<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al. حسب Riley McGlasson (13876874)

"…</p> <h4><strong>Python Function Files:</strong></h4> <p>radarfuncs.py: Holds three functions used for FFT and DTW analysis.…"

ClaritySpectra: Raman spectra analysis tool حسب Aaron Celestian (9395696)

"…</li></ul><h3>PEAK FITTING </h3><ul><li>Automated background subtraction using asymmetric least squares fitting</li><li>A new suggested background feature that lets you preview the background that you like best</li><li>Interactive background fitting lets you further tune the background to perfection</li><li>Four choice of peaks: Gaussian, Lorentzian, Pseudo-Voigt, and the new Asymmetric Voigt functions</li><li>Overlapping view of how well the peaks fit with quality metrics</li><li>No need to define regions, the algorithm is smart enough to what a peak looks like.…"

Membership function of output for tank 1. حسب Tamiru Demelash Kassie (20678515)

Membership function of output for tank 2. حسب Tamiru Demelash Kassie (20678515)

Table_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Table_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Image_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Presentation_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Presentation_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Table_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf حسب Zitong Lu (9913770)

Characterization of the TD² dataset. حسب Benjamin Gallois (10131683)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)

Effect of confinment on <i>p</i>_<i>inc</i>. حسب Benjamin Gallois (10131683)

Automatic tracking parameters. حسب Benjamin Gallois (10131683)

Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... حسب Frixos Papadopoulos (22001664)

DataSheet1_Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.PDF حسب Niccolò Marini (11247936)

"…<p>Algorithms proposed in computational pathology can allow to automatically analyze digitized tissue samples of histopathological images to help diagnosing diseases. …"

Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses حسب Dominykas Lukauskis (14143149)

"…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …"

Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses حسب Dominykas Lukauskis (14143149)

"…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …"