Intra-hospital patient transfer algorithm. by Ekkarat Meephu (15307058)

Abbreviated Jablonski energy diagram depicting intra- and extra-molecular quantum mechanical processes involved in fluorescence. by Nicholas H. Vitale (20469289)

Table_1_Improved motor imagery classification using adaptive spatial filters based on particle swarm optimization algorithm.docx by Xiong Xiong (721323)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…<p>S3 Fig shows the results of the optimization process for different start points supplied to the optimization function. …”

Video1_Task-specific robot base pose optimization for robot-assisted surgeries.MP4 by Ashok M. Sundaram (14207432)

PRUNET validation results. by Ana Rodriguez (266842)

“…The PKN is iteratively pruned using an evolutionary algorithm to perform an optimization process. This optimization rests in a match between predicted attractors in a discrete logic model (Boolean) and a Booleanized representation of the phenotypes, within a population of alternative subnetworks that evolves iteratively. …”

Sensitivity analysis results. by Ana Rodriguez (266842)

“…The PKN is iteratively pruned using an evolutionary algorithm to perform an optimization process. This optimization rests in a match between predicted attractors in a discrete logic model (Boolean) and a Booleanized representation of the phenotypes, within a population of alternative subnetworks that evolves iteratively. …”

Simulated perturbation results. by Ana Rodriguez (266842)

“…The PKN is iteratively pruned using an evolutionary algorithm to perform an optimization process. This optimization rests in a match between predicted attractors in a discrete logic model (Boolean) and a Booleanized representation of the phenotypes, within a population of alternative subnetworks that evolves iteratively. …”

A method to concatenate multiple short time series for evaluating dynamic behaviour during walking by Stefan Orter (6786098)

“…The collected time series were cut into multiple shorter time series of varying lengths and subsequently concatenated using a novel algorithm that identifies similar poses in successive time series in order to determine an optimal concatenation time point. …”

Firing patterns of a-thorny cells encode more information about the statistics of presynaptic inputs. by Daniele Linaro (227790)

An overview of the Multi-CD method. by Ji Hyun Bak (2096773)

Data Sheet 1_Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy.docx by Tobias Schraut (21488108)

Data Sheet 1_Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics.pdf by Nicolina Sciaraffa (19329285)

Presentation_1_Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients.pdf by Simon Krenn (9874167)

“…</p>Results<p>Regarding (i) and (ii), we automatized the processing of RBV-data, and determined an algorithm to select the adequate RBV-data points for ABV-calculations. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…”