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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.

Reducing simulation performance gap from hempcrete buildings using multi objective optimization (2019)
Presentation / Conference Contribution

Hempcrete is increasingly used as a construction material, as it provides stable temperature and relative humidity conditions in buildings. In addition to low energy operations, buildings built from hempcrete possess negative embodied CO2, absorbed i... Read More about Reducing simulation performance gap from hempcrete buildings using multi objective optimization.

CS Challenger: Gamifying the Learning of Computer Science Concepts through a Mobile Application Platform (2019)
Presentation / Conference Contribution

There is a huge dropout rate among Computer Science students at the University of Namibia (UNAM). This can be attributed to the lack of engaging methods for learning both basic and advanced computational concepts. Despite gamification concepts in lea... Read More about CS Challenger: Gamifying the Learning of Computer Science Concepts through a Mobile Application Platform.

Hooked on you: shape of attachment structures in cymothoid isopods reflects parasitic strategy (2019)
Journal Article
Baillie, C., Welicky, R., Hadfield, K., Smit, N., Mariani, S., & Beck, R. (2019). Hooked on you: shape of attachment structures in cymothoid isopods reflects parasitic strategy. BMC Evolutionary Biology, 19, 207. https://doi.org/10.1186/s12862-019-1533-x

Background
Parasite attachment structures are critical traits that influence effective host exploitation and survival. Morphology of attachment structures can reinforce host specificity and niche specialisation, or even enable host switching. Theref... Read More about Hooked on you: shape of attachment structures in cymothoid isopods reflects parasitic strategy.

Inference for Survival Models with Doubly Interval Censored Data and Fixed or Time Dependent Covariate (2019)
Book Chapter
Kiani, K., & Arasan, J. (2019). Inference for Survival Models with Doubly Interval Censored Data and Fixed or Time Dependent Covariate. In S. Ao, L. Gelman, & H. Kim (Eds.), Transactions on Engineering Technologies (187-203). Springer. https://doi.org/10.1007/978-981-32-9531-5_14

In this research inference for survival models with doubly interval censored (DIC) data and fixed or time dependent covariate is discussed. DIC data usually arise in follow-up studies where the lifetime, T = W − V  is the elapsed time between two rel... Read More about Inference for Survival Models with Doubly Interval Censored Data and Fixed or Time Dependent Covariate.

Captive-born collared peccaries learning about their predators : lessons learnt but not remembered (2019)
Journal Article
de Faria, C., de Souza Sá, F., Lovenstain Costa, D., da Silva, M., da Silva, B., Young, R., & de Azevedo, C. (2020). Captive-born collared peccaries learning about their predators : lessons learnt but not remembered. Behavioural Processes, 171, 104031. https://doi.org/10.1016/j.beproc.2019.104031

Captive-born animals frequently lose their anti-predatory abilities due to the absence of encounters with their predators, but these abilities can be regained through specific training. Anti-predator training can, thus, enhance the success of reintro... Read More about Captive-born collared peccaries learning about their predators : lessons learnt but not remembered.

Spatial planning and sustainable cities and communities (2019)
Book Chapter
Trillo, C. (2019). Spatial planning and sustainable cities and communities. In W. Leal Filho, A. Azul, L. Brandli L., P. Özuyar, & T. Wall (Eds.), Sustainable Cities and Communities. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-71061-7_72-1

Spatial planning as technical activity of supporting spatial decision-making is deeply embedded in the history of mankind. However, this specific terminology came to fore in the planning disciplinary field in the late 1980s, replacing a plethora of ter... Read More about Spatial planning and sustainable cities and communities.

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.