A bibliometric review on Safety Risk assessment of construction based on CiteSpace software and WOS database
As urbanization continues to grow around the world, the risks associated with construction
are increasing. Scientific and practical risk assessments help reduce safety risks and …
are increasing. Scientific and practical risk assessments help reduce safety risks and …
AI-based on machine learning methods for urban real estate prediction: a systematic survey
The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …
has led to the emergence of artificial intelligence (AI) based tools in decision support …
Artificial Intelligence Methods for the Construction and Management of Buildings
S Ivanova, A Kuznetsov, R Zverev, A Rada - Sensors, 2023 - mdpi.com
Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …
speech and dialogue, decision making and planning, problem solving, robotics and other …
An investigation using resampling techniques and explainable machine learning to minimize fire losses in residential buildings
Urban residential fires seriously threaten public safety, causing significant property damage
and severely impacting urban sustainability. To enhance the understanding of urban …
and severely impacting urban sustainability. To enhance the understanding of urban …
Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle
In recent years, there has been a surge in the global digitization of corporate processes and
concepts such as digital technology development which is growing at such a quick pace that …
concepts such as digital technology development which is growing at such a quick pace that …
[HTML][HTML] Enhancing construction management outcomes through the mitigation of robotics implementation barriers: A sustainable practice model
A Waqar, KA Alrasheed, O Benjeddou - Environmental Challenges, 2024 - Elsevier
Incorporating technology into construction projects is highly important to achieve success.
One of the critical technologies is robotics, but it faces significant barriers in terms of …
One of the critical technologies is robotics, but it faces significant barriers in terms of …
[HTML][HTML] Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis
Given trends in more frequent and severe natural disaster events, develo** effective risk
mitigation strategies is crucial to reduce negative economic impacts, due to the limited …
mitigation strategies is crucial to reduce negative economic impacts, due to the limited …
A deep learning model development to predict safety accidents for sustainable construction: a case study of fall accidents in South Korea
So far, studies for predicting construction safety accidents have mostly been conducted by
statistical analysis methods that assume linear models, such as regression and time series …
statistical analysis methods that assume linear models, such as regression and time series …
EMI threat assessment of UAV data link based on multi-task CNN
T Xu, Y Chen, Y Wang, D Zhang, M Zhao - Electronics, 2023 - mdpi.com
In this work, a multi-task convolutional neural network with multi-input (MIMT-CNN) is
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
Anti-slip control for unmanned underwater tracked bulldozer based on active disturbance rejection control
The unmanned underwater tracked bulldozer (UUTB) plays an essential role in dredging
and clearing riverbed obstacles in flood season. The track slip leads to instability and energy …
and clearing riverbed obstacles in flood season. The track slip leads to instability and energy …