Outputs (15033)

A scene image classification technique for a ubiquitous visual surveillance system (2019)
Journal Article
Asadzadeh Kaljahi, M., Palaiahnakote, S., Hossein Anisi, M., Yamani Idna Idris, M., Blumenstein, M., & Khurram Khan, M. (2019). A scene image classification technique for a ubiquitous visual surveillance system. Multimedia Tools and Applications, https://doi.org/10.1007/s11042-018-6151-x

The concept of smart cities has quickly evolved to improve the quality of life and provide public safety. Smart cities mitigate harmful environmental impacts and offences and bring energy-efficiency, cost saving and mechanisms for better use of resou... Read More about A scene image classification technique for a ubiquitous visual surveillance system.

A soaring success: Repeated evolution of island flightlessness (2019)
Journal Article

Insects that stink and hatch in sync (2019)
Journal Article

Pain insensitivity: Subtle changes make a huge difference (2019)
Journal Article

Acoustic characterization of additive manufactured layered porous materials (2019)
Presentation / Conference Contribution

Computer Modelling for Nutritionists (2019)
Book

This book draws on Mark Mc Auley’s wealth of experience to provide an intuitive step-by-step guide to the modelling process. It also provides case studies detailing the creation of biological process models. Mark Mc Auley has over 15 years’ experienc... Read More about Computer Modelling for Nutritionists.

Data Warehouse implementation for Mixing Process in Tire Manufacture (2019)
Presentation / Conference Contribution

Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech (2019)
Journal Article
Torcoli, M., Freke-Morin, A., Paulus, J., Simon, C., & Shirley, B. (2019). Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech. Journal of the Audio Engineering Society, 67(12), 1003-1011. https://doi.org/10.17743/jaes.2019.0052

In audio production, background ducking facilitates speech intelligibility while allowing the background to fulfill its purpose, e.g., to create ambience, set the mood, or convey semantic cues. Technical details for recommended ducking practices are... Read More about Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech.

Learning from accidents : machine learning for safety at railway stations (2019)
Journal Article
Alawad, H., Kaewunruen, S., & An, M. (2020). Learning from accidents : machine learning for safety at railway stations. IEEE Access, 8(1), 633-648. https://doi.org/10.1109/ACCESS.2019.2962072

In railway systems, station safety is a critical aspect of the overall structure, and yet, accidents at stations still occur. It is time to learn from these errors and improve conventional methods by utilizing the latest technology, such as machine l... Read More about Learning from accidents : machine learning for safety at railway stations.

Numerical simulation of thermal radiation influence on natural convection in a trapezoidal enclosure : heat flow visualization through energy flux vectors (2019)
Journal Article
Venkatadri, K., Beg, O., Rajarajeswar, P., & Prasad, V. (2020). Numerical simulation of thermal radiation influence on natural convection in a trapezoidal enclosure : heat flow visualization through energy flux vectors. International Journal of Mechanical Sciences, 171, https://doi.org/10.1016/j.ijmecsci.2019.105391

A theoretical and numerical study of natural convection intwo-dimensional laminar
incompressible flow in a trapezoidal enclosurein the presence of thermal radiation is conducted,
motivated by energy systems applications. Heat flow visualization via... Read More about Numerical simulation of thermal radiation influence on natural convection in a trapezoidal enclosure : heat flow visualization through energy flux vectors.