Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion

no code implementations • 19 Apr 2023 • Zuxiang Situ, Qi Wang, Shuai Teng, Wanen Feng, Gongfa Chen, Qianqian Zhou, Guangtao Fu

This study presented a CNN-RNN hybrid feature fusion modelling approach for urban flood prediction, which integrated the strengths of CNNs in processing spatial features and RNNs in analyzing different dimensions of time sequences.

Bayesian Optimization

Optimal Control of Investment for an Insurer in Two Currency Markets

no code implementations • 4 Jun 2020 • Qianqian Zhou, Junyi Guo

In this paper, we study the optimal investment problem of an insurer whose surplus process follows the diffusion approximation of the classical Cramer-Lundberg model.

Vocal Bursts Valence Prediction

A statistical test for correspondence of texts to the Zipf-Mandelbrot law

no code implementations • 25 Dec 2019 • Anik Chakrabarty, Mikhail Chebunin, Artyom Kovalevskii, Ilya Pupyshev, Natalia Zakrevskaya, Qianqian Zhou

Then we estimate Zipf---Mandelbrot law parameters using the same sequence and construct an estimate of the expectation of the number of different words in the text.