Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application-Reference-Cited by-同舟云学术

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Viewing Flowers at their Most Beautiful Moments: A Crowd Sensing Application

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Mobility, Sensing and Networking (MSN)
language:
Short-container-title:

Author:

Xiong Weifeng¹,Huang Fangwan¹,Yu Zhiyong¹,Guo Xianwei¹,Lin Binwei¹,Cai Qiquan¹

Affiliation:

1. College of Computer and Data Science Fuzhou University,Fuzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076543/10076544/10076598.pdf?arnumber=10076598

Reference20 articles.

1. Making data visualization more efficient and effective: a survey

2. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

3. O-Mopsi

4. SenseAPP: An IoT-Based Mobile Crowdsensing Application for Smart Cities

5. Enhanced Transfer Learning with ImageNet Trained Classification Layer

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