All Outputs (400)

A novel few-shot learning method for synthetic aperture radar image recognition (2021)
Journal Article
Yue, Z., Gao, F., Xiong, Q., Sun, J., Hussain, A., & Zhou, H. (2021). A novel few-shot learning method for synthetic aperture radar image recognition. Neurocomputing, 465, 215-227. https://doi.org/10.1016/j.neucom.2021.09.009

Synthetic aperture radar (SAR) image recognition is an important stage of SAR image interpretation. The standard convolutional neural network (CNN) has been successfully applied in the SAR image recognition due to its powerful feature extraction capa... Read More about A novel few-shot learning method for synthetic aperture radar image recognition.

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks (2021)
Journal Article
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L., & Vallejo, M. (2022). Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Computing and Applications, 34, 1433-1453. https://doi.org/10.1007/s00521-021-06469-7

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challenging task as the signs and symptoms, particularly at an early stage, can be s... Read More about Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks.

Classification of Citrus Plant Diseases Using Deep Transfer Learning (2021)
Journal Article
Zia Ur Rehman, M., Ahmed, F., Attique Khan, M., Tariq, U., Shaukat Jamal, S., Ahmad, J., & Hussain, I. (2022). Classification of Citrus Plant Diseases Using Deep Transfer Learning. Computers, Materials & Continua, 70(1), 1401-1417. https://doi.org/10.32604/cmc.2022.019046

In recent years, the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and fruits. This in turn has helped in improving the quality and production of vegetables and fruits. Ci... Read More about Classification of Citrus Plant Diseases Using Deep Transfer Learning.

Soiling on PV performance influenced by weather parameters in Northern Nigeria (2021)
Journal Article
Chanchangi, Y. N., Ghosh, A., Baig, H., Sundaram, S., & Mallick, T. K. (2021). Soiling on PV performance influenced by weather parameters in Northern Nigeria. Renewable Energy, 180, 874-892. https://doi.org/10.1016/j.renene.2021.08.090

The photovoltaic device's economic and environmental merits have made it the most suitable clean energy alternative to help developing countries achieve the SDG-7. However, the low efficiency of the device, which is undergoing massive study across th... Read More about Soiling on PV performance influenced by weather parameters in Northern Nigeria.

Multicriteria evaluation of the quality of service of informal public transport: An empirical evidence from Ibadan, Nigeria (2021)
Journal Article
Olowosegun, A., Moyo, D., & Gopinath, D. (2021). Multicriteria evaluation of the quality of service of informal public transport: An empirical evidence from Ibadan, Nigeria. Case Studies on Transport Policy, 9(4), 1518-1530. https://doi.org/10.1016/j.cstp.2021.08.002

Developing countries experience a decline in bus public transport investments. Yet informal public transport has continued to grow rapidly. Previous studies have evaluated the Quality of Service (QoS) provided by such informal transport but a multi-c... Read More about Multicriteria evaluation of the quality of service of informal public transport: An empirical evidence from Ibadan, Nigeria.

Surface Treatment of Industrial-Grade Magnetite Particles for Enhanced Thermal Stability and Mitigating Paint Contaminants (2021)
Journal Article
Sinhababu, M., Roy, A., Kumar, N., Dutta, M., Sundaram, S., Karazhanov, S., & Udayabhanu, G. (2021). Surface Treatment of Industrial-Grade Magnetite Particles for Enhanced Thermal Stability and Mitigating Paint Contaminants. Nanomaterials, 11(9), Article 2299. https://doi.org/10.3390/nano11092299

Pigments can retain their color for many centuries and can withstand the effects of light and weather. The paint industry suffers from issues like aggressive moisture, corrosion, and further environmental contamination of the pigment materials. Low-c... Read More about Surface Treatment of Industrial-Grade Magnetite Particles for Enhanced Thermal Stability and Mitigating Paint Contaminants.

An Investigation into Conversion of a Fleet of Plug-in-Electric Golf Carts into Solar Powered Vehicles Using Fuzzy Logic Control (2021)
Journal Article
Saleh, W., Justin, S., Alsawah, G., Malibari, A., & Lashin, M. M. A. (2021). An Investigation into Conversion of a Fleet of Plug-in-Electric Golf Carts into Solar Powered Vehicles Using Fuzzy Logic Control. Energies, 14(17), Article 5536. https://doi.org/10.3390/en14175536

This paper presents an investigation factors that need to be considered in the design and selection of components for the conversion of a fleet of plug-in electric golf carts at Princess Nourah Bint Abdelrahman University, (PNU), Riyadh, Kingdom of S... Read More about An Investigation into Conversion of a Fleet of Plug-in-Electric Golf Carts into Solar Powered Vehicles Using Fuzzy Logic Control.

Partnership or franchising to improve bus services in two major English urban regions? An institutional analysis (2021)
Journal Article
Rye, T., Hrelja, R., Monios, J., & McTigue, C. (2021). Partnership or franchising to improve bus services in two major English urban regions? An institutional analysis. Transport Policy, 114, 59-67. https://doi.org/10.1016/j.tranpol.2021.09.001

This paper analyses two differing approaches to the improvement of local bus services, using the analytical lens of formal and informal institutions. Both formal and informal institutions govern the behaviour of authorities and operators, but they do... Read More about Partnership or franchising to improve bus services in two major English urban regions? An institutional analysis.

Micro-end-milling of carbon nanotube reinforced epoxy nanocomposites manufactured using three roll mill technique (2021)
Journal Article
Le, B., Kernin, A., Khaliq, J., Fu, G., Huo, D., Bilotti, E., Zhang, H., & Shyha, I. (2021). Micro-end-milling of carbon nanotube reinforced epoxy nanocomposites manufactured using three roll mill technique. Journal of Manufacturing Processes, 70, 307-320. https://doi.org/10.1016/j.jmapro.2021.08.048

Carbon nanotubes (CNTs) have been applied as nano-fillers to improve mechanical, thermal and electrical properties of polymers. Despite near net shape techniques could be used to manufacture nanocomposites, micromachining processes are still necessar... Read More about Micro-end-milling of carbon nanotube reinforced epoxy nanocomposites manufactured using three roll mill technique.

Structural Optimisation of Offshore Direct-Drive Wind Turbine Generators Including Static and Dynamic Analyses (2021)
Journal Article
Tartt, K., Kazemi Amiri, A., McDonald, A., & Jaen-Sola, P. (2021). Structural Optimisation of Offshore Direct-Drive Wind Turbine Generators Including Static and Dynamic Analyses. Journal of Physics: Conference Series, 2018(1), Article 012040. https://doi.org/10.1088/1742-6596/2018/1/012040

One way to achieve increased wind capacity is by installing larger and more efficient wind turbines, which results in larger/heavier generators. Direct-drive, permanent magnet generators are favoured due to their increased efficiency, but the added w... Read More about Structural Optimisation of Offshore Direct-Drive Wind Turbine Generators Including Static and Dynamic Analyses.

An Accessible Method of Embedding Fibre Optic Sensors on Lithium-ion Battery Surface for in-situ Thermal Monitoring (2021)
Journal Article
Alcock, K., Grammel, M., González-Vila, A., Binetti, L., Goh, K., & Alwis, L. (2021). An Accessible Method of Embedding Fibre Optic Sensors on Lithium-ion Battery Surface for in-situ Thermal Monitoring. Sensors and Actuators A: Physical, 332(1), Article 113061. https://doi.org/10.1016/j.sna.2021.113061

Presented is a proof of concept to evaluate the suitability of a mounting technique for fibre optic sensors (FOSs) to measure Lithium-ion Battery (LIB) temperature. Two mounting techniques for the optical fibre, i.e. containing multiple Fibre Bragg G... Read More about An Accessible Method of Embedding Fibre Optic Sensors on Lithium-ion Battery Surface for in-situ Thermal Monitoring.

The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection (2021)
Journal Article
Akbari, M., Shahbazzadeh, M. J., La Spada, L., & Khajehzadeh, A. (2021). The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection. Applied Sciences, 11(17), Article 8114. https://doi.org/10.3390/app11178114

The graphene-based Field Effect Transistors (GFETs), due to their multi-parameter characteristics, are growing rapidly as an important detection component for the apt detection of disease biomarkers, such as DNA, in clinical diagnostics and biomedica... Read More about The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection.

A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions (2021)
Journal Article
Saha, R., Geetha, G., Kumar, G., Buchanan, W. J., & Kim, T. (2021). A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions. Applied Sciences, 11(17), Article 8073. https://doi.org/10.3390/app11178073

Cryptographic algorithms and functions should possess some of the important functional requirements such as: non-linearity, resiliency, propagation and immunity. Several previous studies were executed to analyze these characteristics of the cryptogra... Read More about A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions.

Perception of Drone Application and Practicality among Environmental, Health and Safety Practitioners at Building Construction Sites in Malaysia (2021)
Journal Article
Maha Yudden, M. K. A., Mohd Saudi, A. S., Mahmud, M. M., Ali, F., Shafii, N. Z., Zakri, L., Kamarudin, M. K. A., Mohd Saudi, M., Muhammad-Sukki, F., & Ali, M. H. (2021). Perception of Drone Application and Practicality among Environmental, Health and Safety Practitioners at Building Construction Sites in Malaysia. Journal of Occupational Safety and Health, 18(1), 47-56

Safety management in the construction sector is still lagging in terms of technological involvement. A new drone application was proposed as a new inspection tool for a small-scale aerial drone that will give advantages to Environmental, Health and S... Read More about Perception of Drone Application and Practicality among Environmental, Health and Safety Practitioners at Building Construction Sites in Malaysia.

A New Ensemble-Based Intrusion Detection System for Internet of Things (2021)
Journal Article
Abbas, A., Khan, M. A., Latif, S., Ajaz, M., Shah, A. A., & Ahmad, J. (2022). A New Ensemble-Based Intrusion Detection System for Internet of Things. Arabian Journal for Science and Engineering, 47, 1805-1819. https://doi.org/10.1007/s13369-021-06086-5

The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few years by drastically transforming human lives to automate their ordinary daily tasks. This is achieved by interconnecting heterogeneous physical devices with... Read More about A New Ensemble-Based Intrusion Detection System for Internet of Things.

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset (2021)
Journal Article
Umair, M., Khan, M. S., Ahmed, F., Baothman, F., Alqahtani, F., Alian, M., & Ahmad, J. (2021). Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset. Sensors, 21(17), Article 5813. https://doi.org/10.3390/s21175813

The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives since then. More than three million lives have been engulfed by this newest member of the corona virus family. With the emergence of continuously mutating variants of... Read More about Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.

Intrusion Detection in Critical Infrastructures: A Literature Review (2021)
Journal Article
Panagiotis, F., Taxiarxchis, K., Georgios, K., Maglaras, L., & Ferrag, M. A. (2021). Intrusion Detection in Critical Infrastructures: A Literature Review. Smart Cities, 4(3), 1146-1157. https://doi.org/10.3390/smartcities4030061

Over the years, the digitization of all aspects of life in modern societies is considered an acquired advantage. However, like the terrestrial world, the digital world is not perfect and many dangers and threats are present. In the present work, we c... Read More about Intrusion Detection in Critical Infrastructures: A Literature Review.

Correlation of Studies between Colour, Structure and Mechanical Properties of Commercially Produced ThermoWood® Treated Norway Spruce and Scots Pine (2021)
Journal Article
Torniainen, P., Popescu, C., Jones, D., Scharf, A., & Sandberg, D. (2021). Correlation of Studies between Colour, Structure and Mechanical Properties of Commercially Produced ThermoWood® Treated Norway Spruce and Scots Pine. Forests, 12(9), Article 1165. https://doi.org/10.3390/f12091165

The thermal modification of wood has become the most-commonly commercialised wood modification process globally, with the ThermoWood® process currently being the most dominant. As with all commercial processes, there is a need to have a robust qualit... Read More about Correlation of Studies between Colour, Structure and Mechanical Properties of Commercially Produced ThermoWood® Treated Norway Spruce and Scots Pine.

Pediatric Traffic Injuries on Halloween in the United Kingdom: Prevalence and Injury Severity (2021)
Journal Article
Hsu, L., Wiratama, B. S., Chen, P., Saleh, W., Lin, H., & Pai, C. (2021). Pediatric Traffic Injuries on Halloween in the United Kingdom: Prevalence and Injury Severity. International Journal of Environmental Research and Public Health, 18(17), Article 9093. https://doi.org/10.3390/ijerph18179093

The study results serve as a reminder for parents, children, and drivers to be alert to the danger of traffic crashes on Halloween. The aim of this study was to examine whether Halloween is associated with a higher incidence of traffic injuries and w... Read More about Pediatric Traffic Injuries on Halloween in the United Kingdom: Prevalence and Injury Severity.

Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps (2021)
Journal Article
Li, J., Jiang, F., Yang, J., Kong, B., Gogate, M., Dashtipour, K., & Hussain, A. (2021). Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps. Neurocomputing, 465, 15-25. https://doi.org/10.1016/j.neucom.2021.08.105

Accurate high-definition maps with lane markings are often used as the navigation back-end for commercial autonomous vehicles. Currently, most high-definition maps are manually constructed by human labelling. Therefore, it is urgently required to pro... Read More about Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps.