Several fundamental results on the existence and behavior of solutions to semilinear functional differential equations are developed in a Banach space setting. The ideas are applied to ...
This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business, Erasmus ...
Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...
This repository contains the PyTorch implementation for the paper Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. Spotlight presentation (Notable Top 5%). Oh, ...
Abstract: Convolutional neural networks (CNNs) rely on the depth of the architecture to obtain complex features. It results in computationally expensive models for low-resource IoT devices.
OASIS: [2, 3, 4, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 24, 28, 41, 42, 43, 46, 47, 49, 50, 51, 52, 53, 54, 60] CANDI: [2, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15 ...
This study was conducted to assess prediction models for production indexes in batches of growing pigs using performance regressors (period of the year and farm size). A database containing 663 ...
Electrochemical Energy Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland ...
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