Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
Artificial Intelligence (AI) and Internet of Things (IoT)-based sensors for monitoring and controlling in architecture, engineering, and construction: applications …
Abstract The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has brought
about a paradigm shift in the realm of architecture, engineering, and construction (AEC) …
about a paradigm shift in the realm of architecture, engineering, and construction (AEC) …
Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks
I Razveeva, A Kozhakin, AN Beskopylny, SA Stel'makh… - Buildings, 2023 - mdpi.com
Currently, artificial intelligence (AI) technologies are becoming a strategic vector for the
development of companies in the construction sector. The introduction of “smart solutions” at …
development of companies in the construction sector. The introduction of “smart solutions” at …
SRGAN-enhanced unsafe operation detection and classification of heavy construction machinery using cascade learning
In the inherently hazardous construction industry, where injuries are frequent, the unsafe
operation of heavy construction machinery significantly contributes to the injury and accident …
operation of heavy construction machinery significantly contributes to the injury and accident …
Puttybot: A sensorized robot for autonomous putty plastering
Plastering is dominated manually, exhibiting low levels of automation and inconsistent
finished quality. A comprehensive review of literature indicates that extant plastering robots …
finished quality. A comprehensive review of literature indicates that extant plastering robots …
Real-Time Detection of Slug Flow in Subsea Pipelines by Embedding a Yolo Object Detection Algorithm into Jetson Nano
W Qiao, H Guo, E Huang, X Su, W Li… - Journal of Marine Science …, 2023 - mdpi.com
In the multiple-phase pipelines in terms of the subsea oil and gas industry, the occurrence of
slug flow would cause damage to the pipelines and related equipment. Therefore, it is very …
slug flow would cause damage to the pipelines and related equipment. Therefore, it is very …
Mixed Reality-Based Approach for Minimizing Time Uncertainty in Prefabrication
H Sandagomika, A Shringi, SR Mohandes… - Journal of …, 2024 - ascelibrary.org
Prefabrication is highly recognized in construction due to its inherent cost efficiency, quality
control, and sustainability benefits. However, the presence of uncertainties in prefabrication …
control, and sustainability benefits. However, the presence of uncertainties in prefabrication …
[HTML][HTML] Precast concrete project image dataset for deep learning object detection
Computer vision technology in precast concrete (PC) projects has the potential to enhance
site management but faces challenges due to the lack of specialized datasets for this field …
site management but faces challenges due to the lack of specialized datasets for this field …
Leveraging artificial intelligence and strategic management for success in inter/national projects in US and beyond
B Thuraka, V Pasupuleti… - Journal of …, 2024 - article.researchpromo.com
The place of artificial intelligence (AI) and strategic management (SM) in the success of any
projects cannot be overemphasized. This study critically explores the place of AI and SM in …
projects cannot be overemphasized. This study critically explores the place of AI and SM in …
[HTML][HTML] Smart structural health monitoring using computer vision and edge computing
Structural health monitoring (SHM) provides real-time data on the condition and
performance of infrastructure, enabling timely and cost-effective maintenance interventions …
performance of infrastructure, enabling timely and cost-effective maintenance interventions …