Yao Lu

ORCID: 0009-0002-1555-8931
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About
Contact & Profiles
Research Areas
  • Vehicle License Plate Recognition
  • Digital Rights Management and Security
  • Surgical Simulation and Training
  • Traffic Prediction and Management Techniques
  • Educational Environments and Student Outcomes
  • Design Education and Practice
  • Colorectal Cancer Screening and Detection
  • Building Energy and Comfort Optimization
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Advanced Neural Network Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Electrowetting and Microfluidic Technologies
  • Advanced Data Storage Technologies
  • Video Surveillance and Tracking Methods
  • Advanced Manufacturing and Logistics Optimization
  • Transportation Planning and Optimization
  • Dielectric materials and actuators
  • Traffic control and management
  • Autonomous Vehicle Technology and Safety

South China University of Technology
2023

Sun Yat-sen University
2022

University of Bristol
2022

Tianjin University of Technology
2013-2019

Hebei University of Technology
2011

Background: Laparoscopic surgery has been in great demand over the past decades; it also brought several obstacles, such as increasing difficulty maintaining hemostasis, changes surgical approach, and reduced field of vision. Locating bleeding point can help surgeons to control quickly, however, date, there have no tools designed for automatic tracking laparoscopic operations. Herein, we proposed a spatiotemporal hybrid model based on faster region-based convolutional neural network (RCNN)...

10.21037/atm-22-1914 article EN Annals of Translational Medicine 2022-05-01

Aiming at the problem of low real-time detection and poor portability SSD (Single Shot MultiBox detector) algorithm in moving end, a target based on improved is proposed. The uses MobileNet which merges BN (Batch Normalization) layer as basic feature extract network to compress model size improve speed detection. In data preprocessing stage, set augmentation method designed ensure accuracy For practical application, transplantation carried out Android mobile phone, system terminal realized....

10.1109/icma.2019.8816601 article EN 2022 IEEE International Conference on Mechatronics and Automation (ICMA) 2019-08-01

A novel water-drop power generation system is proposed based on ionic conducting polymer film (ICPF) material in this paper. ICPF a new intelligent material, which has piezoelectric capacity. As can generate charge with using the feature. This device mainly includes generating device, rectifier unit and storage unit. In order to study electricity principle of ICPF, it necessary obtain relationship between deflection ICPF. The applied force corresponding studied by mathematical analysis ANSYS...

10.1109/robio.2013.6739594 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2013-12-01
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