Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE). by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in sensitivity analyses using different oxygen saturation thresholds. by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in subgroup analysis by year. by Jia Wei (120974)

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Study inclusion and exclusion flowchart. by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, NPV, covariance, and model comparison among four models with different covariance structures. by Jia Wei (120974)

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Multiple sequence alignment of the <i>Strumpellin</i> coding sequences performed by Geneious v.3.6.2 program. by Yusr Saadi-Ben Aoun (20469385)

Different implementations on MNIST object detection accuracy (%) with input image size. by Reyhane Ahmadi (14857363)

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Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring by Alison Gerken (17362585)

“…Successful pest management programs require effective and timely monitoring programs, but traditional methods for detecting pests are time- and labor-intensive and require taxonomic expertise. …”

PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

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Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

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PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

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Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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List of Abbreviations by Gursimran Singh (575288)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

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Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

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The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

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Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. by Gursimran Singh (575288)

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