Results 181 to 190 of about 10,511 (262)
Spatial–Temporal Graph Learning for Taxi Origin–Destination Demand Prediction
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 4, April 2026.To address the challenges of origin–destination semantic differentiation and data sparsity in taxi origin–destination demand prediction, we propose a multilevel continuous‐time dynamic node‐ based attention network (MCNAT). The results show that MCNAT outperforms the base model in all metrics.
Mingxia Huang, Bingyan Zheng, Dan Peng
wiley +1 more source
Journal of Forecasting, Volume 45, Issue 3, Page 1110-1128, April 2026.ABSTRACT Pairs trading, a popular algorithmic trading strategy, exploits the short‐term price difference (spread) between two comoving assets. Empirically, the spread distribution of most assets in pairs trading has a fat‐tail characteristic that does not follow a normal distribution.
Yuhee Kwon, Youngsoo Choi
wiley +1 more source
Modeling epithelial wound closure dynamics with AI: A comparative study across cell types. [PDF]
Regen TherCai X, Li W, Shi W, Cai Y, Zhou J.
europepmc +1 more source
Mortality Forecasting Using Variational Inference
Journal of Forecasting, Volume 45, Issue 3, Page 1069-1076, April 2026.ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley +1 more source
Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform. [PDF]
NanophotonicsManuylovich E +3 more
europepmc +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Modelling the association of rainfall and temperature with malaria incidence in Adamawa State, Nigeria. [PDF]
Sci RepBakare EA +5 more
europepmc +1 more source
Fuel Cells, Volume 26, Issue 2, April 2026.ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
Forecasting mean deviation in glaucoma patients using an irregular autoregressive time series method. [PDF]
Sci RepChildress C, Gardiner SK, Pathak M.
europepmc +1 more source
Estimating Mediterranean Cyclone Activity via Explainable Machine Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso +5 more
wiley +1 more source