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A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm (2019)
Journal Article
Huang, C., Tian, G., Lan, Y., Peng, Y., Ng, E. Y. K., Hao, Y., …Che, W. (2019). A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm. Frontiers in Neuroscience, 13, https://doi.org/10.3389/fnins.2019.00210

Recent research has reported the application of image fusion technologies in medical images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection of glioma and the diagnosis of Alzheimer’s disease. In our study, a new... Read More

Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm (2019)
Journal Article
Zhang, B., Ren, J., Wang, B., Cheng, Y., & Wei, Z. (2019). Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm. IEEE access : practical innovations, open solutions, doi:10.1109/access.2019.2902217

Diseases related to issues with blood pressure are becoming a major threat to human health. With the development of telemedicine monitoring applications, a growing number of corresponding devices are being marketed, such as the usage of remote monito... Read More

Automatic classification method for software vulnerability based on deep neural network (2019)
Journal Article
Huang, G., Li, Y., Wang, Q., Ren, J., Cheng, Y., & Zhao, X. (2019). Automatic classification method for software vulnerability based on deep neural network. IEEE access : practical innovations, open solutions, 1-1. doi:10.1109/access.2019.2900462

Software vulnerabilities are the root causes of various security risks. Once a vulnerability is exploited by malicious attacks, it will greatly compromise the safety of the system, and may even cause catastrophic losses. Hence automatic classificatio... Read More

Predicting blood pressure from physiological index data using the SVR algorithm (2019)
Journal Article
Zhang, B., Ren, H., Huang, G., Cheng, Y., & Hu, C. (2019). Predicting blood pressure from physiological index data using the SVR algorithm. BMC Bioinformatics, 20(1), doi:10.1186/s12859-019-2667-y

Background Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control m... Read More

Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks (2019)
Journal Article
Gope, P., Das, A. K., Kumar, N., & Cheng, Y. (2019). Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks. IEEE Transactions on Industrial Informatics, 1-1. doi:10.1109/tii.2019.2895030

Industrial Wireless Sensor Network (IWSN) is an emerging class of a generalized Wireless Sensor Network (WSN) having constraints of energy consumption, coverage, connectivity, and security. However, security and privacy is one of the major challenges... Read More

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images (2018)
Journal Article
Chen, W., Yang, Z., Cao, F., Yan, Y., Wang, M., Qing, C., & Cheng, Y. (2018). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, doi:10.1049/iet-ipr.2018.5419

Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely... Read More

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D., Wang, B., Zhao, W., …Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), doi:10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial 11 recognition than humans, provided that the models are trained with massive image databases of 12 human faces. However, it is still a challenge to use existing... Read More

A hybrid active contour segmentation method for myocardial D-SPECT images (2018)
Journal Article
Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., …Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE access : practical innovations, open solutions, 6, 39334-39343. doi:10.1109/ACCESS.2018.2855060

Ischaemic heart disease has become one of the leading causes of mortality worldwide. Dynamic single-photon emission computed tomography (D-SPECT) is an advanced routine diagnostic tool commonly used to validate myocardial function in patients sufferi... Read More

Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data (2018)
Journal Article
Yu, K., Liu, Y., Qing, L., Wang, B., & Cheng, Y. (2018). Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data. IEEE access : practical innovations, open solutions, 6, 37568-37580. doi:10.1109/ACCESS.2018.2852008

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human... Read More

P-CSREC: A New Approach for Personalized Cloud Service Recommendation (2018)
Journal Article
Zhang, C., Li, Z., Li, T., Han, Y., Wei, C., Cheng, Y., & Peng, Y. (2018). P-CSREC: A New Approach for Personalized Cloud Service Recommendation. IEEE access : practical innovations, open solutions, 6, 35946-35956. doi:10.1109/ACCESS.2018.2847631

It is becoming a challenging issue for users to choose a satisfied service to fit their need due to the rapid growing number of cloud services and the vast amount of service type varieties. This paper proposes an effective cloud service recommendatio... Read More

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., …Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. doi:10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., …Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. doi:10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More

A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum (2018)
Journal Article
Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., & Peng, Y. (2018). A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum. IEEE access : practical innovations, open solutions, 6, 27726-27735. doi:10.1109/ACCESS.2018.2840494

With the arrival of the Web 2.0 era and the rapid development of virtual reality (VR) technology in recent years, WebVR technology has emerged as the combination of Web 2.0 and VR. Moreover, the concept of “WebVR + medical science”is also proposed to... Read More

A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images (2018)
Journal Article
Huang, C., Xie, Y., Lan, Y., Hao, Y., Chen, F., Cheng, Y., & Peng, Y. (2018). A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images. IEEE access : practical innovations, open solutions, 6, 36408-36419. doi:10.1109/ACCESS.2018.2839694

Abstract: The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ul... Read More

CDA: A clustering degree based influential spreader identification algorithm in weighted complex network (2018)
Journal Article
Wang, Q., Ren, J., Wang, Y., Zhang, B., Cheng, Y., & Zhao, X. (2018). CDA: A clustering degree based influential spreader identification algorithm in weighted complex network. IEEE access : practical innovations, open solutions, 6, 19550-19559. doi:10.1109/ACCESS.2018.2822844

Identifying the most influential spreaders in a weighted complex network is vital for optimizing utilization of the network structure and promoting the information propagation. Most existing algorithms focus on node centrality, which consider more co... Read More

Security feature measurement for frequent dynamic execution paths in software system (2018)
Journal Article
Wang, Q., Ren, J., Yang, X., Cheng, Y., Davis, D. N., & Hu, C. (2018). Security feature measurement for frequent dynamic execution paths in software system. Security and communication networks, 2018, 1-10. doi:10.1155/2018/5716878

© 2018 Qian Wang et al. The scale and complexity of software systems are constantly increasing, imposing new challenges for software fault location and daily maintenance. In this paper, the Security Feature measurement algorithm of Frequent dynamic e... Read More

A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device (2018)
Journal Article
Abt, G., Yang, D., Cheng, Y., Zhu, J., Xue, D., Abt, G. A., …Peng, Y. (2018). A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device. IEEE access : practical innovations, open solutions, 6, (8364-8375). doi:10.1109/access.2018.2805223. ISSN 2169-3536

This paper presents a novel approach, Adaptive Spectrum Noise Cancellation (ASNC), for motion artifacts removal in Photoplethysmography (PPG) signals measured by an optical biosensor to obtain clean PPG waveforms for heartbeat rate calculation. One c... Read More

An Empirical study on Predicting Blood Pressure using Classification and Regression Trees (2018)
Journal Article
Zhang, B., Wei, Z., Ren, J., Cheng, Y., & Zheng, Z. (2018). An Empirical study on Predicting Blood Pressure using Classification and Regression Trees. IEEE access : practical innovations, open solutions, 6, 21758 - 21768. doi:10.1109/access.2017.2787980

Blood pressure diseases have become one of the major threats to human health. Continuous measurement of blood pressure has proven to be a prerequisite for effective incident prevention. In contrast with the traditional prediction models with low meas... Read More

An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure (2017)
Journal Article
Wang, Q., Ren, J., N Davis, D., & Cheng, Y. (2017). An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure. Intelligent Automation and Soft Computing, 24(2), 399-404. doi:10.1080/10798587.2017.1340135

Frequent pattern mining usually requires much run time and memory usage. In some applications, only the patterns with top frequency rank are needed. Because of the limited pattern numbers, quality of the results is even more important than time and m... Read More

Analysis of the EPSRC Principles of Robotics in regard to key research topics (2017)
Journal Article
Cheng, Y., Davis, D. N., Robinson, P., & Gning, A. (2017). Analysis of the EPSRC Principles of Robotics in regard to key research topics. Connection Science, 29(3), (249-253). doi:10.1080/09540091.2017.1323456. ISSN 0954-0091

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this paper, we review the five rules published in EPSRC Principles of Robotics with a specific focus on future robotics research topics. It is demonstrated through a pictorial represe... Read More