Generative pre-trained transformer (GPT) in research: A systematic review on data augmentation

F Sufi - Information, 2024 - mdpi.com
GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review

S Wang, T Hu, H ** by integrating large language model and cartographic tools
Y Zhang, Z He, J Li, J Lin, Q Guan… - Cartography and …, 2024 - Taylor & Francis
The map** process generally involves intricate operations, such as symbol design, layout
design, and text annotation, demanding a high level of professional expertise. The high …

A sustainable way forward: Systematic review of transformer technology in social-media-based disaster analytics

F Sufi - Sustainability, 2024 - mdpi.com
Transformer technologies, like generative pre-trained transformers (GPTs) and bidirectional
encoder representations from transformers (BERT) are increasingly utilized for …

Zero-shot urban function inference with street view images through prompting a pretrained vision-language model

W Huang, J Wang, G Cong - International Journal of Geographical …, 2024 - Taylor & Francis
Inferring urban functions using street view images (SVIs) has gained tremendous
momentum. The recent prosperity of large-scale vision-language pretrained models sheds …

Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …

H Xu, F Omitaomu, S Sabri, S Zlatanova, X Li, Y Song - Urban Informatics, 2024 - Springer
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …

Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction

F Sufi - Information, 2024 - mdpi.com
This research confronts the persistent challenge of data scarcity in medical machine
learning by introducing a pioneering methodology that harnesses the capabilities of …