connected regions within an image or 3D …

Detecting School Zones on Florida's Public Roadways Using Aerial Images and Artificial Intelligence (AI2)

RB Antwi, S Takyi, A Karaer… - Transportation …, 2024 - journals.sagepub.com
… These methods eliminate field work and data collection time, … images were iterated, and
intersecting regions of the aerial … zone detection and mapping model can detect and map 94% of …

Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
… To eliminate these obstacles, we propose a two-route … an iterative optimization of the
objective function [31–33]. This … each location is selected to create a final edge map [39, 40]. An …

Multiple-point geostatistics-based three-dimensional automatic geological modeling and uncertainty analysis for borehole data

J Guo, Z Wang, C Li, F Li, MW Jessell, L Wu… - Natural Resources …, 2022 - Springer
… effect and eliminate the discontinuity problem between zonal … geological surveys include
borehole, geological mapping, … Hence, we scanned the training images to obtain data events …

A lightweight convolutional neural network model for liver segmentation in medical diagnosis

M Ahmad, SF Qadri, S Qadri, IA Saeed… - Computational …, 2022 - Wiley Online Library
Iterative results of liver probability map produced by Ga-CNN … method do not need to
remove any other organ first. Ga-CNN … detect the abnormal liver in the image very well but our …

A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2)

S Nag, P Shivakumara, U Pal, T Lu, M Blumenstein - Pattern Recognition, 2020 - Elsevier
… scene text images may not perform well for video images of … a confidence map for each
candidate text region. Candidate … properties of texts have been used for eliminating the false …

A method of Japanese ancient text recognition by deep learning

L Chen, B Lyu, H Tomiyama, L Meng - Procedia Computer Science, 2020 - Elsevier
removing the black border portions in the binarized maps, … the layout maps and the image
containing each row of the texts are … Reduce the number of iterations required for running one …

Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images

Q Qiu, D Lau - Automation in Construction, 2023 - Elsevier
… the region proposals into fixed-shape feature maps before … Additionally, non-max suppression
is used to eliminate … 0.01 when the iteration was performed 2000 times. In the testing …

Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans

D Alzu'bi, M Abdullah, I Hmeidi… - Journal of …, 2022 - Wiley Online Library
… This work presents new data consisting of images and text “ … helps to identify the feature
map for each image engaged in … the image contains a lot of information; we can remove this …

[Retracted] Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm

Y Wu, Z Zhou - Journal of Function Spaces, 2022 - Wiley Online Library
… modeling based on images or laser-scanned dense point clouds [… modeling before the need
to eliminate noise points. In the … points and 3D road boundary through map matching, and to …