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Outputs (15042)

Predicting road traffic accident severity using decision trees and time-series calendar heatmaps (2019)
Presentation / Conference
Silva, H., & Saraee, M. (2019, November). Predicting road traffic accident severity using decision trees and time-series calendar heatmaps. Presented at The 6th IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), Penang, Malaysia

The European Commission estimates that around
135,000 people are seriously injured on Europe's roads each
year. The road traffic injuries are a significant but neglected
global general public health problem, needing rigorous attempts
for effectiv... Read More about Predicting road traffic accident severity using decision trees and time-series calendar heatmaps.

Predictive modelling in mental health : a data science approach (2019)
Presentation / Conference
Saraee, M., Silva, H., & Saraee, M. (2019, November). Predictive modelling in mental health : a data science approach. Presented at 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE CSUDET), Penang, Malaysia

In national and local level, understanding of factors associated with public health issues like mental health is paramount important. This framework evaluation aims to use the decision Tree technique to improve the degree of understanding of the ment... Read More about Predictive modelling in mental health : a data science approach.

Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm (2019)
Thesis
Oyewale, A. (in press). Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm. (Thesis). University of Salford

As a result of modern technology and the advancement in communication, a large amount of data streams are continually generated from various online applications, devices and sources. Mining frequent patterns from these streams of data is now an impor... Read More about Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm.

Halton Castle (2019)
Data

Report for archaeological excavation at Halton Castle

Halton Castle (2019)
Data

Post excavation report for skeleton.
Newspaper article

Isotropic silicon etch characteristics in a purely inductively coupled SF6 plasma (2019)
Journal Article
Panduranga, P., Abdou, A., Ren, Z., H. Pedersen, R., & P. Nezhad, M. (2019). Isotropic silicon etch characteristics in a purely inductively coupled SF6 plasma. Journal of Vacuum Science and Technology B, 37(6), https://doi.org/10.1116/1.5116021

The characteristics of isotropic etching of silicon in a purely inductively coupled SF plasma are quantitatively studied. Since the etch results are strongly dependent on mask features, the authors investigated both large area and narrow trench etch... Read More about Isotropic silicon etch characteristics in a purely inductively coupled SF6 plasma.

First record of an Odontaspidid shark in Ascension Island waters (2019)
Journal Article
Richardson, A., Burgess, G., Shepherd, C., & Weber, S. (2019). First record of an Odontaspidid shark in Ascension Island waters. Arquipélago - Life and Marine Sciences, 36, 79-84

The occurrence of the poorly understood shark species Odontapsis ferox is reported at an oceanic seamount in the central south Atlantic, within the Exclusive Economic Zone of Ascension Island. The presence of the species at this location is confirmed... Read More about First record of an Odontaspidid shark in Ascension Island waters.