Abstract: The integration of generative AI and large language models (LLMs) in academia enhances access and collaboration but also raises concerns about misinformation and academic integrity. Analyzing 80 academic guidelines, we recommend balanced approaches for their responsible use in education. The cover image is sourced from Pexels and is free… read more 

Abstract: Public EV charging stations (EVCSs) are essential for EV adoption. This study analyzes Seoul’s public EV charging patterns in relation to the urban built environment. Built-environment data were collected from land-use maps, POI data, and panorama images, with computer vision extracting scene features. A spatiotemporal analysis revealed peak afternoon… read more 

Abstract: This study explores disparities in Electric Vehicle (EV) adoption across different socio-economic groups and geographic areas in Texas, focusing on the Texas Triangle (Austin, Houston, San Antonio, and Dallas-Fort Worth). Using EV registration data and hierarchical clustering, the research identified distinct adoption patterns. Tesla emerged as the dominant brand,… read more 

Abstract: This paper introduces AI-FEED, a web-based platform (ai-feed.ai) designed to tackle food and nutrition insecurity within the food charity ecosystem. Using AI and blockchain technology, AI-FEED improves access to nutritious food and optimizes resource allocation, aiming to reduce food waste and enhance community health. It was developed through stakeholder… read more