Table8_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table4_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table3_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table2_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table7_Natural and artificial selection of multiple alleles revealed through genomic analyses.docx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table5_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

DataSheet1_Natural and artificial selection of multiple alleles revealed through genomic analyses.docx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table6_Natural and artificial selection of multiple alleles revealed through genomic analyses.xlsx by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

Table1_Natural and artificial selection of multiple alleles revealed through genomic analyses.DOCX by Jana Biová (11287971)

“…We tested and validated the algorithm and presented the utilization of MADis in a pod pigmentation L1 gene case study with multiple CMs from natural or artificial selection. …”

GameOfLife Prediction Dataset by David Towers (12857447)

“…Excluding 0, the lower numbers also get increasingly unlikely, though more likely than higher numbers, we wanted to prevent gaps and therefore limited to 25 contiguous classes</p><p dir="ltr">NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …”

An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles by Yue Jiang (102705)

“…The strategy is designed to maximize the detection power and control the deployment costs. The main idea is to balance exploration and exploitation by designing a sampling distribution function to decide where to collect data at each acquisition time. …”

Investigation of cardiac mechanics and mechanical circulatory support therapies in peripartum cardiomyopathy using machine learning and patient-specific computational modelling by Juliet Nagawa (17333779)

“…</li></ul><p dir="ltr"> <b>ANN.zip</b></p><ul><li>Matlab and Python programs used to develop machine learning algorithms and developed machine learning models.…”

Table_3_Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N.DOCX by Deyu Huang (5079335)

“…Objective<p>To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.…”

Table_5_Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N.xls by Deyu Huang (5079335)

“…Objective<p>To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.…”

Table_1_Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N.DOCX by Deyu Huang (5079335)

“…Objective<p>To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.…”

Table_4_Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N.DOCX by Deyu Huang (5079335)

“…Objective<p>To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.…”

Table_2_Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N.DOCX by Deyu Huang (5079335)

“…Objective<p>To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.…”

Application of artificial neural networks in the prediction of sugarcane juice Pol by Anderson P. Coelho (6379601)

“…Before calibration, the variables were normalized. The training algorithm used was backpropagation and the activation function was the sigmoid. …”

Code and data for evaluating oil spill amount from text-form incident information by Yiming Liu (18823387)

“…These are separately stored in the folders “description” and “posts”.</p><h2>Algorithms for Evaluating Release Amount (RA)</h2><p dir="ltr">The algorithms are split into the following three notebooks based on their functions:</p><ol><li><b>"1_RA_extraction.ipynb"</b>:</li><li><ul><li>Identifies oil spill-related incidents from raw incident data.…”

COI reference sequences from BOLD DB by John Sundh (12853901)

“…<br>The file bold_clustered.sintax.fasta.gz is directly compatible with the SINTAX algorithm in vsearch while files bold_clustered.assignTaxonomy.fasta.gz and bold_clustered.addSpecies.fasta.gz are directly compatible with the assignTaxonomy and addSpecies functions from DADA2, respectively. …”