Miao Yu

Orcid: 0000-0001-6576-9564

Affiliations:
  • University of Lincoln, School of Computer Science, UK
  • Loughborough University, Department of Aeronautical and Automotive Engineering, Leicester, UK (2013 - 2017)
  • Loughborough University, Electronic and Electrical Engineering Department, Leicester, UK (PhD 2013)


According to our database1, Miao Yu authored at least 28 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction.
IEEE Access, 2024

2023
Optimizing Crop Yield and Reducing Energy Consumption in Greenhouse Control Using PSO-MPC Algorithm.
Algorithms, 2023

2021
A novel unified deep neural networks methodology for use by date recognition in retail food package image.
Signal Image Video Process., 2021

Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN.
Sensors, 2021

A novel computer vision-based data driven modelling approach for person specific fall detection.
J. Ambient Intell. Smart Environ., 2021

2020
Service composition based on pre-joined service network in graph database.
Int. J. Web Grid Serv., 2020

A novel computer vision based gait analysis technique for normal and Parkinson's gaits classification.
Proceedings of the IEEE Intl Conf on Dependable, 2020

A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2018
Multiple Model Ballistic Missile Tracking With State-Dependent Transitions and Gaussian Particle Filtering.
IEEE Trans. Aerosp. Electron. Syst., 2018

A Novel Camera Based Approach for Automatic Expiry Date Detection and Recognition on Food Packages.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
New Multiple-Target Tracking Strategy Using Domain Knowledge and Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptation and contextualization of deep neural network models.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Computer vision based fall detection by a convolutional neural network.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

Online codebook modeling based background subtraction with a moving camera.
Proceedings of the 3rd International Conference on Frontiers of Signal Processing, 2017

A new interacting multiple model particle filter based ballistic missile tracking method.
Proceedings of the 3rd International Conference on Frontiers of Signal Processing, 2017

2016
An enhanced particle filtering method for GMTI radar tracking.
IEEE Trans. Aerosp. Electron. Syst., 2016

2015
An unsupervised acoustic fall detection system using source separation for sound interference suppression.
Signal Process., 2015

A Robust student's-t distribution PHD filter with OCSVM updating for multiple human tracking.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Deep learning for posture analysis in fall detection.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2013
Computer vision based techniques for fall detection with application towards assisted living.
PhD thesis, 2013

An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment.
IEEE J. Biomed. Health Informatics, 2013

2012
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment.
IEEE Trans. Inf. Technol. Biomed., 2012

2011
Fall detection for the elderly in a smart room by using an enhanced one class support vector machine.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multimodal blind source separation for moving sources based on robust beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
A Multimodal Approach to Blind Source Separation of Moving Sources.
IEEE J. Sel. Top. Signal Process., 2010

A robust fall detection system for the elderly in a Smart Room.
Proceedings of the IEEE International Conference on Acoustics, 2010


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