[HTML][HTML] Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …
Enhancing FAIR data services in agricultural disaster: A review
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
[HTML][HTML] Performance of ChatGPT on the US fundamentals of engineering exam: Comprehensive assessment of proficiency and potential implications for professional …
In recent years, advancements in artificial intelligence (AI) have led to the development of
large language models like GPT-4, demonstrating potential applications in various fields …
large language models like GPT-4, demonstrating potential applications in various fields …
Flood detection with SAR: A review of techniques and datasets
Floods are among the most severe and impacting natural disasters. Their occurrence rate
and intensity have been significantly increasing worldwide in the last years due to climate …
and intensity have been significantly increasing worldwide in the last years due to climate …
Platform-independent and curriculum-oriented intelligent assistant for higher education
Miscommunication between instructors and students is a significant obstacle to post-
secondary learning. Students may skip office hours due to insecurities or scheduling …
secondary learning. Students may skip office hours due to insecurities or scheduling …
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
H Huang, X Lei, W Liao, X Zuo, H Wang - Science of The Total Environment, 2023 - Elsevier
Reliable hydrological data ensure the precision of the urban waterlogging simulation. To
reduce the simulation error caused by insufficient basic data, a multi-strategy method …
reduce the simulation error caused by insufficient basic data, a multi-strategy method …
[HTML][HTML] A novel urban heat vulnerability analysis: Integrating machine learning and remote sensing for enhanced insights
Rapid urbanization and climate change exacerbate the urban heat island effect, increasing
the vulnerability of urban residents to extreme heat. Although many studies have assessed …
the vulnerability of urban residents to extreme heat. Although many studies have assessed …
A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet
Y Zhang, P Liu, L Chen, M Xu, X Guo… - International Journal of …, 2023 - Taylor & Francis
Deep learning algorithms show good prospects for remote sensing flood monitoring. They
mostly rely on huge amounts of labeled data. However, there is a lack of available labeled …
mostly rely on huge amounts of labeled data. However, there is a lack of available labeled …
Pemanfaat Geographic Artificial Intelligence (Geo-AI) Untuk Identifikasi Daerah Rawan Banjir Di Kota Ambon
A Muin, H Rakuasa - Gudang Jurnal Multidisiplin Ilmu, 2023 - gudangjurnal.com
Penelitian ini bertujuan untuk menerapkan Geographic Artificial Intelligence (Geo-AI) dalam
identifikasi daerah rawan banjir di Kota Ambon. Geo-AI merupakan kombinasi teknologi …
identifikasi daerah rawan banjir di Kota Ambon. Geo-AI merupakan kombinasi teknologi …
MA-SARNet: A one-shot nowcasting framework for SAR image prediction with physical driving forces
Remote sensing imagery is one of the most widely used data sources for large-scale Earth
observations with consistent spatial and temporal quality. However, the current usage …
observations with consistent spatial and temporal quality. However, the current usage …