Human-centered intelligent construction for sustainable cities

H Kang, H Kim, J Hong, J Jeoung, M Lee… - Automation in …, 2024 - Elsevier
Automatic technologies are a develo** trend in the construction industry and have
emerged by leveraging intelligent technologies. In automated construction, a human …

A multi-objective optimization of neural networks for predicting the physical properties of textile polymer composite materials

I Malashin, V Tynchenko, A Gantimurov, V Nelyub… - Polymers, 2024 - mdpi.com
This paper explores the application of multi-objective optimization techniques, including
MOPSO, NSGA II, and SPEA2, to optimize the hyperparameters of artificial neural networks …

An investigation on implementation of generating adversarial network-based surrogate models for prediction of turbine endwall film cooling effectiveness

W Zhang, Z Liu, Y Song, Y Lu, Z Feng - Engineering Applications of …, 2024 - Elsevier
Film cooling is an essential cooling technique for turbine blade, which guides coolant to
cover the turbine blades surface by arranging discrete film holes on it. For the newly …

Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach

R Li, J Chen, HL Chi, D Wang, Y Fu - Advanced Engineering Informatics, 2024 - Elsevier
Concerning the deployment of heavy on-site machinery to transport construction
components, tower crane layout planning (TCLP) has an essential impact on construction …

[HTML][HTML] Exploring the Potential of Generative Adversarial Networks in Enhancing Urban Renewal Efficiency

Y Lin, M Song - Sustainability, 2024 - mdpi.com
As Chinese cities transition into a stage of stock development, the revitalization of industrial
areas becomes increasingly crucial, serving as a pivotal factor in urban renewal. The …

[HTML][HTML] Adaptive artificial multiple intelligence fusion system (A-AMIFS) for enhanced disease detection in Nile Tilapia

A Jutagate, R Pitakaso, S Khonjun, T Srichok… - Aquaculture …, 2024 - Elsevier
The development of an efficient disease detection system for Nile Tilapia is critical due to the
significant economic and food security impacts of disease outbreaks. Traditional disease …

Automobile exterior emotional design method based on deep learning and multiple views imagery integrating calculation

S Wang, Y Liu, L Sun, G Chen - Expert Systems with Applications, 2025 - Elsevier
In the context of the increasingly dynamic experience economy, users' emotional experience
with automobile has become a leading factor in consumption, making automobile exterior …

Generative design for complex floorplans in high-rise residential buildings: A Monte Carlo tree search-based self-organizing multi-agent system (MCTS-MAS) solution

P Su, X Lin, W Lu, F **ong, Z Peng, Y Lu - Expert Systems with Applications, 2024 - Elsevier
This research aims to develop an innovative generative design algorithm for complex
floorplan layout designs in high-rise residential buildings. Unlike conventional methods …

[HTML][HTML] Evaluation and Optimization of Traditional Mountain Village Spatial Environment Performance Using Genetic and XGBoost Algorithms in the Early Design …

Z Xu, X Li, B Sun, Y Wen, P Tang - Buildings, 2024 - mdpi.com
As urbanization advances, rural construction and resource development in China encounter
significant challenges, leading to the widespread adoption of standardized planning and …

Slub extraction and measurement in denim fabric images based on conditional image-to-image translation

B Song, W He, N Zhang, J **ang, R Pan - Signal, Image and Video …, 2025 - Springer
The dark color and irregular length, thickness, and inter-slub separation distance of the slub
make it challenging to analyze the samples and extract the slub parameters in slub denim. A …