Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes by Vijay Subramanian (20718933)

EDLIoT: A method for decreasing energy consumption and latency using scheduling algorithm in Internet of Things by Arash GhorbanniaDelavar (22563696)

Comparison of proposed method with other existing methods. by Junaid Khan (4276162)

Comparison of proposed method with other existing methods. by Junaid Khan (4276162)

The flowchart of the PID control based on the IPSO algorithm. by Hongjun Meng (5031806)

Spatial spectrum of the 100th frame under array distortion conditions (20 elements). by Gaoxiang Xing (21755689)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Comparison of hidden state prediction based on the Viterbi algorithm. by Heng Yang (590400)

The true value of the hidden state based on Viterbi algorithm. by Heng Yang (590400)

The predicted value of the hidden state based on Viterbi algorithm. by Heng Yang (590400)

Source code. by Jesse Wheeler (18462457)

Flowchart of the SSA-based optimization of the BPNN algorithm. by Yeping Shi (14279118)

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Comparison of PSNR values of different algorithms. by Xiaojun Wang (50332)

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Changes in FID values of different algorithms. by Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

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Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…</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. …”

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Precision, MAP, and MAE values of the proposed method in comparison with other basic methods. by Ali Asghar Salehi Solaiman Abadi (20846222)

Subjects: “…imperialist competitive algorithm…”

Algorithm framework. by Zongjin Li (38031)

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