Computer vision applications in offsite construction

F Alsakka, S Assaf, I El-Chami, M Al-Hussein - Automation in Construction, 2023 - Elsevier
The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

[HTML][HTML] Innovative region convolutional neural network algorithm for object identification

Y Permanasari, BN Ruchjana, S Hadi… - Journal of Open Innovation …, 2022 - mdpi.com
Object identification is a part of the field of computer science, namely, image processing,
whose research continues to innovate. Object identification describes an object based on …

[HTML][HTML] On-board small-scale object detection for unmanned aerial vehicles (UAVs)

Z Saeed, MH Yousaf, R Ahmed, SA Velastin, S Viriri - Drones, 2023 - mdpi.com
Object detection is a critical task that becomes difficult when dealing with onboard detection
using aerial images and computer vision technique. The main challenges with aerial images …

[HTML][HTML] Indian traffic sign detection and recognition using deep learning

RK Megalingam, K Thanigundala, SR Musani… - International Journal of …, 2023 - Elsevier
Traffic signs play a crucial role in managing traffic on the road, disciplining the drivers,
thereby preventing injury, property damage, and fatalities. Traffic sign management with …

[HTML][HTML] An improved single shot multibox detector method applied in body condition score for dairy cows

X Huang, Z Hu, X Wang, X Yang, J Zhang, D Shi - Animals, 2019 - mdpi.com
Simple Summary Body condition score (BCS) is an important work for feeding management
and cow welfare on the farm. The aim of our study is to assess the BCS automatically and …

Automatic multiclass instance segmentation of concrete damage using deep learning model

P Kumar, A Sharma, SR Kota - IEEE Access, 2021 - ieeexplore.ieee.org
Concrete is one of the primary and most commonly used materials for the construction of
buildings, roads, bridges, and dams. But it may lose its strength with age, moisture content …

Dynamic Adoptive Gaussian Mixture Model for Multi-Object Detection Over Natural Scenes

MW Ahmed, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Recent strides in visionary technologies have profoundly impacted the domain of multi-
object recognition, serving as a linchpin in transformative applications such as augmented …

[HTML][HTML] A two-stage framework for automated malignant pulmonary nodule detection in CT scans

S El-Bana, A Al-Kabbany, M Sharkas - Diagnostics, 2020 - mdpi.com
This research is concerned with malignant pulmonary nodule detection (PND) in low-dose
CT scans. Due to its crucial role in the early diagnosis of lung cancer, PND has considerable …

Object Detection in Convolution Neural Networks Using Iterative Refinements.

VV Aroulanandam, TP Latchoumi… - Revue d' …, 2019 - search.ebscohost.com
One of the major problems in computer vision is the object detection through image
classification. In recent years, the convolutional neural network (CNN) has been extensively …

[PDF][PDF] Deteksi spoofing wajah menggunakan Faster R-CNN dengan arsitektur Resnet50 pada video

S Megawan, WS Lestari - Jurnal Nasional Teknik Elektro dan …, 2020 - researchgate.net
Face detection is a main and important process in the field of face recognition that has been
widely studied. The purpose of face detection is to determine the presence and mark the …