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All Outputs (145)

Guest Editorial: Special Issue on "Advance in Mobile Edge Computing" (2021)
Journal Article
Yang, X., Tan, Z., & Xu, Y. (2021). Guest Editorial: Special Issue on "Advance in Mobile Edge Computing". Journal of Internet Technology, 22(5),

Cloud computing has a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes more intense with the huge application of the Internet of Things. Mobile Edge Computing processes data at the neare... Read More about Guest Editorial: Special Issue on "Advance in Mobile Edge Computing".

Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research (2021)
Journal Article
Demeke, W., & Ryan, B. (2021). Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research. University of Dar es Salaam Library Journal, 16(2), 105-118

In this paper under-researched methodological issues in information systems research of multilingual interview data collection and translation using translators explored. Observations field notes were collected during the study of the role of ICT for... Read More about Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research.

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques (2021)
Journal Article
Kaur, I., Doja, M. N., Ahmad, T., Ahmad, M., Hussain, A., Nadeem, A., & Abd El-Latif, A. A. (2021). An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques. Computational Intelligence and Neuroscience, 2021, Article 6342226. https://doi.org/10.1155/2021/6342226

Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians and patients to understand better and tolerate future outcomes.... Read More about An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques.

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks (2021)
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022). Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584

The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solutions benefiting from the advancement of emerging technologies such as Wire... Read More about Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks.

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls (2021)
Journal Article
Varone, G., Boulila, W., Lo Giudice, M., Benjdira, B., Mammone, N., Ieracitano, C., Dashtipour, K., Neri, S., Gasparini, S., Morabito, F. C., Hussain, A., & Aguglia, U. (2022). A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. Sensors, 22(1), Article 129. https://doi.org/10.3390/s22010129

Until now, clinicians are not able to evaluate the Psychogenic Non-Epileptic Seizures (PNES) from the rest-electroencephalography (EEG) readout. No EEG marker can help differentiate PNES cases from healthy subjects. In this paper, we have investigate... Read More about A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning (2021)
Journal Article
Parra-Ullauri, J. M., Garcoa-Dominguez, A., Bencomo, N., Zheng, C., Zhen, C., Boubeta-Puig, J., Ortiz, G., & Yang, S. (2022). Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning. Software and Systems Modeling, 21, 1091-1113. https://doi.org/10.1007/s10270-021-00952-4

Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpected and surprising behaviours. This is... Read More about Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning.

An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars (2021)
Journal Article
Wu, H., Liu, Q., Liu, X., Zhang, Y., & Yang, Z. (2022). An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 25, 1923-1949. https://doi.org/10.1007/s11280-021-00988-y

Internet of Things (IoT) has been rapidly developed in recent years, being well applied in the fields of Environmental Surveillance, Smart Grid, Intelligent Transportation, and so on. As one of the typical earth-based meteorological observation metho... Read More about An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars.

Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning (2021)
Journal Article
Hart, E., & Le Goff, L. K. (2022). Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences, 377(1843), https://doi.org/10.1098/rstb.2021.0117

We survey and reflect on evolutionary approaches to the joint optimisation of the body and control of a robot, in scenarios where a the goal is to find a design that maximises performance on a specified task. The review is grounded in a general frame... Read More about Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning.

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning (2021)
Journal Article
Spinelli, I., Scardapane, S., Hussain, A., & Uncini, A. (2022). FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Transactions on Artificial Intelligence, 3(3), 344-354. https://doi.org/10.1109/tai.2021.3133818

Graph representation learning has become a ubiquitous component in many scenarios, ranging from social network analysis to energy forecasting in smart grids. In several applications, ensuring the fairness of the node (or graph) representations with r... Read More about FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

Browsers’ Private Mode: Is It What We Were Promised? (2021)
Journal Article
Hughes, K., Papadopoulos, P., Pitropakis, N., Smales, A., Ahmad, J., & Buchanan, W. J. (2021). Browsers’ Private Mode: Is It What We Were Promised?. Computers, 10(12), Article 165. https://doi.org/10.3390/computers10120165

Web browsers are one of the most used applications on every computational device in our days. Hence, they play a pivotal role in any forensic investigation and help determine if nefarious or suspicious activity has occurred on that device. Our study... Read More about Browsers’ Private Mode: Is It What We Were Promised?.

Attributes Guided Feature Learning for Vehicle Re-Identification (2021)
Journal Article
Li, H., Lin, X., Zheng, A., Li, C., Luo, B., He, R., & Hussain, A. (2022). Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1211-1221. https://doi.org/10.1109/tetci.2021.3127906

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-cla... Read More about Attributes Guided Feature Learning for Vehicle Re-Identification.

A new color image encryption technique using DNA computing and Chaos-based substitution box (2021)
Journal Article
Ahmad, J., Masood, F., Masood, J., Zhang, L., Shaukat Jamal, S., Boulila, W., Rehman, S. U., & Khan, F. A. (2022). A new color image encryption technique using DNA computing and Chaos-based substitution box. Soft Computing, 26(16), 7461-7477. https://doi.org/10.1007/s00500-021-06459-w

In many cases, images contain sensitive information and patterns that require secure processing to avoid risk. It can be accessed by unauthorized users who can illegally exploit them to threaten the safety of people’s life and property. Protecting th... Read More about A new color image encryption technique using DNA computing and Chaos-based substitution box.

A security and authentication layer for SCADA/DCS applications (2021)
Journal Article
Homay, A., Chrysoulas, C., El Boudani, B., de Sousa, M., & Wollschlaeger, M. (2021). A security and authentication layer for SCADA/DCS applications. Microprocessors and Microsystems, 87, Article 103479. https://doi.org/10.1016/j.micpro.2020.103479

Mid 2010, a sophisticated malicious computer worm called Stuxnet targeted major ICS systems around the world causing severe damages to Siemens automation products. Stuxnet proved its ability to infect air-gapped-segregated critical computers control... Read More about A security and authentication layer for SCADA/DCS applications.

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data (2021)
Journal Article
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021). A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), Article 6. https://doi.org/10.4018/joeuc.20211101.oa6

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing dat... Read More about A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data.

Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network (2021)
Journal Article
Latif, S., Huma, Z. E., Jamal, S. S., Ahmed, F., Ahmad, J., Zahid, A., Dashtipour, K., Aftab, M. U., Ahmad, M., & Abbasi, Q. H. (2022). Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network. IEEE Transactions on Industrial Informatics, 18(9), 6435-6444. https://doi.org/10.1109/tii.2021.3130248

The Internet of Things (IoT) devices, networks, and applications have become an integral part of modern societies. Despite their social, economic, and industrial benefits, these devices and networks are frequently targeted by cybercriminals. Hence, I... Read More about Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network.

A VMD and LSTM based hybrid model of load forecasting for power grid security (2021)
Journal Article
Lv, L., Wu, Z., Zhang, J., Tan, Z., Zhang, L., & Tian, Z. (2022). A VMD and LSTM based hybrid model of load forecasting for power grid security. IEEE Transactions on Industrial Informatics, 18(9), 6474-6482. https://doi.org/10.1109/tii.2021.3130237

As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy of supply-demand balance. However, various factors lead to drastic changes... Read More about A VMD and LSTM based hybrid model of load forecasting for power grid security.

Scotland’s History of Animation: An Exploratory Account of the Key Figures and Influential Events (2021)
Journal Article
Mortimer, J., Pilcher, N., & Richards, K. (2021). Scotland’s History of Animation: An Exploratory Account of the Key Figures and Influential Events. Animation, 16(3), 190-206. https://doi.org/10.1177/17468477211052598

Scotland’s history of animation is a forgotten past accomplishment in the animation/VFX sector, with key influential animation professionals having had an impact both at home and abroad. Yet, to date, this history has not been meaningfully documented... Read More about Scotland’s History of Animation: An Exploratory Account of the Key Figures and Influential Events.

When will Immersive Virtual Reality have its day? Challenges to IVR adoption in the home as exposed in studies with teenagers, parents and experts (2021)
Journal Article
Hall, L., Paracha, S., Mitsche, N., Flint, T., Stewart, F., MacFarlane, K., & Hagan-Green, G. (2022). When will Immersive Virtual Reality have its day? Challenges to IVR adoption in the home as exposed in studies with teenagers, parents and experts. Presence: Teleoperators and Virtual Environments, 28, 169-201. https://doi.org/10.1162/pres_a_00347

In response to the pandemic, many countries have had multiple lockdowns punctuated by partial freedoms limiting physically being together. In 2020-21, during the COVID-19 pandemic parents were stressed and exhausted by the challenges of work, home sc... Read More about When will Immersive Virtual Reality have its day? Challenges to IVR adoption in the home as exposed in studies with teenagers, parents and experts.

A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds (2021)
Journal Article
Fatima, M., Nisar, M. W., Rashid, J., Kim, J., Kamran, M., & Hussain, A. (2021). A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds. Sensors, 21(22), Article 7647. https://doi.org/10.3390/s21227647

With the emerging growth of digital data in information systems, technology faces the challenge of knowledge prevention, ownership rights protection, security, and privacy measurement of valuable and sensitive data. On-demand availability of various... Read More about A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds.