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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
In Situ Sensor Calibration Using Noise Consistency, Shriiesh Var Sharma
In Situ Sensor Calibration Using Noise Consistency, Shriiesh Var Sharma
Computer Science and Engineering Theses
Robots rely on sensors to map their surroundings. As a result, the accuracy of the map depends heavily on the sensor noise and in particular on accurate knowledge of it. The common way to minimize the impact of sensor noise is to use filtering algorithms. Accuracy of these filtering algorithms (like the Kalman filter) relies on the accuracy of the user supplied measurement noise model. Inaccurate noise models lead to higher residual noise in state estimates and errors in the estimate of the precision of the state estimate. It is therefore important to have precise noise models and thus accurately …
To What Extent Can Mine Rehabilitation Restore Recreational Use Of Forest Land? Learning From 50 Years Of Practice In Southwest Australia, Josianne Claudia Sales Rosa, Davide Geneletti, Angus Morrison-Saunders, Luis Enrique Sánchez, Michael Hughes
To What Extent Can Mine Rehabilitation Restore Recreational Use Of Forest Land? Learning From 50 Years Of Practice In Southwest Australia, Josianne Claudia Sales Rosa, Davide Geneletti, Angus Morrison-Saunders, Luis Enrique Sánchez, Michael Hughes
Research outputs 2014 to 2021
When mining affects natural or semi-natural ecosystems such as forests, rehabilitation often aims at restoring biodiversity. However, to what extent does rehabilitation also restore cultural ecosystem services? This paper investigates the perception of two groups of recreationists that use rehabilitated bauxite mine areas in southwest Australia, bushwalkers and mountain bikers. The area has been continuously mined and progressively rehabilitated for over 50 years. Research was developed through: (i) mapping the distribution of recreation trails, mined areas and rehabilitated areas; (ii) conducting in-depth interviews with recreationists regarding perceptions and usage of forest areas and; (iii) an online survey to gauge forest …
Mechanisms Of Value-Biased Prioritization In Fast Sensorimotor Decision Making, Kivilcim Afacan-Seref
Mechanisms Of Value-Biased Prioritization In Fast Sensorimotor Decision Making, Kivilcim Afacan-Seref
Dissertations and Theses
In dynamic environments, split-second sensorimotor decisions must be prioritized according to potential payoffs to maximize overall rewards. The impact of relative value on deliberative perceptual judgments has been examined extensively, but relatively little is known about value-biasing mechanisms in the common situation where physical evidence is strong but the time to act is severely limited. This research examines the behavioral and electrophysiological indices of how value biases split-second perceptual decisions and the possible mechanisms underlying the process. In prominent decision models, a noisy but statistically stationary representation of sensory evidence is integrated over time to an action-triggering bound, and value-biases …
Empowering Qualitative Research Methods In Education With Artificial Intelligence, Luca Longo
Empowering Qualitative Research Methods In Education With Artificial Intelligence, Luca Longo
Conference papers
Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology to mention a few. However, one of the disciplines in which artificial intelligence has not been fully explored and exploited yet is education. In this discipline, many research methods are employed by scholars, lecturers and practitioners to investigate the impact of different instructional approaches …