Predicting temporal evacuation travel time in staircases between adjacent floors of super high-rise buildings by artificial neural networks

X Liu, J Huang, J Zhao, Y Ji, X Fan, T Du - Journal of Building Engineering, 2024 - Elsevier
Predicting temporal evacuation travel time in staircases between adjacent floors is crucial for
dynamic evacuation guidance to improve vertical evacuation efficiency during emergencies …

Advancing Financial Forecasts: A Deep Dive into Memory Attention and Long-Distance Loss in Stock Price Predictions

S Yang, Y Ding, B **e, Y Guo, X Bai, J Qian, Y Gao… - Applied Sciences, 2023 - mdpi.com
In the context of the rapid evolution of financial markets, the precise prediction of stock prices
has become increasingly complex and challenging, influenced by a myriad of factors …

Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model

MT Pillay, N Minakawa, Y Kim, N Kgalane… - Scientific Reports, 2023 - nature.com
Climatic factors influence malaria transmission via the effect on the Anopheles vector and
Plasmodium parasite. Modelling and understanding the complex effects that climate has on …

FEDAF: frequency enhanced decomposed attention free transformer for long time series forecasting

X Yang, H Li, X Huang, X Feng - Neural Computing and Applications, 2024 - Springer
Long time series forecasting (LTSF), which involves modeling relationships within long time
series to predict future values, has extensive applications in domains such as weather …

A New Approach for Predicting NDVI of Winter Wheat Using Seasonal LSTM

F Zhao, N Xu, Z Fang, S Bai, M Jiang, Y Zhu - Journal of the Indian Society …, 2025 - Springer
The prediction of the Normalized Difference Vegetation Index (NDVI) is closely related to
crop growth and is essential for crop management decision-making, phenology, and yield …

[HTML][HTML] FuturesNet: Capturing Patterns of Price Fluctuations in Domestic Futures Trading

Q Pan, S Sun, P Yang, J Zhang - Electronics, 2024 - mdpi.com
Futures trading analysis plays a pivotal role in the development of macroeconomic policies
and corporate strategy planning. High-frequency futures data, typically presented as time …

Prediction model of permeability index for blast furnace based on WD-NL-transformer

X Lin, X **ng, Y Ren, B Wang, Z Yu… - Ironmaking & …, 2024 - journals.sagepub.com
The permeability index is an important variable to reflect the operating state of a blast
furnace quickly, intuitively and comprehensively. Given the multi-scale, nonlinear and …

Deep Learning Algorithms for Cryptocurrency Price Prediction: a Comparative Analysis

A Mazinani, L Davoli, G Ferrari - Distributed Ledger Technologies …, 2024 - dl.acm.org
Over the past years, cryptocurrencies have experienced a surge in popularity within the
financial markets. As of today, besides being considered for investment purposes, they also …

Future Flight Safety Monitoring: Comparison of Different Computational Methods for Predicting Pilot Performance Under Time Series During Descent by Flight Data …

Y Wang, WC Li, A Nichanian, WT Korek… - … Conference on Human …, 2024 - Springer
Introduction. Effective and real-time analysis of pilot performance is important for improving
flight safety and enabling remote flight safety control. The use of flight data and pilot …

Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction

N Joojili, A Amezaga-Hechavarria… - 2023 International …, 2023 - ieeexplore.ieee.org
Predicting packet volume accurately plays a vital role in network management and
optimization. This study proposes a novel approach combining a hybrid wavelet transform …