The impact of ChatGPT on higher education

J Dempere, K Modugu, A Hesham… - Frontiers in …, 2023 - frontiersin.org
Introduction This study explores the effects of Artificial Intelligence (AI) chatbots, with a
particular focus on OpenAI's ChatGPT, on Higher Education Institutions (HEIs). With the …

Enhancing Regional Climate Downscaling through Advances in Machine Learning

N Rampal, S Hobeichi, PB Gibson… - … Intelligence for the …, 2024 - journals.ametsoc.org
Despite the sophistication of global climate models (GCMs), their coarse spatial resolution
limits their ability to resolve important aspects of climate variability and change at the local …

Improving clothing product quality and reducing waste based on consumer review using RoBERTa and BERTopic language model

A Alamsyah, ND Girawan - Big Data and Cognitive Computing, 2023 - mdpi.com
The disposability of clothing has emerged as a critical concern, precipitating waste
accumulation due to product quality degradation. Such consequences exert significant …

Investigating transformer‐based models for spatial downscaling and correcting biases of near‐surface temperature and wind‐speed forecasts

X Zhong, F Du, L Chen, Z Wang… - Quarterly Journal of the …, 2024 - Wiley Online Library
High‐resolution and accurate prediction of near‐surface weather parameters based on
numerical weather prediction (NWP) models is essential for many downstream and real …

LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata

JA Berkovich, MJ Buehler - arXiv preprint arXiv:2409.12182, 2024 - arxiv.org
The Game of Life (Life), a well known algorithm within the broader class of cellular automata
(CA), exhibits complex emergent dynamics, with extreme sensitivity to initial conditions …

Penetration game strategy of high dynamic vehicles with constraints of No-fly zones and interceptors

X Tong, J Song, W Li, C Xu - Engineering Applications of Artificial …, 2024 - Elsevier
This study investigates the penetration game strategy of the high dynamic vehicle against
high-velocity interceptors in environments with multiple static no-fly zones. The primary issue …

[PDF][PDF] El impacto de ChatGPT en la educación superior

J Dempere, K Modugu, A Hesham… - Frontiers in …, 2023 - researchgate.net
Métodos: Utilizando bases de datos como PubMed, IEEE Xplore y Google Scholar,
realizamos una búsqueda sistemática de literatura sobre el impacto de los chatbots de …

[HTML][HTML] Comparison of transformer, LSTM and coupled algorithms for soil moisture prediction in shallow-groundwater-level areas with interpretability analysis

Y Wang, Y Zha - Agricultural Water Management, 2024 - Elsevier
Accurate quantification of soil moisture is essential for understanding water and energy
exchanges between the atmosphere and the Earth's surface, as well as for agricultural …

Dynamic Physics-Guided Deep Learning for Long-Term Production Forecasting in Unconventional Reservoirs

S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya… - SPE Journal, 2024 - onepetro.org
Neural network predictive models are popular for production forecasting in unconventional
reservoirs due to their ability to learn complex relationships between well properties and …

Multi-Site Air Quality Index Forecasting Based on Spatiotem-poral Distribution and PatchTSTEnhanced: Evidence from Hebei Province in China

W Cao, R Zhang, W Cao - IEEE Access, 2024 - ieeexplore.ieee.org
Efficient and accurate air quality forecasting contributes significantly to environmental
governance, health promotion, and the development of smart cities. However, few existing …