All Outputs (40)

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values (2019)
Journal Article
Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE Access, 7, 102232-102238. https://doi.org/10.1109/ACCESS.2019.2929866

© 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the body produce less insulin and causes increased blood sugar, which leads t... Read More about DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values.

A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process (2019)
Journal Article
Aslansefat, K., & Latif-Shabgahi, G. (2020). A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process. IEEE Transactions on Reliability, 69(3), 986-1003. https://doi.org/10.1109/tr.2019.2923893

Dynamic fault tree (DFT) is a top-down deductive technique extended to model systems with complex failure behaviors and interactions. In two last decades, different methods have been applied to improve its capabilities, such as computational complexi... Read More about A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process.

Interpretable emotion recognition using EEG signals (2019)
Journal Article
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019). Interpretable emotion recognition using EEG signals. IEEE Access, 7, 94160-94170. https://doi.org/10.1109/ACCESS.2019.2928691

Electroencephalogram (EEG) signal-based emotion recognition has attracted wide interests in recent years and has been broadly adopted in medical, affective computing, and other relevant fields. However, the majority of the research reported in this f... Read More about Interpretable emotion recognition using EEG signals.

Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments (2019)
Journal Article
Brayshaw, M., Gordon, N. A., & Grey, S. (2019). Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments. Advances in Intelligent Systems and Computing, 998, 1047-1060. https://doi.org/10.1007/978-3-030-22868-2_70

© 2019, Springer Nature Switzerland AG. This paper describes the development of intelligent, social, flexible and game-based pedagogic approaches and their applications in Virtual Learning Environment based Education. Applications of computer science... Read More about Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments.

A clustering based transfer function for volume rendering using gray-gradient mode histogram (2019)
Journal Article
Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E. Y., …Che, W. (2019). A clustering based transfer function for volume rendering using gray-gradient mode histogram. IEEE Access, 7, 80737-80747. https://doi.org/10.1109/ACCESS.2019.2923080

Volume rendering is an emerging technique widely used in the medical field to visualize human organs using tomography image slices. In volume rendering, sliced medical images are transformed into attributes, such as color and opacity through transfer... Read More about A clustering based transfer function for volume rendering using gray-gradient mode histogram.

High precision implicit modeling for patient-specific coronary arteries (2019)
Journal Article
Hong, Q., Li, Q., Wang, B., Liu, K., & Qi, Q. (2019). High precision implicit modeling for patient-specific coronary arteries. IEEE Access, 7, 72020-72029. https://doi.org/10.1109/ACCESS.2019.2920113

High precision geometric reconstruction of patient-specific coronary arteries plays a crucial role in visual diagnosis, treatment decision-making, and the evaluation of the therapeutic effect of interventions in coronary artery diseases. It is also a... Read More about High precision implicit modeling for patient-specific coronary arteries.

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth (2019)
Journal Article
Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

© 2019 The Author(s). Background: Cephalometric analysis is used to evaluate facial growth, to study the anatomical relationships within the face. Cephalometric assessment is based on 2D radiographic images, either the sagittal or coronal planes and... Read More about A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth.

Modern control laws for an articulated robotic arm: Modeling and simulation (2019)
Journal Article
Iqbal, J. (2019). Modern control laws for an articulated robotic arm: Modeling and simulation. Engineering, Technology and Applied Science Research, 9(2), 4057-4061. https://doi.org/10.48084/etasr.2598

The robotic manipulator has become an integral component of modern industrial automation. The current paper deals with the mathematical modeling and non-linear control of this manipulator. DH-parameters are used to derive kinematic model while the dy... Read More about Modern control laws for an articulated robotic arm: Modeling and simulation.

A Survey of the methods on fingerprint orientation field estimation (2019)
Journal Article
Bian, W., Xu, D., Li, Q., Cheng, Y., Jie, B., & Ding, X. (2019). A Survey of the methods on fingerprint orientation field estimation. IEEE Access, 7, 32644-32663. https://doi.org/10.1109/ACCESS.2019.2903601

Fingerprint orientation field (FOF) estimation plays a key role in enhancing the performance of the automated fingerprint identification system (AFIS): Accurate estimation of FOF can evidently improve the performance of AFIS. However, despite the eno... Read More about A Survey of the methods on fingerprint orientation field estimation.

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, Article 210. 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 about A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm.

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, 7, 32423-32433. https://doi.org/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 use of remote monitori... Read More about Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm.

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, 7, 28291-28298. https://doi.org/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 about Automatic classification method for software vulnerability based on deep neural network.

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), Article 109. https://doi.org/10.1186/s12859-019-2667-y

© 2019 The Author(s). 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 pr... Read More about Predicting blood pressure from physiological index data using the SVR algorithm.

Model transformation for analyzing dependability of AADL model by using HiP-HOPS (2019)
Journal Article
Mian, Z., Bottaci, L., Papadopoulos, Y., & Mahmud, N. (2019). Model transformation for analyzing dependability of AADL model by using HiP-HOPS. Journal of Systems and Software, 151, 258-282. https://doi.org/10.1016/j.jss.2019.02.019

The Architecture Analysis and Design Language (AADL) has emerged as a potential future standard in aerospace, automobile and avionics industries for model-based development of dependability-critical systems. As AADL is relatively new, some existing a... Read More about Model transformation for analyzing dependability of AADL model by using HiP-HOPS.

The classification of minor gait alterations using wearable sensors and deep learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The classification of minor gait alterations using wearable sensors and deep learning. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 66(11), 3136-3145. https://doi.org/10.1109/TBME.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The classification of minor gait alterations using wearable sensors and deep learning.

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review (2019)
Journal Article
Kabir, S., & Papadopoulos, Y. (2019). Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review. Safety science, 115, 154-175. https://doi.org/10.1016/j.ssci.2019.02.009

System safety, reliability and risk analysis are important tasks that are performed throughout the system life-cycle to ensure the dependability of safety-critical systems. Probabilistic risk assessment (PRA) approaches are comprehensive, structured... Read More about Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review.

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. https://doi.org/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 about Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks.

Ionic Imbalances and Coupling in Synchronization of Responses in Neurons (2019)
Journal Article
Sadegh-Zadeh, S., Kambhampati, C., & Davis, D. N. (2019). Ionic Imbalances and Coupling in Synchronization of Responses in Neurons. J — Multidisciplinary Scientific Journal, 2(1), 17-40. https://doi.org/10.3390/j2010003

Most neurodegenerative diseases (NDD) are a result of changes in the chemical composition of neurons. For example, Alzheimer's disease (AD) is the product of Aβ peptide deposition which results in changes in the ion concentration. These changes in io... Read More about Ionic Imbalances and Coupling in Synchronization of Responses in Neurons.

Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles (2019)
Journal Article
Wasim, M., Ullah, M., & Iqbal, J. (2019). Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles. Revue Roumaine des Sciences Techniques : Série Électrotechnique et Énergétique, 64(1), 75-80

Unmanned aerial vehicles (UAVs) are extensively used for defense and surveillance applications. To ensure desirable performance under all conditions, a UAV requires an appropriate control strategy. For the design of control law, a complete understand... Read More about Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles.

Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform (2019)
Journal Article
Khan, S. G., Bendoukha, S., Naeem, W., & Iqbal, J. (2019). Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform. Advances in Electrical and Electronic Engineering, 17(3), 275-284. https://doi.org/10.15598/aeee.v17i3.3031

In this paper, an enhanced Integral Sliding Mode-based Linear Quadratic Gaussian (ISM-LQG) controller has been proposed and verified in real-time on a Twin Rotor multi-input-multi-output MIMO System (TRMS). A TRMS serves as a suitable laboratorybased... Read More about Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform.