All Outputs (115)

Multi-criteria material selection for casing pipe in shale gas wells application. (2022)
Journal Article
MOHAMMED, A.I., BARTLETT, M., OYENEYIN, B., KAYVANTASH, K. and NJUGUNA, J. 2022. Multi-criteria material selection for casing pipe in shale gas wells application. Journal of petroleum exploration and production technology [online], 12(12), pages 3183-3199. Available from: https://doi.org/10.1007/s13202-022-01506-0

The conventional method of casing selection is based on availability and/or order placement to manufacturers based on certain design specifications to meet the anticipated downhole conditions. This traditional approach is very much dependent on exper... Read More about Multi-criteria material selection for casing pipe in shale gas wells application..

Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security. (2022)
Conference Proceeding
RAJAPAKSHA, S., KALUTARAGE, H., AL-KADRI, M.O., MADZUDZO, G. and PETROVSKI, A.V. 2022. Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security. In Jančárková, T., Visky, G. and Winther, I. (eds.). Proceedings of 14th International conference on Cyber conflict 2022 (CyCon 2022): keep moving, 31 May - 3 June 2022, Tallinn, Estonia. Tallinn: CCDCOE, pages 309-330. Hosted on IEEE Xplore [online]. Available from: https://doi.org/10.23919/CyCon55549.2022.9811048

The growth of information technologies has driven the development of the transportation sector, including connected and autonomous vehicles. Due to its communication capabilities, the controller area network (CAN) is the most widely used in-vehicle c... Read More about Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security..

IR-capsule: two-stream network for face forgery detection. (2022)
Journal Article
LIN, K., HAN, W., LI, S., GU, Z., ZHAO, H., REN, J., ZHU, L. and LV, J. 2023 IR-capsule: two-stream network for face forgery detection. Cognitive computation [online], 15(1), pages 13-22. Available from: https://doi.org/10.1007/s12559-022-10008-4

With the emergence of deep learning, generating forged images or videos has become much easier in recent years. Face forgery detection, as a way to detect forgery, is an important topic in digital media forensics. Despite previous works having made r... Read More about IR-capsule: two-stream network for face forgery detection..

Social relationship analysis using state-of-the-art embeddings. (2022)
Journal Article
ANWAR, S., BEG, M.O., SALEEM, K., AHMED, Z., JAVED, A.R. and TARIQ, U. 2023. Social relationship analysis using state-of-the-art embeddings. ACM Transactions on Asian and low-resource language information processing [online], 22(5), article number 138. Available from: https://doi.org/10.1145/3539608

Detection of human relationships from their interactions on social media is a challenging problem with a wide range of applications in different areas, like targeted marketing, cyber-crime, fraud, defense, planning, and human resource, to name a few.... Read More about Social relationship analysis using state-of-the-art embeddings..

Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks. (2022)
Conference Proceeding
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2022. Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks. In CPPS '22: proceedings of the 8th ACM (Association for Computing Machinery) Cyber-physical system security workshop 2022 (CPSS '22), co-located with the 17th ACM (Association for Computing Machinery) Asia conference on computer and communications security 2022 (ASIACCS '22) Nagasaki, Japan (virtual event). New York: ACM [online], pages 41-51. Available from: https://doi.org/10.1145/3494107.3522772

Internet of Things (IoT) devices are becoming increasingly popular and an integral part of our everyday lives, making them a lucrative target for attackers. These devices require suitable security mechanisms that enable robust and effective detection... Read More about Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks..

Developing secured android applications by mitigating code vulnerabilities with machine learning. (2022)
Conference Proceeding
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and PIRAS, L. 2022. Developing secured android applications by mitigating code vulnerabilities with machine learning. In ASIA CCS '22: proceedings of the 17th ACM (Association for Computing Machinery) Asia conference on computer and communications security 2022 (ASIA CCS 2022), 30 May - 3 June 2022, Nagasaki, Japan. New York: ACM [online], pages 1255-1257. Available from: https://doi.org/10.1145/3488932.3527290

Mobile application developers sometimes might not be serious about source code security and publish apps to the marketplaces. Therefore, it is essential to have a fully automated security solutions generator to integrate security-by-design into the d... Read More about Developing secured android applications by mitigating code vulnerabilities with machine learning..

Clinical dialogue transcription error correction using Seq2Seq models. (2022)
Working Paper
NANAYAKKARA, G., WIRATUNGA, N., CORSAR, D., MARTIN, K. and WIJEKOON, A. 2022. Clinical dialogue transcription error correction using Seq2Seq models. arXiv [online]. Available from: https://doi.org/10.48550/arXiv.2205.13572

Good communication is critical to good healthcare. Clinical dialogue is a conversation between health practitioners and their patients, with the explicit goal of obtaining and sharing medical information. This information contributes to medical decis... Read More about Clinical dialogue transcription error correction using Seq2Seq models..

SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images. (2022)
Journal Article
ZHAO, H., FANG, Z., REN, J., MACLELLAN, C., XIA, Y., SUN, M. and REN, K. 2022. SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images. IEEE journal of biomedical and health informatics [online], 26(8), pages 4032-4043. Available from: https://doi.org/10.1109/JBHI.2022.3177854

The pandemic of COVID-19 has become a global crisis in public health, which has led to a massive number of deaths and severe economic degradation. To suppress the spread of COVID-19, accurate diagnosis at an early stage is crucial. As the popularly u... Read More about SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images..

Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image. (2022)
Journal Article
HA, V.K., REN, J., WANG, Z., SUN, G., ZHAO, H. and MARSHALL, S. 2022. Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image. IEEE journal of selected topics in applied earth observations and remote sensing [online], 15, pages 4583-4598. Available from: https://doi.org/10.1109/JSTARS.2022.3176969

Hyperspectral images (HSI) features rich spectral information in many narrow bands but at a cost of a relatively low spatial resolution. As such, various methods have been developed for enhancing the spatial resolution of the low-resolution HSI (Lr-H... Read More about Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image..

Cultural factors related to childhood and adolescent obesity in Mexico: a systematic review of qualitative studies. (2022)
Journal Article
ACEVES-MARTINS, M., LÓPEZ-CRUZ, L., GARCÍA-BOTELLO, M., GODINA-FLORES, N.L., GUTIERREZ-GÓMEZ, Y.Y. and MORENO-GARCÍA, C.F. 2022. Cultural factors related to childhood and adolescent obesity in Mexico: a systematic review of qualitative studies. Obesity reviews [online], 23(9), article e13461. Available from: https://doi.org/10.1111/obr.13461

Culture and culturally specific beliefs or practices may influence perceptions and decisions, potentially contributing to childhood obesity. The objective of this study is to identify the cultural factors (expressed through decisions, behaviors, indi... Read More about Cultural factors related to childhood and adolescent obesity in Mexico: a systematic review of qualitative studies..

Replacing human input in spam email detection using deep learning. (2022)
Conference Proceeding
NICHO, M., MAJDANI, F. and MCDERMOTT, C.D. 2022. Replacing human input in spam email detection using deep learning. In Degen, H. and NTOA, S. (eds.) Artificial intelligence in HCI: proceedings of 3rd International conference on artificial intelligence in HCI (human-computer interaction) 2022 (AI-HCI 2022), co-located with the 24th International conference on human-computer interaction 2022 (HCI International 2022), 26 June - 1 July 2022, [virtual conference]. Lecture notes in artificial intelligence (LNAI), 13336. Cham: Springer [online], pages 387-404. Available from: https://doi.org/10.1007/978-3-031-05643-7_25

The Covid-19 pandemic has been a driving force for a substantial increase in online activity and transactions across the globe. As a consequence, cyber-attacks, particularly those leveraging email as the preferred attack vector, have also increased e... Read More about Replacing human input in spam email detection using deep learning..

Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images. (2022)
Journal Article
SUN, H., ZHANG, L., REN, J. and HUANG, H. 2022. Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images. Pattern recognition [online], 130, article number 108788. Available from: https://doi.org/10.1016/j.patcog.2022.108788

For dimensionality reduction of HSI, many clustering-based unsupervised band selection (UBS) methods have been proposed due to their superiority of reducing the high redundancy between selected bands. However, most of these methods fail to reflect th... Read More about Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images..

Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. (2022)
Journal Article
MOSS, L., CORSAR, D., SHAW, M., PIPER, I. and HAWTHORNE, C. 2022. Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. Neurocritical care [online], 37(Supplement 2): big data in neurocritical care, pages 185-191. Available from: https://doi.org/10.1007/s12028-022-01504-4

Neurocritical care patients are a complex patient population, and to aid clinical decision-making, many models and scoring systems have previously been developed. More recently, techniques from the field of machine learning have been applied to neuro... Read More about Demystifying the black box: the importance of interpretability of predictive models in neurocritical care..

Obesity and oral health in Mexican children and adolescents: systematic review and meta-analysis. (2022)
Journal Article
ACEVES-MARTINS, M., GODINA-FLORES, N.L., GUTIERREZ-GÓMEZ, Y.Y., RICHARDS, D., LÓPEZ-CRUZ, L., GARCÍA-BOTELLO, M. and MORENO-GARCÍA, C.F. 2021. Obesity and oral health in Mexican children and adolescents: systematic review and meta-analysis. Nutrition reviews [online], 80(6), pages 1694-1710. Available from: https://doi.org/10.1093/nutrit/nuab088

Context: A relationship between obesity and poor oral health has been reported. Objective: To investigate the association between overweight/obesity and oral health in Mexican children and adolescents. Data Sources: A literature search was conducted... Read More about Obesity and oral health in Mexican children and adolescents: systematic review and meta-analysis..

Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage. (2022)
Journal Article
CHEN, S., REN, J., YAN, Y., SUN, M., HU, F. and ZHAO, H. 2022. Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage. Computers and electrical engineering [online], 101, article 108046. Available from: https://doi.org/10.1016/j.compeleceng.2022.108046

Accurate detection and early warning of fire hazard are crucial for reducing the associated damages. Due to the limitations of smoke-based detection mechanism, most commercial detectors fail to distinguish the smoke from dust and steam, leading to fr... Read More about Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage..

Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification. (2022)
Journal Article
ZHANG, A., PAN, Z., FU, H., SUN, G., RONG, J., REN, J., JIA, X. and YAO, Y. 2022. Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification. Remote sensing [online], 14(9), article 2125. Available from: https://doi.org/10.3390/rs14092125

Joint sparse representation classification (JSRC) is a representative spectral–spatial classifier for hyperspectral images (HSIs). However, the JSRC is inappropriate for highly heterogeneous areas due to the spatial information being extracted from a... Read More about Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification..

A DRL-based service offloading approach using DAG for edge computational orchestration. (2022)
Journal Article
MEKALA, M.S., DHIMAN, G., SRIVASTAV, G., NAIN, Z., ZHANG, H., VIRIYASITAVAT, W. and VARMA, G.P.S. 2022. A DRL-based service offloading approach using DAG for edge computational orchestration. IEEE transactions on computational social systems [online], Early Access. Available from: https://doi.org/10.1109/tcss.2022.3161627

Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs) with different computation capabilities to run social application's workload based on a leased-price method. The usage of Social Internet of Things (SIoT) applic... Read More about A DRL-based service offloading approach using DAG for edge computational orchestration..

Automation and cyber security risks on the railways: the human factors implications. (2022)
Presentation / Conference
THON, E. and FAILY, S. 2022. Automation and cyber security risks on the railways: the human factors implications. Presented at the 2022 International conference on ergonomics and human factors, part one (EHF2022 Online), 11-12 April 2022, [virtual event].

Automation improves rail passenger experience, but may reduce cyber resilience because it fails to adequately account for human factors. Preliminary results from a study on signallers and automation confirms this, but judicious use of modelling tools... Read More about Automation and cyber security risks on the railways: the human factors implications..

Implementation of NAO robot maze navigation based on computer vision and collaborative learning. (2022)
Journal Article
MAGALLÁN-RAMÍREZ, D., MARTÍNEZ-AGUILAR, J.D., RODRÍGUEZ-TIRADO, A., BALDERAS, D., LÓPEZ-CAUDANA, E.O. AND MORENO-GARCÍA, C.F. 2022. Implementation of NAO robot maze navigation based on computer vision and collaborative learning. Frontiers in robotics and AI [online], 9, article 834021. Available from: https://doi.org/10.3389/frobt.2022.834021

Maze navigation using one or more robots has become a recurring challenge in scientific literature and real life practice, with fleets having to find faster and better ways to navigate environments such as a travel hub, airports, or for evacuation of... Read More about Implementation of NAO robot maze navigation based on computer vision and collaborative learning..

Estimation of chlorophyll concentration for environment monitoring in Scottish marine water. (2022)
Conference Proceeding
YAN, Y., ZHANG, Y., REN, J., HADJAL, M., MCKEE, D., KAO, F.-J., and DURRANI, T. 2022. Estimation of chlorophyll concentration for environment monitoring in Scottish marine water. In Liang, Q., Wang, W., Liu, X., Na, Z. and Zhang, B. (eds.) Communications, signal processing and systems: proceedings of the 10th International conference on Communications, signal processing and systems 2021 (CSPS 2021), 21-22 August 2021, Baishishan, China. Lecture notes in electrical engineering, 878. Singapore: Springer [online], 1, pages 582-587. Available from: https://doi.org/10.1007/978-981-19-0390-8_71

Marine Scotland is tasked with reporting on the environmental status of Scottish marine waters, an enormous area of water extending from the shoreline to deep oceanic waters. As one of the most important variables, chlorophyll concentration (Chl) pla... Read More about Estimation of chlorophyll concentration for environment monitoring in Scottish marine water..