Search alternatives:
experimental plot » experimental pilot (Expand Search), experimental part (Expand Search), experimental rat (Expand Search)
backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
plot algorithm » pso algorithm (Expand Search), ppo algorithm (Expand Search), pelt algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data backing » data tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
experimental plot » experimental pilot (Expand Search), experimental part (Expand Search), experimental rat (Expand Search)
backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
plot algorithm » pso algorithm (Expand Search), ppo algorithm (Expand Search), pelt algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data backing » data tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Box plot of experimental results for different algorithms.
Published 2024“…<p>Box plot of experimental results for different algorithms.…”
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Box plot of experimental results for different algorithms.
Published 2024“…<p>Box plot of experimental results for different algorithms.…”
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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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Algorithmic code and original data.zip
Published 2023“…The authors have attached the raw data and algorithm code in the zip file. The running of the model is supported by packages like Numpy, Matplotlib, Searborn, Scipy in Python.…”
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Data and code for: Automatic fish scale analysis
Published 2025“…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …”
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