ENHANCING POWER FLOW DATASETS WITH WASSERSTEIN-GRADIENT FLOW-BASED SAMPLE REPLENISHMENT

The application of artificial intelligence (AI) methods in power grid analysis necessitates the utilization of power flow datasets for model training. Presently, power flow data sources predominantly stem from offline simulations and real-time data collection. However, the accumulated online and offline power flow datasets have limitations that impede their direct suitability for AI model

Authors: Zhang Wei
Pages: 1-9
ENHANCING CIVIL ENGINEERING PROJECT SITE MANAGEMENT WITH BIM TECHNOLOGY: AN IN-DEPTH ANALYSIS

Building Information Modeling (BIM) technology has emerged as a transformative tool in the construction industry, addressing historical challenges related to management efficiency and incomplete information acquisition. This technology has played a pivotal role in fostering collaborative project management, thereby enhancing resource utilization and data sharing while elevating site management

Authors: Mei Ling Tan , Zhihao Wang
Pages: 10-18
INVESTIGATING EARTHQUAKE-INDUCED DESTRUCTION: A THERMODYNAMIC PERSPECTIVE

Earthquakes are recurrent and devastating natural disasters that result from a combination of natural and human factors. They often lead to the collapse of entire regions, endangering lives and causing significant damage to property. Areas prone to earthquakes are predominantly characterized by geological conditions comprising rock aggregates, making earthquake-induced landslides a

Authors: Li Jing
Pages: 19-37