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Outputs (101)

Evaluation of wearable epileptic seizure monitors (2022)
Thesis
Rukasha, T. Evaluation of wearable epileptic seizure monitors. (Thesis). Keele University. https://keele-repository.worktribe.com/output/422674

The research presented in this thesis contributes to the evaluation and future evolution of wearable epilepsy seizure monitoring devices with a systematic literature review and three research studies that include two device evaluation studies, and a... Read More about Evaluation of wearable epileptic seizure monitors.

Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks (2022)
Journal Article
Wootton, A. J., Day, C., & Haycock, P. W. (2022). Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks. Structural Health Monitoring, 21(6), 2910-2921. https://doi.org/10.1177/14759217221080718

The degradation of roads is an expensive problem: in the United Kingdom alone, £27 billion was spent on road repairs between 2013 and 2019. One potential cost-saver is the early, non-destructive detection of faults. There are many available technique... Read More about Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks.

MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification (2022)
Journal Article
Mandal, B. (2022). MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification. https://doi.org/10.1007/s42979-022-01024-0

<jats:title>Abstract</jats:title><jats:p>In this work, we propose an attention-based deep convolutional neural network (CNN) model as an assistive computer-aided tool to classify common types of macular diseases: age-related macular degeneration, dia... Read More about MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification.

Towards Uniform Online Spherical Tessellations (2022)
Journal Article
Bell, P., & Potapov, I. (2022). Towards Uniform Online Spherical Tessellations. Discrete and Computational Geometry, 67(4), 1124-1146. https://doi.org/10.1007/s00454-022-00384-x

The problem of uniformly placing points onto a sphere finds applications in many areas. For example, points on the sphere correspond to unit quaternions as well as to the group of rotations SO(3) and the online version of generating uniform rotations... Read More about Towards Uniform Online Spherical Tessellations.

LoRa-LiSK: A Lightweight Shared Secret Key Generation Scheme for LoRa Networks (2022)
Journal Article
Junejo, A. K., Benkhelifa, F., Wong, B., & Mccann, J. A. (2022). LoRa-LiSK: A Lightweight Shared Secret Key Generation Scheme for LoRa Networks. IEEE Internet of Things Journal, 9(6), 4110-4124. https://doi.org/10.1109/jiot.2021.3103009

Physical-layer security (PLS) schemes use the randomness of the channel parameters, namely, channel state information (CSI) and received signal strength indicator (RSSI) to generate the secret keys. There has been limited work in PLS schemes in long-... Read More about LoRa-LiSK: A Lightweight Shared Secret Key Generation Scheme for LoRa Networks.

Can edge waves be generated by wind? (2022)
Journal Article
Shrira, V. I., Sheremet, A., Troitskaya, Y. I., & Soustova, I. A. (2022). Can edge waves be generated by wind?. Journal of Fluid Mechanics, 934, 1-36. https://doi.org/10.1017/jfm.2021.1141

Edge waves, the infragravity waves trapped by near-shore topography, are important in morphodynamics and flooding on mildly sloping beaches. Edge waves are usually generated by swell via triad interactions. Here, we examine the possibility that edge... Read More about Can edge waves be generated by wind?.

A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and
localization of objects in an image or video. It has gained
prominence in recent years due to its widespread applications.
This article surveys recent developments in deep learning based
object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.

Attention Mechanism Guided Deep Regression Model for Acne Severity Grading (2022)
Journal Article
Alzahrani, S., Al-Bander, B., & Al-Nuaimy, W. (2022). Attention Mechanism Guided Deep Regression Model for Acne Severity Grading. Computers, 11(3), 31 - 31. https://doi.org/10.3390/computers11030031

<jats:p>Acne vulgaris is the common form of acne that primarily affects adolescents, characterised by an eruption of inflammatory and/or non-inflammatory skin lesions. Accurate evaluation and severity grading of acne play a significant role in precis... Read More about Attention Mechanism Guided Deep Regression Model for Acne Severity Grading.