Shihai Wu

ORCID: 0000-0002-0306-0426
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About
Contact & Profiles
Research Areas
  • BIM and Construction Integration
  • Urban Design and Spatial Analysis
  • Urban Green Space and Health
  • 3D Surveying and Cultural Heritage
  • Building Energy and Comfort Optimization
  • Wind and Air Flow Studies
  • Architecture and Computational Design
  • Topic Modeling
  • Radiomics and Machine Learning in Medical Imaging
  • Land Use and Ecosystem Services
  • Infection Control and Ventilation
  • Innovations in Concrete and Construction Materials
  • Refrigeration and Air Conditioning Technologies
  • Urban Heat Island Mitigation
  • Infrastructure Maintenance and Monitoring
  • Migration, Aging, and Tourism Studies
  • Artificial Intelligence in Healthcare and Education
  • Place Attachment and Urban Studies
  • Biomedical Text Mining and Ontologies
  • Impact of Light on Environment and Health
  • Educational Environments and Student Outcomes
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization

Changsha University of Science and Technology
2022-2025

Central South University
2021-2024

Southern University of Science and Technology
2024

Jinan University
2024

City University of Hong Kong
2021-2023

Building Information Modelling (BIM) technology has been widely used in the construction industry recent years. However, to date, it still cannot sufficiently meet requirements of practitioners terms layout design floor tiles. Recently, BIM-based Parametric Design (PD) platform presented considerable potential automatically generating and optimizing tile design. In this paper, we propose a workflow generate optimize tiles globally. To develop workflow, first formalize algorithm according...

10.3390/buildings12020250 article EN cc-by Buildings 2022-02-21

Large language models (LLMs) are deep learning designed to comprehend and generate meaningful responses, which have gained public attention in recent years. The purpose of this study is evaluate compare the performance LLMs answering questions regarding breast cancer Chinese context.

10.1177/20552076241284771 article EN cc-by-nc-nd Digital Health 2024-01-01

One of the factors that strongly impacts efficacy stratified air distribution (STRAD) systems is return vent height (H), for which different studies have yielded suggested values. This theoretical research uses a displacement ventilation (DV) system as an example to examine how H affects STRAD through analysis trade-offs between cost vertical temperature gradient and benefits energy reduction. The key results are follows: (a) savings due lower smaller than all systems. (b) With supply (Ts)...

10.3390/buildings14041008 article EN cc-by Buildings 2024-04-05

<sec> <title>BACKGROUND</title> Large language models (LLMs) are deep learning designed to comprehend and generate meaningful responses, which have gained public attention in recent years. </sec> <title>OBJECTIVE</title> Considering that Chinese is one of the most widely spoken languages worldwide, purpose this study evaluate compare performance LLMs answering questions regarding breast cancer context. <title>METHODS</title> ChatGPT, Eenie Bot ChatGLM were chosen answer 55 related posed by...

10.2196/preprints.53021 preprint EN 2023-09-23
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