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All Outputs (369)

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines (2022)
Journal Article
Fahim, M., Sharma, V., Cao, T., Canberk, B., & Duong, T. Q. (2022). Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/access.2022.3147602

Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollute our planet. The wind farms monitoring and power generation prediction is... Read More about Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines.

Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images (2022)
Journal Article
Ghandorh, H., Boulila, W., Masood, S., Koubaa, A., Ahmed, F., & Ahmad, J. (2022). Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images. Remote Sensing, 14(3), Article 613. https://doi.org/10.3390/r

Road detection technology plays an essential role in a variety of applications, such as urban planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there has been much development in detecting roads in high-resolution... Read More about Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images.

A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution (2022)
Journal Article
Arif, J., Khan, M. A., Ghaleb, B., Ahmad, J., Munir, A., Rashid, U., & Al-Dubai, A. Y. (2022). A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution. IEEE Access, 10, 12966-12982. https://doi.org/10

Privacy is a serious concern related to sharing videos or images among people over the Internet. As a method to preserve images’ privacy, chaos-based image encryption algorithms have been used widely to fulfil such a requirement. However, these algor... Read More about A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution.

Ransomware: Analysing the Impact on Windows Active Directory Domain Services (2022)
Journal Article
McDonald, G., Papadopoulos, P., Pitropakis, N., Ahmad, J., & Buchanan, W. J. (2022). Ransomware: Analysing the Impact on Windows Active Directory Domain Services. Sensors, 22(3), Article 953. https://doi.org/10.3390/s22030953

Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they are more likely to... Read More about Ransomware: Analysing the Impact on Windows Active Directory Domain Services.

Spatial concept learning and inference on geospatial polygon data (2022)
Journal Article
Westphal, P., Grubenmann, T., Collarana, D., Bin, S., Bühmann, L., & Lehmann, J. (2022). Spatial concept learning and inference on geospatial polygon data. Knowledge-Based Systems, 241, Article 108233. https://doi.org/10.1016/j.knosys.2022.108233

Geospatial knowledge has always been an essential driver for many societal aspects. This concerns in particular urban planning and urban growth management. To gain insights from geospatial data and guide decisions usually authoritative and open data... Read More about Spatial concept learning and inference on geospatial polygon data.

Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus (2022)
Journal Article
Qureshi, S. A., Abidin, Z., Majid, H. A., Ashyap, A. Y., & See, C. H. (2022). Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus. International journal of electronics and communications = Archiv fur Elektronik

In this paper, a metamaterial-based resonator is proposed for the detection of dengue infection. The replaceable top layer can measure the dielectric characteristics of blood samples to detect the dengue virus. The sensor observed a shift in the reso... Read More about Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus.

The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies (2022)
Journal Article
Bahadori-Jahromi, A., Salem, R., Mylona, A., Hasan, A. U., & Zhang, H. (2022). The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies. Sustainability, 14(3), Article 1362. https://doi.org/10.3390/su14031362

Studies have shown that the assumptions used to create dynamic thermal models of buildings do not reflect their actual energy use. Bridging the energy performance gap is vital in ensuring that a designed or retrofitted building meets the energy perfo... Read More about The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies.

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle (2022)
Journal Article
Borsci, S., Lehtola, V. V., Nex, F., Yang, M. Y., Augustijn, E., Bagheriye, L., Brune, C., Kounadi, O., Li, J., Moreira, J., Van Der Nagel, J., Veldkamp, B., Le, D. V., Wang, M., Wijnhoven, F., Wolterink, J. M., & Zurita-Milla, R. (2023). Embedding artifi

The European Union (EU) Commission’s whitepaper on Artificial Intelligence (AI) proposes shaping the emerging AI market so that it better reflects common European values. It is a master plan that builds upon the EU AI High-Level Expert Group guidelin... Read More about Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle.

A Bibliometric Study and Science Mapping Research of Intelligent Decision (2022)
Journal Article
Li, B., Xu, Z., Hong, N., & Hussain, A. (2022). A Bibliometric Study and Science Mapping Research of Intelligent Decision. Cognitive Computation, 14, 989-1008. https://doi.org/10.1007/s12559-022-09993-3

Intelligent decision (ID) has received a great deal of attention and has been integrated into various fields, such as machine learning, fuzzy inference system, and natural language processing. The advanced technologies have become hot topics and have... Read More about A Bibliometric Study and Science Mapping Research of Intelligent Decision.

Assessing and Monitoring of Building Performance by Diverse Methods (2022)
Journal Article
Seminara, P., Vand, B., Sajjadian, S. M., & Tupenaite, L. (2022). Assessing and Monitoring of Building Performance by Diverse Methods. Sustainability, 14(3), Article 1242. https://doi.org/10.3390/su14031242

Buildings are one of the largest contributors to energy consumption and greenhouse gas emissions (GHG) in the world. There is an increased interest in building performance evaluation as an essential practice to design a sustainable building. Building... Read More about Assessing and Monitoring of Building Performance by Diverse Methods.

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing (2022)
Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., …Abbasi, Q. H. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo... Read More about Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing.

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images (2022)
Journal Article
Ieracitano, C., Mammone, N., Versaci, M., Varone, G., Ali, A., Armentano, A., …Morabito, F. C. (2022). A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing, 481, 202-215. http

The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR) have been an important imaging modality for assisting in the diagnosis and management of hospitalised Covid-19 patients. However, their interpretation is time... Read More about A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing (2022)
Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., …H. Abbasi, Q. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo... Read More about Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing.

A multiplayer game model to detect insiders in wireless sensor networks (2022)
Journal Article
Kantzavelou, I., Maglaras, L., Tzikopoulos, P. F., & Katsikas, S. (2022). A multiplayer game model to detect insiders in wireless sensor networks. PeerJ Computer Science, 8, Article e791. https://doi.org/10.7717/peerj-cs.791

Insiders might have incentives and objectives opposed to those of the belonging organization. It is hard to detect them because of their privileges that partially protect them. In Wireless Sensor Networks (WSNs), significant security issues arise, in... Read More about A multiplayer game model to detect insiders in wireless sensor networks.

Investigation of control algorithm for long-stroke fast tool servo system (2022)
Journal Article
Gong, Z., Huo, D., Niu, Z., Chen, W., & Shyha, I. (2022). Investigation of control algorithm for long-stroke fast tool servo system. Precision Engineering, 75, 12-23. https://doi.org/10.1016/j.precisioneng.2022.01.006

Fast tool servo (FTS) is an efficient and reliable method in precision machining for fabricating freeform surfaces or microarrays with sub-micrometric form accuracy. In this paper, a Lorentz force FTS is designed where the voice coil motor is located... Read More about Investigation of control algorithm for long-stroke fast tool servo system.

NapierOne: A modern mixed file data set alternative to Govdocs1 (2022)
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2022). NapierOne: A modern mixed file data set alternative to Govdocs1. Forensic Science International: Digital Investigation, 40, Article 301330. https://doi.org/10.1016/j.fsidi.2021.301330

It was found when reviewing the ransomware detection research literature that almost no proposal provided enough detail on how the test data set was created, or sufficient description of its actual content, to allow it to be recreated by other resear... Read More about NapierOne: A modern mixed file data set alternative to Govdocs1.

Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography (2022)
Journal Article
Ji, Y., Yang, S., Zhou, K., Rocliffe, H. R., Pellicoro, A., Cash, J. L., …Huang, Z. (2022). Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography. Journal of Biomedical Optics, 27(1),

Significance: In order to elucidate therapeutic treatment to accelerate wound healing, it is crucial to understand the process underlying skin wound healing, especially re-epithelialization. Epidermis and scab detection is of importance in the wound... Read More about Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography.

Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity (2022)
Journal Article
Ogunlude, P., Abunomah, O., Hashim, I., Aisueni, F., Ogoun, E., Antwi, S., …Gobina, E. (2022). Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity. International Journal on Engineering, Science and Technology,

Different membranes covering the macroporous to nano-pororous range and having different porosities have been used to study the mass transfer of methane and carbon dioxide single gases. The effect of flow parameters on the transport mechanisms throug... Read More about Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity.