3 days ago · Graph convolution network-based approaches have been recently used to model region-wise relationships in region-level prediction problems in urban computing.

6 days ago · We present the first hard-constraint neural network for predicting activity coefficients (HANNA), a thermodynamic mixture property that is the basis for ...

2 days ago · A deep-learning-based surrogate model is developed and applied for predicting dynamic subsurface flow in channelized geological models. The surrogate model ...

6 days ago · This study aims to develop training procedures and rendering algorithms for neural implicit surfaces su... Primary Advisor: Andreas Geiger (University of ...

4 days ago · Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: hybrid forecast; integrated forecast; multi-pattern data ...

3 days ago · Date, Package, Title. 2024-07-28, dsmmR, Estimation and Simulation of Drifting Semi-Markov Models. 2024-07-28, HypergeoMat, Hypergeometric Function of a ...

7 hours ago · Date, Package, Title. 2024-07-30, avotrex, A Global Dataset of Anthropogenic Extinct Birds and their Traits: Phylogeny Builder.

5 days ago · Date, Package, Title. 2024-07-25, alcyon, Spatial Network Analysis. 2024-07-25, AQuality, Water and Measurements Quality.

1 day ago · ... Neural Network MPPT Control of an On-Grid Wind Energy. System ... implicit and explicit assumptions made in online discussions. [23]. The system conducts ...

5 days ago · Functions of several variables: Partial derivatives - Total derivatives - Euler's theorem - Implicit functions. - Jacobians - Taylor's theorem - Maxima and ...