Application of hybrid machine learning algorithm in multi-objective optimization of green building energy efficiency
Y Zhu, W Xu, W Luo, M Yang, H Chen, Y Liu - Energy, 2025 - Elsevier
Green building design strives to optimize energy efficiency, emissions reduction, cost-
effectiveness, and thermal comfort by accurately predicting and optimizing building …
effectiveness, and thermal comfort by accurately predicting and optimizing building …
Point cloud-based dimensional quality assessment of precast concrete components using deep learning
The dimensional quality of precast concrete (PC) subcomponents (concrete and rebars)
should be inspected in advance to ensure assembly quality. Currently, PC components are …
should be inspected in advance to ensure assembly quality. Currently, PC components are …
A review on artificial intelligence applications for facades
This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Elev-vision: Automated lowest floor elevation estimation from segmenting street view images
We propose an automated lowest floor elevation (LFE) estimation algorithm based on
computer vision techniques to leverage the latent information in street view images. Flood …
computer vision techniques to leverage the latent information in street view images. Flood …
FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation
D Yang, J Zhang, J Liu, X Suo, N Chen, R Li - Advanced Engineering …, 2024 - Elsevier
Current image semantic segmentation networks based on convolutional neural networks
require extensive training samples and pixel-level annotations to achieve satisfactory …
require extensive training samples and pixel-level annotations to achieve satisfactory …
An image information fusion based simple diffusion network leveraging the segment anything model for guided attention on thermal images producing colorized …
Because of the synergistic characteristics of the data they provide, thermal imagers are
becoming more and more common as secondary data-collecting modules to complement …
becoming more and more common as secondary data-collecting modules to complement …
A semantic segmentation-based collision recognition method for motorcycle slalom through poles in Motorcycle Driving License Test
J Zhou, X Wu, W Zhou, Y Wang - Advanced Engineering Informatics, 2023 - Elsevier
Motorcycles are one of the most important means of transportation. For traffic safety, most
countries require drivers to pass the Motorcycle Driving License Test (MDLT). The traditional …
countries require drivers to pass the Motorcycle Driving License Test (MDLT). The traditional …
Unsupervised spatio-temporal anomalous thermal behavior monitoring of inside-built environments
Continual wavering of outside weather degrades the efficiency of inside building envelope
over time and leads to additional energy consumption, various structural damages, etc …
over time and leads to additional energy consumption, various structural damages, etc …
Autonomous Detection and Assessment of Indoor Building Defects Using Multimodal Learning and GPT
Buildings deteriorate over their service life. The early detection of defects such as cracking,
spalling, corrosion, and moisture can benefit the preventative maintenance of building …
spalling, corrosion, and moisture can benefit the preventative maintenance of building …
An Intelligent Robotic Sensing System for Indoor Building System Inspection
Regular indoor building inspections and maintenance are essential to prevent property
damage and sustain its condition and functionality for the intended occupants. Traditional …
damage and sustain its condition and functionality for the intended occupants. Traditional …