Incorporating sparse model machine learning in designing cultural heritage landscapes
Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …
robust frameworks and processes for forming datasets and advanced decision support tools …
A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios
The performance of crack segmentation is influenced by complex scenes, including
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …
Automated building layout generation using deep learning and graph algorithms
L Wang, J Liu, Y Zeng, G Cheng, H Hu, J Hu… - Automation in …, 2023 - Elsevier
Designing architectural layouts is a complex task that has garnered significant attention in
the research community. While automated site layout design and flat layout design have …
the research community. While automated site layout design and flat layout design have …
Enhancing Object Detection in Smart Video Surveillance: A Survey of Occlusion-Handling Approaches
Smart video surveillance systems (SVSs) have garnered significant attention for their
autonomous monitoring capabilities, encompassing automated detection, tracking, analysis …
autonomous monitoring capabilities, encompassing automated detection, tracking, analysis …
Single drone-based 3D reconstruction approach to improve public engagement in conservation of heritage buildings: A case of Hakka Tulou
Public engagement in protecting architectural heritage is a critical component of sustainable
development. This study has developed an innovative single drone-based 3D reconstruction …
development. This study has developed an innovative single drone-based 3D reconstruction …
A dynamic multi-model transfer based short-term load forecasting
L Xiao, Q Bai, B Wang - Applied Soft Computing, 2024 - Elsevier
The integration of renewable energy sources in power systems has resulted in increased
complexity in dispatch management, necessitating higher accuracy in short-term load …
complexity in dispatch management, necessitating higher accuracy in short-term load …
Video surveillance-based multi-task learning with Swin transformer for earthwork activity classification
Y Lu, K You, C Zhou, J Chen, Z Wu, Y Jiang… - … Applications of Artificial …, 2024 - Elsevier
Bulldozers, pivotal in earthworks, traditionally undergo supervision through labor-intensive
and potentially unreliable manual methods. This research proposes a vision-based method …
and potentially unreliable manual methods. This research proposes a vision-based method …
Multi‐view stereo for weakly textured indoor 3D reconstruction
T Wang, VJL Gan - Computer‐Aided Civil and Infrastructure …, 2024 - Wiley Online Library
A 3D reconstruction enables an effective geometric representation to support various
applications. Recently, learning‐based multi‐view stereo (MVS) algorithms have emerged …
applications. Recently, learning‐based multi‐view stereo (MVS) algorithms have emerged …
Computer vision for wildfire detection: a critical brief review
In this critical brief review, we explore the pivotal role of computer vision in wildfire detection,
following the PRISMA methodology and focusing on 35 key studies published between …
following the PRISMA methodology and focusing on 35 key studies published between …
Enhancing 3D reconstruction of textureless indoor scenes with IndoReal multi-view stereo (MVS)
T Wang, VJL Gan - Automation in Construction, 2024 - Elsevier
Abstract 3D reconstruction plays a pivotal role in capturing the built environment's object
shapes and appearances for diverse smart applications, such as indoor navigation and …
shapes and appearances for diverse smart applications, such as indoor navigation and …