Visual characteristics of the built environment affect how people perceive and experience
cities. For a long time, many studies have examined visual perception in cities. Such efforts …

For image computer vision processing, the reasonable application of machine learning is
crucial. To ensure the effectiveness of machine learning algorithms and their related …

As urban development and ecological restoration progress, landscape engineering projects
face challenges due to their size and complexity. This study explores intelligent progress …

Visual environmental simulations are fundamental in understanding the relationship
between the built environment and psychological perception. The remarkable evolution of …

To address the issue of undetected excessive pipeline vibrations in power plant production
areas, leading to pipeline damage or leaks at connecting flanges and valves, we propose an …

The Transformer, characterized by its attention-driven encoder-decoder architecture, has
made substantial advancements in the realm of natural language processing and has now …

This paper begins with a theoretical exploration of the rise of large language models (LLMs)
in Human-Computer Interaction (HCI), their impact on user experience (HX), and related …

In the examination of car component failures, conventional manual on-site approaches have
constraints in terms of effectiveness and accessibility. To address these limitations, a flexible …

В современном промышленном производстве из-за сложностей в производственной
среде и технических ограничений поверхностные дефекты, такие как царапины …

Buildings require swift evaluations of seismic resilience to mitigate earthquake damages
effectively. Traditional, individualized calculation methods are time and labor-intensive …