How can generative AI help in different parts of research? An experiment study on smart cities' definitions and characteristics

O Dashkevych, BA Portnov - Technology in Society, 2024 - Elsevier
Artificial intelligence (AI) engines, such as ChatGPT, InferKit, and DeepAI, are very popular
today and new AI engines, such as Google Bard, Chinchilla AI DeepMind, and GPT-4 …

Analysis of market environment for smart grid technology investments via facial action coding system-enhanced hybrid decision-making model

S Yuksel, H Dincer, A Mikhaylov - International Journal of Innovation …, 2024 - emerald.com
Purpose This paper aims to market analysis on the base many factors. Market analysis must
be done correctly to increase the efficiency of smart grid technologies. On the other hand, it …

Human-centric computing for inequality energy classification in smart cities: Who gets left to margins while improving quality of life through advanced approaches?

H Lyu, T Wu, N Komori, X Wu - Sustainable Cities and Society, 2024 - Elsevier
In the dynamic landscape of smart cities, effective energy classification stands as a critical
determinant of societal well-being. This paper introduces a Hybrid SVM-Random Forest …

[HTML][HTML] The Correlation between Smart Cities and Carbon Footprint

I Amundsen, T Oldernes, MT Refsnes - 2024 - ntnuopen.ntnu.no
The global climate is heavily affected by increased amounts of greenhouse gases released
to the atmosphere, resulting in an increased surface temperature. The pre-industrial eras' …

The Ecological Environment of High-Level Talent Highlands: A Dynamic Qca Analysis Based on Chinese Panel Data

S Zhao - Available at SSRN 4665116 - papers.ssrn.com
The ecological environment stands as the linchpin in the construction of high-level talent
highlands. This study, grounded in the theories of talent and innovation ecosystems, utilizes …