A5011503573- Remote Sensing and LiDAR Applications
- Microstructure and Mechanical Properties of Steels
- Metallurgy and Material Forming
- Advanced Neural Network Applications
- Metal Alloys Wear and Properties
- Metal Forming Simulation Techniques
- Water Quality Monitoring Technologies
- Video Surveillance and Tracking Methods
- Microplastics and Plastic Pollution
North China Institute of Aerospace Engineering
2021-2022
Northeastern University
2013-2014
Water surface plastic pollution turns out to be a global issue, having aroused rising attention worldwide. How monitor water waste in real time and accurately collect analyze the relevant numerical data has become hotspot environment research. (1) Background: Over past few years, unmanned aerial vehicles (UAVs) have been progressively adopted conduct studies on monitoring of waste. On whole, monitored are stored UAVS subsequently retrieved analyzed, thereby probably causing loss real-time...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Science. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]A Deep Learning Model Automatic Plastic Waste Monitoring Using Unmanned Aerial Vehicle (UAV) DataAuthorsWenlongHaniDWeiLuoYongtaoJinMengxuZhuSee all authors Wenlong HaniDCorresponding Author•...
Surface roughness control is one of the most important subjects during producing stainless steel strips. In this paper, under conditions introducing to concepts transferring ratio and genetic factor through further theoretical analysis, a set models about strip surface were put forward in cold tandem rolling. Meanwhile, lubrication experiment rolling process SUS430 was carried out order comprehensively study roughness. The effect main factors on analyzed quantitatively, such as reduction,...