Z. Cui

ORCID: 0009-0003-7404-0275
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About
Contact & Profiles
Research Areas
  • Probability and Risk Models
  • Regional Economic and Spatial Analysis
  • Advanced Harmonic Analysis Research
  • Regional Economics and Spatial Analysis
  • Insurance, Mortality, Demography, Risk Management
  • Data Management and Algorithms
  • Internet Traffic Analysis and Secure E-voting
  • Land Use and Ecosystem Services
  • Network Security and Intrusion Detection
  • Geographic Information Systems Studies
  • Wireless Networks and Protocols
  • Spatial and Panel Data Analysis

Changshu Institute of Technology
2022

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2020

Wuhan University
2017-2020

10.1016/j.iref.2025.104123 article EN cc-by-nc-nd International Review of Economics & Finance 2025-04-01

10.1134/s0037446622010165 article EN Siberian Mathematical Journal 2022-01-01

Abstract Intrusion detection represents an efficacious approach for addressing security concerns. However, given the substantial volume and high-dimensional nature of WLAN dataset features, existing methods exhibit limited effectiveness in feature extraction, thereby impacting classification performance. To address above problems, improved deep neural network (DNN) model intrusion was proposed. Firstly, activation function loss a single sparse autoencoders (SAE) were determined through...

10.1093/comjnl/bxae051 article EN The Computer Journal 2024-06-18

Abstract. Enterprises are the basis of urban economic development and an essential factor that affects structure. It is great significance to study spatiotemporal distribution enterprises benefit cities planning development. Based on registration data Administrator for Industry Commerce Wuhan from 1996 2007, in this paper, we analysed city. We divided into 2,356 square grids with a length 2 km counted number different industry categories each grid. Then calculated aggregation intensity index...

10.5194/isprs-archives-xlii-2-w7-5-2017 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2017-09-12

Abstract. Ripley’s K functions are powerful tools for studying the spatial arrangement or spatiotemporal distribution characteristics of geographic phenomena and events in analysis has been used many fields. However, compute-intensive point-wise distance comparisons, edge correction simulations significance test. Although parallel computing technologies have adopted to accelerate functions, previous works haven’t extended optimization from space space-time dimension. This study presents an...

10.5194/isprs-archives-xliii-b4-2020-545-2020 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2020-08-25
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