Z
Zhihan Lv
Researcher at Qingdao University
Publications - 460
Citations - 14707
Zhihan Lv is an academic researcher from Qingdao University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 54, co-authored 313 publications receiving 8997 citations. Previous affiliations of Zhihan Lv include Chinese Academy of Sciences & Warsaw University of Technology.
Papers
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Proceedings ArticleDOI
Big City 3D Visual Analysis
TL;DR: A big city visual analysis platform based on Web Virtual Reality Geographical Information System (WEBVRGIS) is presented and extensive model editing functions and spatial analysis functions are available.
Journal ArticleDOI
Design of an I-Shaped Less-Than-Truckload Cross-Dock:A Simulation Experiment Study
TL;DR: The results suggest that the required number of receiving dock doors is determined by the arrival frequency of storage vehicles and loading capacity of transport vehicles, and multilevel factorial design is applied to carry out a large-scale simulation experiment.
Journal ArticleDOI
Basic Research Methodology in Wireless Communications: The First Course for Research-Based Graduate Students
TL;DR: An introductory course design for fresh research-based graduate students in wireless communications, which is planned to be delivered immediately after enrollment, and designs the course structure in an introductory manner by tailoring the course contents to a simplistic form and involving only simulations.
Journal ArticleDOI
Distributed Parallel Cooperative Coevolutionary Multi-Objective Large-Scale Immune Algorithm for Deployment of Wireless Sensor Networks
Bin Cao,Bin Cao,Jianwei Zhao,Jianwei Zhao,Po Yang,Zhihan Lv,Xin Liu,Xinyuan Kang,Xinyuan Kang,Shan Yang,Shan Yang,Kai Kang,Amjad Anvari-Moghaddam +12 more
TL;DR: This paper proposes a distributed parallel cooperative coevolutionary multi-objective large-scale immune algorithm that is implemented using the message passing interface (MPI) and addresses the deployment optimization problem efficiently and effectively.
Journal ArticleDOI
Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis
Zhihan Lv,Liang Qiao,Amit Singh +2 more
TL;DR: The application of DPCK-K-means clustering algorithm can ensure the accuracy and stability of behavior classification, which is greatly significant for operators to analyze user behavior and develop personalized services.