Loss function curve graphs. by Huiying Zhang (200681)

The common genes and their functional analysis. by Bing Yang (142278)

Examples of parametric 2d-spatial varying functions. by Guixiang Zhang (383795)

Original paper-based support for item 18 (A), 19 (B) and 22 (C) and screenshots of the digital interfaces of the item 18 (D), 19 (E) and 22 (F). by Dominique Vincent-Genod (20552594)

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Comparison between the non-sensory motor and sensory–motor algorithms. by Hiroyuki Ichijo (13891153)

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The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

The resultant accuracy curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Experiment: Application of Andean Condor Algorithm to Solve Many-Affine BBOB problems by Boris Almonacid (4110337)

“…</p><p dir="ltr"><b>Objectives</b></p><p dir="ltr">- Solve Many-Affine BBOB Functions using the Andean Condor algorithm.…”

Assessment of the level of difficulty of the task from subjects (A) and therapists (B) when using the tablet compared to the paper-based support during the item 18, 19 and 22 compl... by Dominique Vincent-Genod (20552594)

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Identification and functional analysis of hub genes. by Wei Ya Lan (22403712)

“…(B) PPI network visualized using Cytoscape software. …”

RTC-F solar cell: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

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PWP201 solar module: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

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Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

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Polymorphic exonic rare variants identified through sequencing, stratified by function^b'*'. by Nicole D. Dueker (3390164)

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

List of sample groups used for the calculation of Euclidean distance. by Artem S. Kasianov (8783363)

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The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3,... by Quynh-Anh Nguyen (847240)

“…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i>_<i>in</i> neuronal units. …”

(a-c) Sampling event times with an intensity function . by Gerrit Großmann (9585147)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)