Search Results for author: Zhenlong Li

Found 7 papers, 2 papers with code

Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping

no code implementations26 Feb 2024 Temitope Akinboyewa, Huan Ning, M. Naser Lessani, Zhenlong Li

Results show that the proposed approach can rapidly provide a consistent and reliable estimation of floodwater depth from flood photos.

Depth Estimation

Autonomous GIS: the next-generation AI-powered GIS

1 code implementation10 May 2023 Zhenlong Li, Huan Ning

Large Language Models (LLMs), such as ChatGPT, demonstrate a strong understanding of human natural language and have been explored and applied in various fields, including reasoning, creative writing, code generation, translation, and information retrieval.

Code Generation Information Retrieval +2

An optimal sensors-based simulation method for spatiotemporal event detection

no code implementations16 Aug 2022 Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson

In this paper, we propose an optimal sensors-based simulation method for spatiotemporal event detection using human activity signals derived from taxi trip data.

Event Detection

Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data

1 code implementation8 Feb 2021 Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Martin Yago, Huan Ning, Michael E. Hodgson, Xiaoming Li

In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement.

Social and Information Networks

Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level

no code implementations26 Nov 2020 Yago Martin, Zhenlong Li, Yue Ge

The study of migrations and mobility has historically been severely limited by the absence of reliable data or the temporal sparsity of the available data.

Simulating multi-exit evacuation using deep reinforcement learning

no code implementations11 Jul 2020 Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li

We propose a multi-exit evacuation simulation based on Deep Reinforcement Learning (DRL), referred to as the MultiExit-DRL, which involves in a Deep Neural Network (DNN) framework to facilitate state-to-action mapping.

reinforcement-learning Reinforcement Learning (RL)

Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks

no code implementations28 Dec 2019 Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang

The results of this study prove the possibility of multispectral-to-nighttime translation and further indicate that, with the additional social media data, the generated nighttime imagery can be very similar to the ground-truth imagery.

Translation

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