A5101812386- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Coastal and Marine Management
- Financial Markets and Investment Strategies
- Market Dynamics and Volatility
- Online Learning and Analytics
- Energy, Environment, and Transportation Policies
- Coastal and Marine Dynamics
- Insurance and Financial Risk Management
- Traffic Prediction and Management Techniques
- Financial Literacy, Pension, Retirement Analysis
- Remote Sensing and Land Use
- Medical Research and Treatments
- IoT Networks and Protocols
- Water-Energy-Food Nexus Studies
- Data Visualization and Analytics
- Urban Design and Spatial Analysis
- 3D Modeling in Geospatial Applications
- Wastewater Treatment and Reuse
- Cryptography and Data Security
- Gambling Behavior and Treatments
- Privacy-Preserving Technologies in Data
- Sports Analytics and Performance
- Global Energy and Sustainability Research
- Educational Reforms and Innovations
Peking University
2022-2024
Nanjing University of Science and Technology
2022
Beijing Normal University
2020-2022
University of Rochester
2021
Hainan University
2020
Dalian Jiaotong University
2020
Tianjin University of Technology and Education
2018
The acquisition of dynamic coastline change at fine spatial and temporal resolution is essential for enhancing sustainable coastal economic development environmental conservation. Port construction, land reclamation, urban development, sediment deposition have resulted in extensive change. In this study, the coastlines along 56 countries 1990, 2000, 2010, 2015, 2020 were delineated classified into six categories using Landsat time–series images. Five relevant indices, i.e., length, length...
As an important gateway at the intersection of 'Belt and Road' initiative, Guangxi is situated along Beibu Gulf to south endowed with abundant coastal port infrastructure marine biological resources. The remote sensing monitoring location change type transformation its coastline provides valuable scientific data support for sustainable development management zone. study uses Landsat TM/OLI spanningz five time periods from 1990 2020 delineate Guangxi. We use ArcGIS 10.2 visually interpret...
Using the abnormal search volume intensity for lottery-related keywords from Baidu engine, we construct a daily and provincial lottery preference index in China re-examine relationship between stock market return. Consistent with previous studies, find that when is high, stocks will earn positive return short-run, but this effect reverse next few periods. We also have some new findings: (1) total of mainly driven by global not local preference; (2) effects part last longer among regions...
More and more orgainizations institutions make efforts on using external data to improve the performance of AI services. To address privacy security concerns, federated learning has attracted increasing attention from both academia industry securely construct models across multiple isolated providers. In this paper, we studied efficiency problem adapting widely used XGBoost model in real-world applications vertical setting. State-of-the-art frameworks requires large number encryption...
Machine Learning (ML) can provide an advanced lens for K-12 students to get their hands on intriguing patterns from real-world data and has the potential empower young learners with more challenging cognitive skills needed iterative scientific investigation. However, few efforts have been taken unearth unique challenges engage teachers in ML-empowered discovery (SD) learning. Moreover, it is under-explored what scaffolding be designed mitigate challenges. Based our previous study literature...
This paper examines the influence of relative economic policy uncertainty (EPU) on China's foreign direct investment (FDI) inflows. By analyzing EPU levels in China, home country, and global context, study employs a panel fixed-effect model using monthly data collected from seven countries spanning January 2007 to October 2019. The findings are as follows: Firstly, country promotes FDI these increases political risks negatively affects market expectations, causing domestic capital seek...
This paper proposes a new method for data transmission using the Named Data Network (NDN) architecture, and introduces NDN network into online education innovatively.Based on information center (ICN), special advantages of are utilized to improve real-time network.This first builds an Ubuntu-based system platform, simulates behavior Mini-NDN simulation experiments, uses analysis methods analyze delay courses.We theoretically characteristics architecture experimentally verify superiority its...
Abstract Through research on network traffic in recent years, it is found that actual not only has long correlation but also heavy-tailed characteristics. The Alpha stable distribution provides a very useful theoretical tool for such processes. According to the nature of distribution, we need improve relevant parameter value method Fractional Autoregressive Integrated Moving Average model and prediction accuracy model. In this paper, based modelling introduced, validation analyzed using...
Urban buildings and their three-dimensional (3D) morphologies play an important role in influencing urban climates the diffusion of air pollutants. Previous studies on 3D were mainly conducted within cities due to limited data, we still lack understanding features among cities, especially along urban-rural gradients. Here, analyzed gradients for 23 China by using seven landscape metrics concentric buffer method. Then, used a hierarchical clustering method based dynamic time warping (DTW)...
With the rapid development of Power Internet Things and increase in number distributed photovoltaic smart meter (DPSM) technology, edge computing is required to support low-latency service. Current works mainly focus on task offloading, cooperation among devices lack attention. In order reduce execution delay network, a resource sharing architecture based D2D proposed. processing energy consumption DPSM, we propose offloading model faced DPSM. To minimize total delay, formulate Mixed-Integer...