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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Do Sequential Lineups Impair Underlying Discriminability?, Matthew Kaesler, John C. Dunn, Keith Ransom, Carolyn Semmler
Do Sequential Lineups Impair Underlying Discriminability?, Matthew Kaesler, John C. Dunn, Keith Ransom, Carolyn Semmler
Research outputs 2014 to 2021
© 2020, The Author(s). Debate regarding the best way to test and measure eyewitness memory has dominated the eyewitness literature for more than 30 years. We argue that resolution of this debate requires the development and application of appropriate measurement models. In this study we developed models of simultaneous and sequential lineup presentations and used these to compare these procedures in terms of underlying discriminability and response bias, thereby testing a key prediction of diagnostic feature detection theory, that underlying discriminability should be greater for simultaneous than for stopping-rule sequential lineups. We fit the models to the corpus of studies …
Quantifying The Need For Supervised Machine Learning In Conducting Live Forensic Analysis Of Emergent Configurations (Eco) In Iot Environments, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, Arafat Al-Dhaqm
Quantifying The Need For Supervised Machine Learning In Conducting Live Forensic Analysis Of Emergent Configurations (Eco) In Iot Environments, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, Arafat Al-Dhaqm
Research outputs 2014 to 2021
© 2020 The Author(s) Machine learning has been shown as a promising approach to mine larger datasets, such as those that comprise data from a broad range of Internet of Things devices, across complex environment(s) to solve different problems. This paper surveys existing literature on the potential of using supervised classical machine learning techniques, such as K-Nearest Neigbour, Support Vector Machines, Naive Bayes and Random Forest algorithms, in performing live digital forensics for different IoT configurations. There are also a number of challenges associated with the use of machine learning techniques, as discussed in this paper.
Drug Users’ Experiences Of A Residential Rehabilitation Program In Western Australia: A Thematic Analysis Of Drug Users Lived Experiences, Michelle Fullam
Drug Users’ Experiences Of A Residential Rehabilitation Program In Western Australia: A Thematic Analysis Of Drug Users Lived Experiences, Michelle Fullam
Theses: Doctorates and Masters
In the last decade, there has been a marked increase in the awareness of drug use and drug-related crime in Australia. As a result, the demand for drug treatment services has increased and 14 recognised government-funded services are now available in Western Australia (WA). The goal of these services is to reduce drug use through full-time intensive programs that are usually residential. This type of drug treatment has been shown to be effective in reducing drug use and promoting pro-social lives post-treatment. However, little is known of the experiences of participants in this type of treatment in WA. As such, …