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All Outputs (625)

Llama-Low Latency Adaptive Media Algorithm (2021)
Presentation / Conference Contribution
Lyko, T., Broadbent, M., Race, N., Nilsson, M., Farrow, P., & Appleby, S. (2021). Llama-Low Latency Adaptive Media Algorithm. In 2020 IEEE International Symposium on Multimedia (ISM) (113-121). https://doi.org/10.1109/ISM.2020.00027

In the recent years, HTTP Adaptive Bit Rate (ABR) streaming including Dynamic Adaptive Streaming over HTTP (DASH) has become the most popular technology for video streaming over the Internet. The client device requests segments of content using HTTP,... Read More about Llama-Low Latency Adaptive Media Algorithm.

Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition (2021)
Journal Article
Rahal, N., Tounsi, M., Hussain, A., & Alimi, A. M. (2021). Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition. IEEE Access, 9, 18569-18584. https://doi.org/10.1109/access.2021.3053618

One of the most recent challenging issues of pattern recognition and artificial intelligence is Arabic text recognition. This research topic is still a pervasive and unaddressed research field, because of several factors. Complications arise due to t... Read More about Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition.

Considering Generic Study Skills and the roles of Academic Advisers (2021)
Presentation / Conference Contribution
Richards, K., & Pilcher, N. (2021, January). Considering Generic Study Skills and the roles of Academic Advisers. Presented at ScotHELD Winter 2021 Conference, Online

In this short session we draw on work we have done over a number of years but primarily on a recent paper published in Teaching in Higher Education entitled ‘Study Skills: neoliberalism’s perfect Tinkerbell.’ We outline our own roles in the UK and Au... Read More about Considering Generic Study Skills and the roles of Academic Advisers.

A New Functional Composite for Photovoltaic and Sensor Applications (2021)
Journal Article
Ghosh, P., Roy, A., Mukhopadhyay, S., Narjinary, M., Sundaram, S., Sen, S., & Devi, P. S. (2021). A New Functional Composite for Photovoltaic and Sensor Applications. Advanced Electronic Materials, 7(3), Article 2000785. https://doi.org/10.1002/aelm.20200

As a preliminary drive to eventually develop dye-sensitized solar cell (DSSC)-powered gas sensors, many oxide-based systems have been explored to fabricate sensors that can show response at room temperature for any analyte gas. As an outcome of recen... Read More about A New Functional Composite for Photovoltaic and Sensor Applications.

Experimental and theoretical study of bond behaviour between FRP bar and high-volume fly ash-self-compacting concrete (2021)
Journal Article
Zheng, Y., Zhou, N., Zhou, L., Zhang, H., Li, H., & Zhou, Y. (2021). Experimental and theoretical study of bond behaviour between FRP bar and high-volume fly ash-self-compacting concrete. Materials and Structures, 54, Article 27 (2021). https://doi.org/10

The combination of fibre-reinforced polymer (FRP) and high-volume fly ash self-compacting concrete (HVFA-SCC) reinforced is expected to solve the problem of steel corrosion in traditional structures and develop sustainable infrastructures. Bond behav... Read More about Experimental and theoretical study of bond behaviour between FRP bar and high-volume fly ash-self-compacting concrete.

On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers (2021)
Presentation / Conference Contribution
Zhang, S., Loweimi, E., Bell, P., & Renals, S. (2021). On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers. In 2021 IEEE Spoken Language Technology Workshop (SLT). https://doi.org/10.1109/slt48900.2021.9383521

Self-attention models such as Transformers, which can capture temporal relationships without being limited by the distance between events, have given competitive speech recognition results. However, we note the range of the learned context increases... Read More about On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers.

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures (2021)
Journal Article
Varone, G., Hussain, Z., Sheikh, Z., Howard, A., Boulila, W., Mahmud, M., …Hussain, A. (2021). Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures. Sensors, 21(2), Article 637. https://doi.

Transcranial magnetic stimulation (TMS) excites neurons in the cortex, and neural activity can be simultaneously recorded using electroencephalography (EEG). However, TMS-evoked EEG potentials (TEPs) do not only reflect transcranial neural stimulatio... Read More about Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.

CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning (2021)
Journal Article
Saeed, U., Lee, Y., Jan, S. U., & Koo, I. (2021). CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning. Sensors, 21(2), Article 617. https://doi.org/10.3390/s21020617

Sensors’ existence as a key component of Cyber-Physical Systems makes it susceptible to failures due to complex environments, low-quality production, and aging. When defective, sensors either stop communicating or convey incorrect information. These... Read More about CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning.

Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey (2021)
Journal Article
Sena, B., Zaki, S. A., Rijal, H. B., Ardila-Rey, J. A., Yusoff, N. M., Yakub, F., …Muhammad-Sukki, F. (2021). Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey. Sustainability, 13(2), Article 818. https://d

Electricity-saving strategies are an essential solution to overcoming increasing global CO2 emission and electricity consumption problems; therefore, the determinant factors of electricity consumption in households need to be assessed. Most previous... Read More about Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey.

Cold sintering of microwave dielectric ceramics and devices (2021)
Journal Article
Wang, D., Li, L., Jiang, J., Lu, Z., Wang, G., Song, K., …Reaney, I. M. (2021). Cold sintering of microwave dielectric ceramics and devices. Journal of Materials Research, 36(2), 333-349. https://doi.org/10.1557/s43578-020-00029-w

Microwave (MW) dielectric ceramics are used in numerous electronic components for modern wireless communication systems, including antennas, resonators, capacitors and filters. However, to date, MW ceramics are manufactured by an energy-intensive, co... Read More about Cold sintering of microwave dielectric ceramics and devices.

Secure Lightweight Stream Data Outsourcing for Internet of Things (2021)
Journal Article
Peng, S., Zhao, L., Al-Dubai, A., Zomaya, A., Hu, J., Min, G., & Wang, Q. (2021). Secure Lightweight Stream Data Outsourcing for Internet of Things. IEEE Internet of Things Journal, 8(13), 10815-10829. https://doi.org/10.1109/JIOT.2021.3050732

The epoch of the Internet of Things (IoT) has come by enabling almost everything to gather and share electronic information. Considering the unreliable factors of public IoT, how to outsource huge amounts of indispensable stream data generated by the... Read More about Secure Lightweight Stream Data Outsourcing for Internet of Things.

The use of artificial intelligence and robotics in regional anaesthesia (2021)
Journal Article
McKendrick, M., Yang, S., & McLeod, G. A. (2021). The use of artificial intelligence and robotics in regional anaesthesia. Anaesthesia, 76(S1), 171-181. https://doi.org/10.1111/anae.15274

The current fourth industrial revolution is a distinct technological era characterised by the blurring of physics, computing and biology. The driver of change is data, powered by artificial intelligence. The UK National Health Service Topol Report em... Read More about The use of artificial intelligence and robotics in regional anaesthesia.

An experimental analysis of attack classification using machine learning in IoT networks (2021)
Journal Article
Churcher, A., Ullah, R., Ahmad, J., Ur Rehman, S., Masood, F., Gogate, M., Alqahtani, F., Nour, B., & Buchanan, W. J. (2021). An experimental analysis of attack classification using machine learning in IoT networks. Sensors, 21(2), Article 446. https://d

In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT networks can be problematic due to their resource-constrained nature,... Read More about An experimental analysis of attack classification using machine learning in IoT networks.

Scaling up Studies on PEMFC Using a Modified Serpentine Flow Field Incorporating Porous Sponge Inserts to Observe Water Molecules (2021)
Journal Article
Marappan, M., Narayanan, R., Manoharan, K., Vijayakrishnan, M. K., Palaniswamy, K., Karazhanov, S., & Sundaram, S. (2021). Scaling up Studies on PEMFC Using a Modified Serpentine Flow Field Incorporating Porous Sponge Inserts to Observe Water Molecules. M

Flooding of the cathode flow channel is a major hindrance in achieving maximum performance from Proton Exchange Membrane Fuel Cells (PEMFC) during the scaling up process. Water accumulated between the interface region of Gas Diffusion Layer (GDL) and... Read More about Scaling up Studies on PEMFC Using a Modified Serpentine Flow Field Incorporating Porous Sponge Inserts to Observe Water Molecules.

iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings (2021)
Journal Article
Kaiser, M. S., Mahmud, M., Noor, M. B. T., Zenia, N. Z., Mamun, S. A., Mahmud, K. M. A., …Hussain, A. (2021). iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings. IEEE Access, 9, 13814-13828. htt

The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse health issues due to its high transmission rate and limited treatment options. Almost the whole world, at some point of time, was placed in lock-down in an atte... Read More about iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings.

An Acoustic Sensor for Combined Sewer Overflow (CSO) Screen Condition Monitoring in a Drainage Infrastructure (2021)
Journal Article
See, C. H., Horoshenkov, K. V., Bin Ali, . M. T., & Tait, S. J. (2021). An Acoustic Sensor for Combined Sewer Overflow (CSO) Screen Condition Monitoring in a Drainage Infrastructure. Sensors, 21(2), Article 404. https://doi.org/10.3390/s21020404

Combined sewer overflow structures (CSO) play an important role in sewer networks. When the local capacity of a sewer system is exceeded during intense rainfall events, they act as a “safety valve” and discharge excess rainfall run-off and wastewater... Read More about An Acoustic Sensor for Combined Sewer Overflow (CSO) Screen Condition Monitoring in a Drainage Infrastructure.

A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid (2021)
Journal Article
Anaadumba, R., Liu, Q., Marah, B. D., Nakoty, F. M., Liu, X., & Zhang, Y. (2021). A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid. Cybersecurity, 4, Article 1 (2021). https://doi.org/10.1186

Energy forecasting using Renewable energy sources (RESs) is gradually gaining weight in the research field due to the benefits it presents to the modern-day environment. Not only does energy forecasting using renewable energy sources help mitigate th... Read More about A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid.

A Novel Deep Learning-Based Multilevel Parallel Attention Neural (MPAN) Model for Multidomain Arabic Sentiment Analysis (2021)
Journal Article
El-Affendi, M. A., Alrajhi, K., & Hussain, A. (2021). A Novel Deep Learning-Based Multilevel Parallel Attention Neural (MPAN) Model for Multidomain Arabic Sentiment Analysis. IEEE Access, 9, 7508-7518. https://doi.org/10.1109/access.2021.3049626

Over the past few years, much work has been done to develop machine learning models that perform Arabic sentiment analysis (ASA) tasks at various levels and in different domains. However, most of this work has been based on shallow machine learning,... Read More about A Novel Deep Learning-Based Multilevel Parallel Attention Neural (MPAN) Model for Multidomain Arabic Sentiment Analysis.