Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Chris Bowerman"'
Publikováno v:
International Journal of Modern Physics E. 29:2050092
In this paper, we investigate the benefits of machine learning (ML) approaches in predicting the spectra of meson bound states. A linear model (LM) approach is used to predict the spectra of some heavy mesons. Our proposed method has been successfull
Publikováno v:
HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference 2018
Facial expression recognition (FER) is an area of active research, both in computer science and in behavioural science. Across these domains there is evidence to suggest that humans and machines find it easier to recognise certain emotions, for examp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da7dd5e83945323d5c158a17c67ef73d
http://sure.sunderland.ac.uk/id/eprint/9584/7/A_Final_BHCI_2018_CameraReady.pdf
http://sure.sunderland.ac.uk/id/eprint/9584/7/A_Final_BHCI_2018_CameraReady.pdf
Publikováno v:
BCS HCI
HCI '17: Proceedings of the 31st British Computer Society Human Computer Interaction Conference
HCI '17: Proceedings of the 31st British Computer Society Human Computer Interaction Conference
The application of digital methods for content-based curation and dissemination of cultural heritage data offers unique advantages for physical sites at risk of damage. In areas affected by 2011 Arab spring, digital may be the only approach to create
Autor:
Chris Bowerman, Ioannis Karamitsos
Publikováno v:
Advances in Optical Technologies. 2013:1-6
This paper addresses the issue of providing resource reservation mechanism for OBS networks. We propose a linear prediction mechanism based on least mean square (LMS) method to reduce the burst delay at edge nodes. A reservation method is proposed to
Publikováno v:
Expert Systems with Applications. 30:24-33
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalled as a technique to separate and analyse proteins from tissue samples.
Publikováno v:
Neural Computing and Applications. 15:9-17
The Kohonen self-organising feature map (SOM) has several important properties that can be used within the data mining/knowledge discovery and exploratory data analysis process. A key characteristic of the SOM is its topology preserving ability to ma
Autor:
Nicholas Armitage, Chris Bowerman
Publikováno v:
Computer Assisted Language Learning. 18:109-118
The LOM (Learning Object Model) approach to courseware design seems to be driven by a desire to increase access to education as well as use technology to enable a higher staff – student ratio than is currently possible. The LOM standard involves th
Autor:
Nicholas Armitage, Chris Bowerman
Publikováno v:
Computer Assisted Language Learning. 15:27-53
It is argued that to say that “any ICT application worthy of the name” must be pedagogically driven (Nicholson & Mulhern, 2001, p. 149) is too strong a statement, inasmuch as CALL system architectu...
Autor:
Chris Bowerman, Fatih Ozgul
Publikováno v:
BESC
In this paper, we categorized topology of terrorist networks into six because of their ideological, historical and practical similarities by showing them with real terrorist network examples.
Autor:
Chris Bowerman, Fatih Ozgul
Publikováno v:
ENIC
Due to the interest by public audience and academic research, there has been a great interest in Terrorist Networks by the academicians, analysts and criminologists. Either to learn how to disrupt or to prevent their activities, structure of these ne