Qingzhi Liu

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Qingzhi Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

15 Article
1 Conference paper

A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems
Liu, J., Chen, Y., Liu, Q. & Tekinerdogan, B., Apr 2023, In: Computers and Industrial Engineering. 178, 109128.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
2 Citations (Scopus)
Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning
Zhou, X., Liu, Q., Katzin, D., Qian, T., Heuvelink, E. & Marcelis, L. F. M., 1 Aug 2023, In: Computers and Electronics in Agriculture. 211, 107980.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Deep-Learning-Based Rice Phenological Stage Recognition
Qin, J., Hu, T., Yuan, J., Liu, Q., Wang, W., Liu, J., Guo, L. & Song, G., 1 Jun 2023, In: Remote Sensing. 15, 11, 14 p., 2891.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud
Mao, Y., Yan, W., Song, Y., Zeng, Y., Chen, M., Cheng, L. & Liu, Q., 1 Apr 2023, In: IEEE Transactions on Cloud Computing. 11, 2, p. 1667-1677
Research output: Contribution to journal › Article › Academic › peer-review
3 Citations (Scopus)
BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System
Li, J., Li, S., Cheng, L., Liu, Q., Pei, J. & Wang, S., Nov 2022, In: IEEE Transactions on Vehicular Technology. 71, 11, p. 11421-11430 10 p.
Research output: Contribution to journal › Article › Academic › peer-review
2 Citations (Scopus)

Using Deep Learning for Evaluating and Managing Crop Growth Condition based on Multi-Source Images
Zou, D., Tekinerdogan, B. & Liu, Q.
15/06/23 → …
Project: PhD
Growth Cycle Management of Crops in Precision Agriculture
Jiang, Y., Tekinerdogan, B. & Liu, Q.
1/03/23 → …
Project: PhD
Detection of the early onset of plant disease by multi-sensor data
Bai, Y., Tekinerdogan, B. & Liu, Q.
1/05/22 → …
Project: PhD
Knowledge-based data-driven modelling of greenhouse crop production in a subtropical monsoon climate.
Zhou, X., Marcelis, L., Heuvelink, E. & Liu, Q.
1/02/19 → …
Project: PhD

Qingzhi Liu

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems

Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning

Deep-Learning-Based Rice Phenological Stage Recognition

Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud

BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System

Using Deep Learning for Evaluating and Managing Crop Growth Condition based on Multi-Source Images

Growth Cycle Management of Crops in Precision Agriculture

Detection of the early onset of plant disease by multi-sensor data

Knowledge-based data-driven modelling of greenhouse crop production in a subtropical monsoon climate.

Qingzhi Liu

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects