Maple code for algorithm 3. by Peter Thompson (165468)

“…This new type of identifiability can be determined using our new algorithms, as is demonstrated by applications to various published biomedical models. …”

<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b> by Jeffrey Siergiej (20937434)

Subjects:

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

“…Sensitivity, specificity and precision of individual algorithms and their combinations for plastid <b>(c)</b> and mitochondria <b>(d)</b>.…”

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”

Greedy optimization algorithm. by Alexis Bénichou (19832361)

“…Histograms represent the codelengths of models with motifs after each run of the greedy algorithm; colors correspond to the different base models (blue: ER model, orange: configuration model, pink: reciprocal ER model, yellow: reciprocal configuration model, see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012460#pcbi.1012460.g001" target="_blank">Fig 1B</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012460#pcbi.1012460.t001" target="_blank">Table 1</a>); vertical dashed lines represent the codelengths of models without motifs, and the black dashed line indicates the codelength of the shortest-codelength model—here the configuration model with motifs.…”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

Code and data. by Shangyang Jin (21772466)

IbM code graphical description by Irina Ofiteru (14716360)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

code&data by Liyuan Liu (18298084)

The metro zone algorithm pseudo-code. by Sarah Alhumoud (22258183)

Data and code. by Hao Cao (2248066)