All Outputs (403)

Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation (2021)
Journal Article
Lashin, M. M. A., Khokhar, A., Alrowais, F., Malibari, A., & Saleh, W. (2021). Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation. Recycling, 6(3), Article 43. https://doi.org/10.3390/recycling6030043

This paper investigates the mechanical properties of two different types of recycled concrete, which use wood and rubber, relative to those characteristics of pure concrete, in terms of maximum load and natural frequencies. This paper contributes to... Read More about Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation.

Practical Intrusion Detection of Emerging Threats (2021)
Journal Article
Mills, R., Marnerides, A. K., Broadbent, M., & Race, N. (2022). Practical Intrusion Detection of Emerging Threats. IEEE Transactions on Network and Service Management, 19(1), 582-600. https://doi.org/10.1109/TNSM.2021.3091517

The Internet of Things (IoT), in combination with advancements in Big Data, communications and networked systems, offers a positive impact across a range of sectors including health, energy, manufacturing and transport. By virtue of current business... Read More about Practical Intrusion Detection of Emerging Threats.

Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning (2021)
Journal Article
Rehman, M. U., Najam, S., Khalid, S., Shafique, A., Alqahtani, F., Baothman, F., Shah, S. Y., Abbasi, Q. H., Imran, M. A., & Ahmad, J. (2021). Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning. IEEE Sensors Journal, 21(17), 19395-19406. https://doi.org/10.1109/jsen.2021.3091471

The liver is a vital human body organ and its functionality can be degraded by several diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early diagnosis of liver diseases is extremely crucial for saving human... Read More about Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning.

Persistence and stability for a class of forced positive nonlinear delay-differential systems (2021)
Journal Article
Franco, D., Guiver, C., & Logemann, H. (2021). Persistence and stability for a class of forced positive nonlinear delay-differential systems. Acta applicandae mathematicae, 174(1), Article 1 (2021). https://doi.org/10.1007/s10440-021-00414-5

Persistence and stability properties are considered for a class of forced positive non-linear delay-differential systems which arise in mathematical ecology and other applied contexts.The inclusion of forcing incorporates the effects of control actio... Read More about Persistence and stability for a class of forced positive nonlinear delay-differential systems.

Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets (2021)
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021). Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets. Computers and Security, 108, Article 102377. https://doi.org/10.1016/j.cose.2021.102377

The threat from ransomware continues to grow both in the number of affected victims as well as the cost incurred by the people and organisations impacted in a successful attack. In the majority of cases, once a victim has been attacked there remain o... Read More about Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets.

Multi-stage deep learning approaches to predict boarding behaviour of bus passengers (2021)
Journal Article
Tang, T., Fonzone, A., Liu, R., & Choudhury, C. (2021). Multi-stage deep learning approaches to predict boarding behaviour of bus passengers. Sustainable Cities and Society, 73, Article 103111. https://doi.org/10.1016/j.scs.2021.103111

Smart card data has emerged in recent years and provide a comprehensive, and cheap source of information for planning and managing public transport systems. This paper presents a multi-stage machine learning framework to predict passengers’ boarding... Read More about Multi-stage deep learning approaches to predict boarding behaviour of bus passengers.

Public perception of the fifth generation of cellular networks (5G) on social media (2021)
Journal Article
Dashtipour, K., Taylor, W., Ansari, S., Gogate, M., Zahid, A., Sambo, Y., Hussain, A., Abbasi, Q. H., & Imran, M. A. (2021). Public perception of the fifth generation of cellular networks (5G) on social media. Frontiers in Big Data, 4, Article 640868. https://doi.org/10.3389/fdata.2021.640868

With the advancement of social media networks, there are lots of unlabeled reviews available online, therefore it is necessarily to develop automatic tools to classify these types of reviews. To utilize these reviews for user perception, there is a n... Read More about Public perception of the fifth generation of cellular networks (5G) on social media.

6G Opportunities Arising from Internet of Things Use Cases: A Review Paper (2021)
Journal Article
Barakat, B., Taha, A., Samson, R., Steponenaite, A., Ansari, S., Langdon, P. M., Wassell, I. J., Abbasi, Q. H., Imran, M. A., & Keates, S. (2021). 6G Opportunities Arising from Internet of Things Use Cases: A Review Paper. Future Internet, 13(6), Article 159. https://doi.org/10.3390/fi13060159

The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previous generations have experienced. To provide the readers with a clear map of... Read More about 6G Opportunities Arising from Internet of Things Use Cases: A Review Paper.

Extending the Heston model to forecast motor vehicle collision rates (2021)
Journal Article
Shannon, D., & Fountas, G. (2021). Extending the Heston model to forecast motor vehicle collision rates. Accident analysis and prevention, 159, Article 106250. https://doi.org/10.1016/j.aap.2021.106250

We present an alternative approach to the forecasting of motor vehicle collision rates. We adopt an oft-used tool in mathematical finance, the Heston Stochastic Volatility model, to forecast the short-term and long-term evolution of motor vehicle col... Read More about Extending the Heston model to forecast motor vehicle collision rates.

Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System   (2021)
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Tan, Z. (2021). Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System  . Ad hoc networks, 120, Article 102590. https://doi.org/10.1016/j.adhoc.2021.102590

Industrial Control Systems (ICS) are hardware, network, and software, upon which a facility depends to allow daily operations to function. In most cases society takes the operation of such systems, for example public transport, tap water or electrici... Read More about Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System  .

Performance Improvement of a CPV System: Experimental Investigation into Passive Cooling with Phase Change Materials (2021)
Journal Article
Sharma, S., Sellami, N., Tahir, A. A., Mallick, T. K., & Bhakar, R. (2021). Performance Improvement of a CPV System: Experimental Investigation into Passive Cooling with Phase Change Materials. Energies, 14(12), Article 3550. https://doi.org/10.3390/en14123550

High temperature and overheating of photovoltaic panels lead to efficiency losses and eventual degradation. For solar PV systems, this is a significant impediment for achieving economic viability. In this study, a novel Window-Integrated Concentrated... Read More about Performance Improvement of a CPV System: Experimental Investigation into Passive Cooling with Phase Change Materials.

Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2021). Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation. International Journal of Robust and Nonlinear Control, 31(13), 6473-6491. https://doi.org/10.1002/rnc.5630

This article proposes a distributed model-free adaptive consensus tracking control (DMFACTC) approach for a class of unknown heterogeneous nonlinear discrete-time multi-agent systems (MASs) with sensor saturation and measurement disturbance to perfor... Read More about Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation.

Current status and possible future applications of marine current energy devices in Malaysia: A review (2021)
Journal Article
Kai, L. Y., Sarip, S., Kaidi, H. M., Ardila-Rey, J. A., Samsuddin, N. M., Muhtazaruddin, M. N., Muhammad-Sukki, F., & Aziz, S. A. (2021). Current status and possible future applications of marine current energy devices in Malaysia: A review. IEEE Access, 9, 86869-86888. https://doi.org/10.1109/access.2021.3088761

Malaysia has a great potential to harness energy in water due to its long coastline within the South China Sea and the Straits of Malacca. Malaysia’s energy mix could be improved using marine current energy devices (MCEDs) to replace fossil fuel and... Read More about Current status and possible future applications of marine current energy devices in Malaysia: A review.

Investigation of Thermal Stress Arising in a Graphene Neutral Density Filter for Concentrated Photovoltaic System (2021)
Journal Article
Alzahrani, M. M., Roy, A., Sundaram, S., & Mallick, T. K. (2021). Investigation of Thermal Stress Arising in a Graphene Neutral Density Filter for Concentrated Photovoltaic System. Energies, 14(12), Article 3515. https://doi.org/10.3390/en14123515

As an excellent heat spreader candidate, graphene attracts considerable interest concerning its application in concentrated photovoltaic (CPV) systems. The consequences of employing a graphene-coated neutral density (GCND) filter to mitigate concentr... Read More about Investigation of Thermal Stress Arising in a Graphene Neutral Density Filter for Concentrated Photovoltaic System.

Towards Lightweight URL-Based Phishing Detection (2021)
Journal Article
Butnaru, A., Mylonas, A., & Pitropakis, N. (2021). Towards Lightweight URL-Based Phishing Detection. Future Internet, 13(6), Article 154. https://doi.org/10.3390/fi13060154

Nowadays, the majority of everyday computing devices, irrespective of their size and operating system, allow access to information and online services through web browsers. However, the pervasiveness of web browsing in our daily life does not come wi... Read More about Towards Lightweight URL-Based Phishing Detection.

Potential for Carbon-Neutral Advanced Biofuels in UK Road Transport (2021)
Journal Article
King, R., & Tingas, E. (2021). Potential for Carbon-Neutral Advanced Biofuels in UK Road Transport. Journal of Energy Engineering, 147(4), 04021025. https://doi.org/10.1061/%28asce%29ey.1943-7897.0000775

As a result of anthropocentric climate change, there is an urgent need to decarbonize the supply of energy. Organic biomass, referred to as feedstock, can be converted into biofuels that have the potential to decarbonize transport. However, biofuels... Read More about Potential for Carbon-Neutral Advanced Biofuels in UK Road Transport.

Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach (2021)
Journal Article
Van Huynh, N., Nguyen, D. N., Hoang, D. T., & Dutkiewicz, E. (2021). Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach. IEEE Transactions on Communications, 69(9), 5948-5961. https://doi.org/10.1109/tcomm.2021.3088305

In intelligent transportation systems (ITS), vehicles are expected to feature with advanced applications and services which demand ultra-high data rates and low-latency communications. For that, the millimeter wave (mmWave) communication has been eme... Read More about Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach.

State-of-the-Art Review on the Energy Performance of Semi-Transparent Building Integrated Photovoltaic across a Range of Different Climatic and Environmental Conditions (2021)
Journal Article
Khalifeeh, R., Alrashidi, H., Sellami, N., Mallick, T., & Issa, W. (2021). State-of-the-Art Review on the Energy Performance of Semi-Transparent Building Integrated Photovoltaic across a Range of Different Climatic and Environmental Conditions. Energies, 14(12), Article 3412. https://doi.org/10.3390/en14123412

Semi-transparent Building Integrated Photovoltaics provide a fresh approach to the renewable energy sector, combining the potential of energy generation with aesthetically pleasing, multi-functional building components. Employing a range of technolog... Read More about State-of-the-Art Review on the Energy Performance of Semi-Transparent Building Integrated Photovoltaic across a Range of Different Climatic and Environmental Conditions.

Study of Air Pressure and Velocity for Solution Blow Spinning of Polyvinylidene Fluoride Nanofibres (2021)
Journal Article
Atif, R., Combrinck, M., Khaliq, J., Martin, J., Hassanin, A. H., Shehata, N., Elnabawy, E., & Shyha, I. (2021). Study of Air Pressure and Velocity for Solution Blow Spinning of Polyvinylidene Fluoride Nanofibres. Processes, 9(6), Article 1014. https://doi.org/10.3390/pr9061014

Solution blow spinning (SBS) is gaining popularity for producing fibres for smart textiles and energy harvesting due to its operational simplicity and high throughput. The whole SBS process is significantly dependent on the characteristics of the att... Read More about Study of Air Pressure and Velocity for Solution Blow Spinning of Polyvinylidene Fluoride Nanofibres.

Reward-Reinforced Generative Adversarial Networks for Multi-agent Systems (2021)
Journal Article
Zheng, C., Yang, S., Parra-Ullauri, J., Garcia-Dominguez, A., & Bencomo, N. (2022). Reward-Reinforced Generative Adversarial Networks for Multi-agent Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(3), 479 - 488. https://doi.org/10.1109/TETCI.2021.3082204

Multi-agent systems deliver highly resilient and adaptable solutions for common problems in telecommunications, aerospace, and industrial robotics. However, achieving an optimal global goal remains a persistent obstacle for collaborative multi-agent... Read More about Reward-Reinforced Generative Adversarial Networks for Multi-agent Systems.