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Convolutional neural networks (CNNs) represent an interesting method for adaptive image processing, and form a link between general feedforward neu-ral networks and adaptive filters. Two dimensional CNNs are formed by one or more layers of two dimensional filters, with possible non-linear activation functions and/or down-sampling. Conventional neural(More)
BACKGROUND Harm from gambling is known to impact individuals, families, and communities; and these harms are not restricted to people with a gambling disorder. Currently, there is no robust and inclusive internationally agreed upon definition of gambling harm. In addition, the current landscape of gambling policy and research uses inadequate proxy measures(More)
Remote monitoring of coastal conditions in locations of high public usage is a fast growing application of information technology. Remote mounted CCD camera systems provide a relatively cheap and potentially rich source of information on the state of the near-shore beach zone. The present paper presents a non-technical overview of a system for appropriate(More)
Given the evidence for the motivating influence of electronic gaming machines (EGM) jackpots on intensifying player behaviour (Rockloff and Hing in J Gambl Stud 1–7, 2013), there is good reason to explore consumer-protection features. Jackpot Expiry is a potential feature of a mandatory pre-commitment system or player identification system (e.g., loyalty(More)
Although electronic gaming machine (EGM) jackpots are widespread, little research has yet considered the impact of this feature on gamblers’ behaviour. We present the results of an in-venue shadowing study, which provided measures of player investment and persistence (e.g. number of spins, time-on-machine) from participants undertaking one or more EGM(More)
Detecting cracks is an important function in building , tunnel, and bridge structural analysis. Successful automation of crack detection can provide a uniform and timely means for preventing further damage to structures. This laboratory has successfully applied convolutional neural networks (CNNs) to on-line crack detection. CNNs represent an interesting(More)
Relatively little research has been undertaken on the influence of jackpot structural features on electronic gaming machine (EGM) gambling behavior. This study considered two common features of EGM jackpots: progressive (i.e., the jackpot incrementally growing in value as players make additional bets), and deterministic (i.e., a guaranteed jackpot after a(More)
BACKGROUND Independent mobility describes the freedom of children to travel and play in public spaces without adult supervision. The potential benefits for children are significant such as social interactions with peers, spatial and traffic safety skills and increased physical activity. Yet, the health benefits of independent mobility, particularly on(More)