All Outputs (45)

Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance. (2023)
Journal Article
FORBES-MCKAY, K.E., BREMNER, P.A.M., JOHNSTON, P. and AIR, C. [2024]. Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance. Journal of applied research in higher education [online], EarlyCite. Available from: https://doi.org/10.1108/jarhe-06-2023-0253

This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Three hundred an... Read More about Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance..

C-NEST: cloudlet based privacy preserving multidimensional data stream approach for healthcare electronics. (2023)
Journal Article
SRIVASTAVA, G., MEKALA, M.S., HAJAR, M.S. and KALUTARAGE, H. 2023. C-NEST: cloudlet based privacy preserving multidimensional data stream approach for healthcare electronics. IEEE transactions on consumer electronics [online], Early Access. Available from: https://doi.org/10.1109/TCE.2023.3342635

The Medical Internet of Things (MIoT) facilitates extensive connections between cyber and physical "things" allowing for effective data fusion and remote patient diagnosis and monitoring. However, there is a risk of incorrect diagnosis when data is t... Read More about C-NEST: cloudlet based privacy preserving multidimensional data stream approach for healthcare electronics..

Fault detection and localisation in LV distribution networks using a smart meter data-driven digital twin. (2023)
Journal Article
NUMAIR, M., ABOUSHADY, A.A., ARRAÑO-VARGAS, F., FARRAG, M.E. and ELYAN, E. 2023. Fault detection and localisation in LV distribution networks using a smart meter data-driven digital twin. Energies [online], 16(23), 7850. Available from: https://doi.org/10.3390/en16237850

Modern solutions for precise fault localisation in Low Voltage (LV) Distribution Networks (DNs) often rely on costly tools such as the micro-Phasor Measurement Unit (𝜇 PMU), which is potentially impractical for the large number of nodes in LVDNs. Thi... Read More about Fault detection and localisation in LV distribution networks using a smart meter data-driven digital twin..

Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm. (2023)
Journal Article
ZHAO, J., LI, Y., LEI, H., REN, J., ZHANG, F. and SHEN, H. 2023. Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm. ACTA geophysica [online], Early Access. Available from: https://doi.org/10.1007/s11600-023-01222-1

Based on an analysis of the information processing mechanism in the primary visual cortex of biological vision, this study proposes an integration method of bar-combination of shifted filter responses (B-COSFIRE) filter with the differential evolutio... Read More about Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm..

Immersive innovations for the communication of heritage, handcraft and sustainability. (2023)
Journal Article
CROSS, K., MESJAR, L., STEED, J. and JIANG, Y. [2023]. Immersive innovations for the communication of heritage, handcraft and sustainability. International journal of fashion design, technology and education [online], Latest Articles. Available from: https://doi.org/10.1080/17543266.2023.2277264

Textile and fashion brands convey core values through marketing, and in slow-fashion heritage brands this often includes skilled craftsmanship, authenticity, sustainability and provenance. As industry digitalisation continues, brands are employing im... Read More about Immersive innovations for the communication of heritage, handcraft and sustainability..

Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data. (2023)
Journal Article
MA, P., MACDONALD, M., ROUSE, S. and REN, J. 2023. Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data. IEEE journal of oceanic engineering [online], Early Access. Available from: https://doi.org/10.1109/joe.2023.3319741

With the increasing trend of energy transition to low-carbon economies, the rate of offshore structure installation and removal will rapidly accelerate through offshore renewable energy development and oil and gas decommissioning. Knowledge of the lo... Read More about Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data..

PWDformer: deformable transformer for long-term series forecasting. (2023)
Journal Article
WANG, Z., RAN, H., REN, J. and SUN, M. 2024. PWDformer: deformable transformer for long-term series forecasting. Pattern recognition [online], 147, article number 110118. Available from: https://doi.org/10.1016/j.patcog.2023.110118

Long-term forecasting is of paramount importance in numerous scenarios, including predicting future energy, water, and food consumption. For instance, extreme weather events and natural disasters can profoundly impact infrastructure operations and po... Read More about PWDformer: deformable transformer for long-term series forecasting..

Robust cardiac segmentation corrected with heuristics. (2023)
Journal Article
CERVANTES-GUZMÁN, A., MCPHERSON, K., OLVERES, J., MORENO-GARCÍA, C.F., ROBLES, F.T., ELYAN, E. and ESCALANTE-RAMÍREZ, B. 2023. Robust cardiac segmentation corrected with heuristics. PLoS ONE [online], 18(10), article e0293560. https://doi.org/10.1371/journal.pone.0293560

Cardiovascular diseases related to the right side of the heart, such as Pulmonary Hypertension, are some of the leading causes of death among the Mexican (and worldwide) population. To avoid invasive techniques such as catheterizing the heart, improv... Read More about Robust cardiac segmentation corrected with heuristics..

Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging. (2023)
Journal Article
TANG, Y., YANG, J., ZHUANG, J., HOU, C., MIAO, A., REN, J., HUANG, H., TAN, Z. and PALIWAL, J. 2023. Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspecral imaging. Computers and electronics in agriculture [online], 214, article number 108348. Available from: https://doi.org/10.1016/j.compag.2023.108348

Citrus fruit are susceptible to Colletotrichum gloeosporioides infestation during postharvest and shelf storage. Early and accurate detection of citrus anthracnose is conducive for carrying out targeted pesticide control and mitigating the potential... Read More about Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging..

3R: a reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks. (2023)
Journal Article
HAJAR, M.S., KALUTARAGE, H.K. and AL-KADRI, M.O. 2023. 3R: a reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks. Computer networks [online], 237, article number 110073. Available from: https://doi.org/10.1016/j.comnet.2023.110073

Interest in the Wireless Medical Sensor Network (WMSN) is rapidly gaining attention thanks to recent advances in semiconductors and wireless communication. However, by virtue of the sensitive medical applications and the stringent resource constraint... Read More about 3R: a reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks..

ASXC2 approach: a service-X cost optimization strategy based on edge orchestration for IIoT. (2023)
Journal Article
MEKALA, M.S., DHIMAN, G., PARK, J.H., JUNG, H.-Y. and VIRIYASITAVAT, W. 2023. ASXC2 approach: a service-X cost optimization strategy based on edge orchestration for IIoT. IEEE transactions on industrial informatics [online], Early Access. Available from: https://doi.org/10.1109/TII.2023.3315744

Most computation-intensive industry applications and servers encounter service-reliability challenges due to the limited resource capability of the edge. Achieving quality data fusion and accurate service reliability with optimized service-x executio... Read More about ASXC2 approach: a service-X cost optimization strategy based on edge orchestration for IIoT..

RLIS: resource limited improved security beyond fifth generation networks using deep learning algorithms. (2023)
Journal Article
SELVARAJAN, S., MANOHARAN, H., KHADIDOS, A.O., SHANKAR, A., MEKALA, M.S. and KHADIDOS, A.O. 2023. RLIS: resource limited improved security beyond fifth generation networks using deep learning algorithms. IEEE open journal of the Communications Society [online], 4, pages 2383-2396. Available from: https://doi.org/10.1109/OJCOMS.2023.3318860

This study explores the feasibility of allocating finite resources beyond fifth generation networks for extended reality applications through the implementation of enhanced security measures via offloading analysis (RLIS). The quantification of resou... Read More about RLIS: resource limited improved security beyond fifth generation networks using deep learning algorithms..

Hyperspectral imaging based corrosion detection in nuclear packages. (2023)
Journal Article
ZABALZA, J., MURRAY, P., BENNETT, S., CAMPBELL, A.J., MARSHALL, S., REN, J., YAN, Y., BERNARD, R., HEPWORTH, S., MALONE, S., COCKBAIN, N., OFFIN, D. and HOLLIDAY, C. 2023. Hyperspectral imaging based corrosion detection in nuclear packages. IEEE sensors journal [online], 23(21), pages 25607-25617. Available from: https://doi.org/10.1109/jsen.2023.3312938

In the Sellafield nuclear site, intermediate level waste and special nuclear material is stored above ground in stainless steel packages or containers, with thousands expected to be stored for several decades before permanent disposal in a geological... Read More about Hyperspectral imaging based corrosion detection in nuclear packages..

They gave me an opportunity, and I took it: motivations and concerns of adult apprentices. (2023)
Journal Article
SMITH, S., FABIAN, K., TAYLOR-SMITH, E., BARR, M., BERG, T., BRATTON, A., KOLBERG, M., PATERSON, J. and ZARB, M. 2023. They gave me an opportunity, and I took it: motivations and concerns of adult apprentices. Journal of vocational education and training [online] Latest Articles. Available from: https://doi.org/10.1080/13636820.2023.2255576

In the UK context of an ageing population, degree apprenticeships represent a new opportunity to study for a degree while working. Apprentices are full-time employees granted time to study for a degree with a significant workplace learning component.... Read More about They gave me an opportunity, and I took it: motivations and concerns of adult apprentices..

Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. (2023)
Journal Article
RAJAPAKSHA, S., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and MADZUDZO, G. 2023. Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. Journal of information security and applications [online], 77, article number 103570. Available from: https://doi.org/10.1016/j.jisa.2023.103570

Modern automobiles are equipped with a large number of electronic control units (ECUs) to provide safe driver assistance and comfortable services. The controller area network (CAN) provides near real-time data transmission between ECUs with adequate... Read More about Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system..

Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. (2023)
Journal Article
FU, H., SUN, G., ZHANG, L., ZHANG, A., REN, J., JIA, X. and LI, F. 2023. Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. ISPRS journal of photogrammetry and remote sensing [online], 203, pages 115-134. Available from: https://doi.org/10.1016/j.isprsjprs.2023.07.013

The precise classification of land covers with hyperspectral imagery (HSI) is a major research-focused topic in remote sensing, especially using unmanned aerial vehicle (UAV) systems as the abundant data sources have brought severe intra-class spectr... Read More about Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets..

A quantum-inspired sensor consolidation measurement approach for cyber-physical systems. (2023)
Journal Article
MEKALA, M.S., SRIVASTAVA, G., GANDOMI, A.H., PARK, J.H. and JUNG, H.-Y. 2024. A quantum-inspired sensor consolidation measurement approach for cyber-physical systems. IEEE transactions on network science and engineering [online], 11(1), pages 511-524. Available from: https://doi.org/10.1109/TNSE.2023.3301402

Cyber-Physical System (CPS) devices interconnect to grab data over a common platform from industrial applications. Maintaining immense data and making instant decision analysis by selecting a feasible node to meet latency constraints is challenging.... Read More about A quantum-inspired sensor consolidation measurement approach for cyber-physical systems..

A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction. (2023)
Journal Article
WIJEKOON, A. and WIRATUNGA, N. 2023. A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction. Knowledge-based systems [online], 278, article 110830. Available from: https://doi.org/10.1016/j.knosys.2023.110830

Counterfactual explanations highlight actionable knowledge which helps to understand how a machine learning model outcome could be altered to a more favourable outcome. Understanding actionable corrections in source code analysis can be critical to p... Read More about A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction..

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. (2023)
Journal Article
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2023. Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Computer and security [online], 133, article 103388. Available from: https://doi.org/10.1016/j.cose.2023.103388

The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in Internet of Things (IoT) systems has gained significant attention in recent years. However, achieving optimal detection performance through DNN training has posed challenge... Read More about Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring..

Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation. (2023)
Journal Article
SUN, G., FU, H., ZHANG, A. and REN, J. 2023. Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation. Cehui xuebao/Acta geodaetica et cartographica sinica [online], 15(7), pages 1148-1163. Available from: https://doi.org/10.11947/j.AGCS.2023.20220542

Hyperspectral remote sensing imagery (HSI) usually contains dozens to hundreds of continuous spectral bands, with the syncretism of spectrum and image, spectral continuity, which can realize fine classification of ground objects and has been widely u... Read More about Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation..