Nanxi Wang

ORCID: 0000-0003-2037-9559
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About
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Research Areas
  • Optical Systems and Laser Technology
  • Infrastructure Resilience and Vulnerability Analysis
  • Advanced optical system design
  • Risk and Safety Analysis
  • Maritime Navigation and Safety
  • Photonic and Optical Devices
  • Supply Chain Resilience and Risk Management
  • Maritime Ports and Logistics
  • Face recognition and analysis
  • Occupational Health and Safety Research
  • Helicobacter pylori-related gastroenterology studies
  • Advanced Measurement and Detection Methods
  • Anomaly Detection Techniques and Applications
  • Infrared Target Detection Methodologies
  • Face and Expression Recognition
  • Advanced Fiber Optic Sensors
  • Adaptive optics and wavefront sensing
  • Gastric Cancer Management and Outcomes
  • Urban and Freight Transport Logistics
  • Biometric Identification and Security
  • Transportation and Mobility Innovations
  • Video Surveillance and Tracking Methods
  • Gastroesophageal reflux and treatments
  • Ocular and Laser Science Research
  • Sharing Economy and Platforms

Sichuan University
2023-2025

State Key Laboratory of Oral Diseases
2023-2025

Xi'an Institute of Optics and Precision Mechanics
2025

Nanyang Technological University
2022-2024

Institute of Microelectronics
2023

Chinese Academy of Sciences
2023

University of Chinese Academy of Sciences
2023

Wuhan University
2020-2021

Shanghai Maritime University
2018-2020

Communication University of China
2012

In order to effectively prevent the spread of COVID-19 virus, almost everyone wears a mask during coronavirus epidemic. This makes conventional facial recognition technology ineffective in many cases, such as community access control, face attendance, security checks at train stations, etc. Therefore, it is very urgent improve performance existing on masked faces. Most current advanced approaches are designed based deep learning, which depend large number samples. However, present, there no...

10.48550/arxiv.2003.09093 preprint EN other-oa arXiv (Cornell University) 2020-01-01

10.1016/j.trd.2025.104649 article EN Transportation Research Part D Transport and Environment 2025-02-01

With improved machine learning models, studies on bankruptcy prediction show accuracy. This paper proposes three relatively newly-developed methods for predicting based real-life data. The result shows among the (support vector machine, neural network with dropout, autoencoder), added layers dropout has highest And a comparison former (logistic regression, genetic algorithm, inductive learning) higher

10.4236/jmf.2017.74049 article EN Journal of Mathematical Finance 2017-01-01

With the rapid development of world economy and trade continuous construction green port, automated container terminal (ACT) has increasingly become direction future development. Layout design is premise ACT construction, which an at least 50-year influence on terminal. Therefore, this paper hopes to analyze typical layout achieve sustainable port. Firstly, a conceptual model presented considering interaction between different areas within when width length are fixed. To select optimal goal...

10.3390/su11102957 article EN Sustainability 2019-05-24

Abstract Adsorption of cefradine onto peanut husk from aqueous solution was investigated in the paper. All experiments were conducted at same adsorbent dose (1.0 g/ml) and temperature 293 K to investigate effects initial concentration cefradine, contact time, ionic strength pH. The results showed that it effective remove acidic medium equilibrium adsorption practically achieved 60 min. presence NaCl or MgCl2 inhibited husk, while CaCl2 enhanced capacity. pseudo-second order kinetic equations...

10.1080/19443994.2012.661268 article EN Desalination and Water Treatment 2012-01-01

In the crime scene, criminals often consciously conceal their facial identity through face-masked disguise, which poses a huge challenge to recognition. Existing disguised face recognition techniques aiming for light even slight occlusions are completely invalid identification. To this end, paper proposes masked method based on person re-identification association, converts problem into an association uncovering between and appearing faces of same person. Based characteristics that technique...

10.1109/ictai50040.2020.00116 article EN 2020-11-01

Oral cavity is an essential reservoir for H. pylori. We aimed to investigate the antibacterial effects of dimethylaminododecyl methacrylate (DMADDM) against Modified giomers were prepared by introducing 0%, 1.25% and 2.5% DMADDM monomers. Broth microdilution assay, spot Alamer Blue PMA-qPCR, crystal violet staining, scanning electron microscopy observation live/dead bacterial staining performed evaluate antibiofilm modified in vitro. Urease qPCR, hematoxylin-eosin ELISA inflammation levels...

10.3390/ijms241713644 article EN International Journal of Molecular Sciences 2023-09-04

The steady growth of container volume and aggressive shipping alliances have intensified competition among terminals. With the rapid development application modern information communication technology, automation is a great way to promote terminals’ sustainable development. objectives this study are analyze key factors influencing transformation provide theoretical guidelines for implementing transformation. Based on literature review, main terminals characterized analyzed. They divided into...

10.1177/03611981231201113 article EN Transportation Research Record Journal of the Transportation Research Board 2023-10-12

With the development of advanced nanofabrication techniques over past decades, different nanostructure-based plasmonic fiber-optic sensors have been developed and presented a low limit detection for various biomolecules. However, owing to both dependence on complex equipment trade-off between fabrication cost sensing performance, nanostructured are rarely used outside laboratories. To facilitate wider application sensors, parylene-mediated hybrid plasmonic-photonic cavity-based sensor was...

10.1039/d3an00028a article EN The Analyst 2023-01-01

Since the surveillance cameras are usually mounted at a high position to overlook targets, tilt-angle faces on overhead view common in public video environment. Face recognition approaches based deep learning models have achieved excellent performance, but there remains large gap for overlooking scenarios. The results of face depend not only structure model, also completeness and diversity training samples. existing multi-pose datasets do cover complete top-view samples, trained by them thus...

10.1109/icip42928.2021.9506052 article EN 2022 IEEE International Conference on Image Processing (ICIP) 2021-08-23
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