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Browsing by Author "Zhao, Yifan"

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2-D generating function of the zernike polynomials and their application for image classification

Honarvar Shakibaei Asli, Barmak; Flusser, Jan; Zhao, Yifan (IEEE, 2019-12-19)

This work proposes a new approach to find the generating function (GF) of the Zernike polynomials in two dimensional form. Combining the methods of GFs and discrete-time systems, we can develop two dimensional digital ...
An adaptive pig face recognition approach using convolutional neural networks

Marsot, Mathieu; Mei, Jiangqiang; Shan, Xiaocai; Ye, Liyong; Feng, Peng; Yan, Xuejun; Li, Chenfan; Zhao, Yifan (Elsevier, 2020-04-16)

The evolution of agriculture towards intensive farming leads to an increasing demand for animal identification associated with high traceability, driven by the need for quality control and welfare management in agricultural ...
Advanced sensing and control for connected and automated vehicles

Huang, Chao; Du, Haiping; Zhao, Wanzhong; Zhao, Yifan; Yan, Fuwu; Lv, Chen (MDPI, 2022-02-16)

In recent years, connected and automated vehicles (CAV) have been a transformative technology that is expected to reduce emissions and change and improve the safety and efficiency of the mobilities [...]
Advanced uncertainty quantification with dynamic prediction techniques under limited data for industrial maintenance applications.

Grenyer, Alex (Cranfield UniversitySATM, 2021-07)

Engineering systems are expected to function effectively whilst maintaining reliability in service. These systems consist of various equipment units, many of which are maintained on a corrective or time-based basis. ...
An AI-powered navigation framework to achieve an automated acquisition of cardiac ultrasound images

Soemantoro, Raska; Kardos, Attila; Tang, Gilbert; Zhao, Yifan (Springer Nature, 2023-09-11)

Echocardiography is an effective tool for diagnosing cardiovascular disease. However, numerous challenges affect its accessibility, including skill requirements, workforce shortage, and sonographer strain. We introduce a ...
Analysis of autopilot disengagements occurring during autonomous vehicle testing

Lv, Chen; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Wang, Huaji; Millen Dutka, Laura; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2017-12-20)

In present-day highly-automated vehicles, there are occasions when the driving system disengages and the human driver is required to take-over. This is of great importance to a vehicle U+02BC s safety and ride comfort. In ...
Angle-closure assessment in anterior segment OCT images via deep learning

Hao, Huaying; Zhao, Yitian; Yan, Qifeng; Higashita, Risa; Zhang, Jiong; Zhao, Yifan; Xu, Yanwu; Li, Fei; Zhang, Xiulan; Liu, Jiang (Elsevier, 2021-01-07)

Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of angle-closure disease. Currently, the gold standard for diagnostic angle ...
Attention mechanism enhanced spatiotemporal-based deep learning approach for classifying barely visible impact damages in CFRP materials

Deng, Kailun; Liu, Haochen; Cao, Jun; Yang, Lichao; Du, Weixiang; Xu, Yigeng; Zhao, Yifan (Elsevier, 2024-03-14)

Most existing machine learning approaches for analysing thermograms mainly focus on either thermal images or pixel-wise temporal profiles of specimens. To fully leverage useful information in thermograms, this article ...
Automated tortuosity analysis of nerve fibers in corneal confocal microscopy

Zhao, Yitian; Zhang, Jiong; Pereira, Ella; Zheng, Yalin; Su, Pan; Xie, Jianyang; Zhao, Yifan; Shi, Yonggang; Qi, Hong; Liu, Jiang; Liu, Yonghuai (IEEE, 2020-02-17)

Precise characterization and analysis of corneal nerve fiber tortuosity are of great importance in facilitating examination and diagnosis of many eye-related diseases. In this paper we propose a fully automated method for ...
Automatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filter

Zhao, Yitian; Zhao, Yitian; Zheng, Yalin; Liu, Yonghuai; Zhao, Yifan; Luo, Lingling; Yang, Siyuan; Na, Tong; Wang, Yongtian; Liu, Jiang (IEEE, 2017-09-26)

Automated detection of vascular structures is of great importance in understanding the mechanism, diagnosis and treatment of many vascular pathologies. However, automatic vascular detection continues to be an open issue ...
Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network

Liu, Haochen; Li, Wenhan; Yang, Lichao; Deng, Kailun; Zhao, Yifan (Springer, 2022-07-25)

Quantitative defect and damage reconstruction play a critical role in industrial quality management. Accurate defect characterisation in Infrared Thermography (IRT), as one of the widely used Non-Destructive Testing (NDT) ...
Brain functional and effective connectivity based on electroencephalography recordings: a review

Cao, Jun; Zhao, Yifan; Shan, Xiaocai; Wei, Hua-Liang; Guo, Yuzhu; Chen, Liangyu; Erkoyuncu, John Ahmet; Sarrigiannis, Ptolemaios Georgios (Wiley, 2021-10-20)

Functional connectivity and effective connectivity of the human brain, representing statistical dependence and directed information flow between cortical regions, significantly contribute to the study of the intrinsic brain ...
Characterisation of cognitive load using machine learning classifiers of electroencephalogram data

Wang, Qi; Smythe, Daniel; Cao, Jun; Hu, Zhilin; Proctor, Karl J.; Owens, Andrew P.; Zhao, Yifan (MDPI, 2023-10-17)

A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It is therefore important to ensure the level of cognitive load associated with safety-critical tasks (such as driving a vehicle) ...
Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles

Lv, Chen; Wang, Huaji; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Matthias, Rebecca; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2018-03-05)

In order to design an advanced human-automation collaboration system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this paper a dynamic model of drivers' neuromuscular ...
Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection

Deng, Kailun; Liu, Haochen; Yang, Lichao; Addepalli, Sri; Zhao, Yifan (Springer, 2023-01-31)

With the increasingly comprehensive utilisation of Carbon Fibre-Reinforced Polymers (CFRP) in modern industry, defects detection and characterisation of these materials have become very important and draw significant ...
A clustering approach to detect faults with multi-component degradations in aircraft fuel systems

Zaporowska, Anna; Liu, Haochen; Skaf, Zakwan; Zhao, Yifan (Elsevier, 2020-12-18)

Accurate fault diagnosis and prognosis can significantly increase the safety and reliability of engineering systems and also reduce the maintenance costs. There is very limited relative research reported on the fault ...
A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection

Zhao, Yifan; Tinsley, Lawrence; Addepalli, Sri; Mehnen, Jorn; Roy, Rajkumar (Elsevier, 2016-06-11)

This paper introduces a coefficient clustering analysis method to detect and quantitatively measure damage occurring in composite materials using pulsed thermographic inspection. This method is based on fitting a low order ...
A combined control systems and machine learning approach to forecasting iceberg flux off Newfoundland

Ross, Jennifer B.; Bigg, Grant R.; Zhao, Yifan; Hanna, Edward (MDPI, 2021-07-09)

Icebergs have long been a threat to shipping in the NW Atlantic and the iceberg season of February to late summer is monitored closely by the International Ice Patrol. However, reliable predictions of the severity of a ...
A compactness based saliency approach for leakages detection in fluorescein angiogram

Zhao, Yitian; Su, Pan; Yang, Jian; Zhao, Yifan; Zheng, Yalin; Wang, Yongtian (Springer Verlag, 2016-07-26)

This study has developed a novel saliency detection method based on compactness feature for detecting three common types of leakage in retinal fluorescein angiogram: large focal, punctate focal, and vessel segment leakage. ...
Comparison of alternatives to amplitude thresholding for onset detection of acoustic emission signals

Bai, F.; Gagar, Daniel; Foote, Peter; Zhao, Yifan (Elsevier, 2016-10-10)

Acoustic Emission (AE) monitoring can be used to detect the presence of damage as well as determine its location in Structural Health Monitoring (SHM) applications. Information on the time difference of the signal generated ...

Browsing by Author "Zhao, Yifan"

Browsing by Author "Zhao, Yifan"

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