Ting Yu

ORCID: 0000-0002-9884-429X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Environmental Impact and Sustainability
  • Biofuel production and bioconversion
  • Urban Heat Island Mitigation
  • Supply Chain Resilience and Risk Management
  • Water Quality Monitoring and Analysis
  • Statistical and Computational Modeling
  • Occupational Health and Safety Research
  • Recycling and Waste Management Techniques
  • Energy Load and Power Forecasting
  • Soil Moisture and Remote Sensing
  • Environmental and Agricultural Sciences
  • Advanced Wireless Communication Techniques
  • Soil Geostatistics and Mapping
  • Sustainable Supply Chain Management
  • Wireless Communication Networks Research
  • Hydrological Forecasting Using AI
  • Advanced Adaptive Filtering Techniques
  • Urban Green Space and Health
  • Bioenergy crop production and management
  • Climate variability and models
  • Sustainability and Ecological Systems Analysis
  • Noise Effects and Management

Shandong Jianzhu University
2021-2024

Shandong Agricultural University
2021

Jilin University
2016

Chinese Academy of Surveying and Mapping
2015

The University of Sydney
2009-2011

University of Technology Sydney
2009

Center for Information Technology
2006

This study seeks to improve urban supply chain management and collaborative governance in the context of public health emergencies (PHEs) by integrating fuzzy theory with Back Propagation Neural Network (BPNN) algorithm. By combining these two approaches, an early warning mechanism for risks during PHEs is developed. The employs Matlab software simulate risks, incorporating inference techniques adaptive data modeling capabilities neural networks both training testing. results demonstrate...

10.1038/s41598-024-82966-8 article EN cc-by-nc-nd Scientific Reports 2024-12-28

In this letter, we compare the code acquisition performance of adaptive filter to that correlator in direct sequence spread spectrum (DS/SS) systems. The test variables used are statistically analyzed for both schemes, and then, obtained results comparing detection false-alarm probabilities. Analysis simulation show outperforms under most environments

10.1109/lsp.2006.879481 article EN IEEE Signal Processing Letters 2006-10-18

10.1007/s13198-021-01513-0 article EN International Journal of Systems Assurance Engineering and Management 2021-11-26
Coming Soon ...