Big data integration shows Australian bush-fire frequency is increasing significantly von Dutta, Ritaban, Das, Aruneema, Aryal, Jagannath

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Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance von Das, Aruneema, Stocks, Nigel G., Hines, Evor L.

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Development of an intelligent environmental knowledge system for sustainable agricultural decision support von Dutta, Ritaban, Morshed, Ahsan, Aryal, Jagannath, D'Este, Claire, Das, Aruneema

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Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data von Dutta, Ritaban, Aryal, Jagannath, Das, Aruneema, Kirkpatrick, Jamie B.

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Stochastic resonance-based electronic nose: A novel way to classify bacteria von Dutta, Ritaban, Das, Aruneema, Stocks, Nigel G., Morgan, David

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Improved spirometric detection of small airway narrowing: concavity in the expiratory flow-volume curve in people aged over 40 years von Johns, David P, Das, Aruneema, Toelle, Brett G, Abramson, Michael J, Marks, Guy B, Wood-Baker, Richard, Walters, E Haydn

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Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach von Dutta, Ritaban, Das, Aruneema, Smith, Daniel, Aryal, Jagannath, Morshed, Ahsan, Terhorst, Andrew

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Automated Estimation and Analysis of Lung Function Test Parameters from Spirometric Data for Respiratory Disease Diagnostics von Das, Aruneema, Johns, David P, Dutta, Ritaban, Walters, Haydn E

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Mobile application based sustainable irrigation water usage decision support system: An intelligent sensor CLOUD approach von Li, Cecil, Dutta, Ritaban, Kloppers, Corne, D'Este, Claire, Morshed, Ahsan, Almeida, Auro, Das, Aruneema, Aryal, Jagannath

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A portable system for acquiring and removing motion artefact from ECG signals von Griffiths, A, Das, A, Fernandes, B, Gaydecki, P

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Dynamic Evaluation and Visualisation of the Quality and Reliability of Sensor Data Sources von Dutta, Ritaban, -, Claire, Morshed, Ahsan, Smith, Daniel, Das, Aruneema, Aryal, Jagannath

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Stimulus reconstruction from neural spike trains: Are conventional filters suitable for both periodic and aperiodic stimuli? von Das, Aruneema, Folland, R., Stocks, N.G., Hines, E.L.

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