Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria. حسب Christian Porschen (12967868)

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors حسب Pieter H. Bos (1878256)

Screenshot a the Hatching-Box server application (HB-server). حسب Julian Bigge (22331861)

An instance of the IPP that can be solved by applying the algorithms for the DPP. حسب Jordan Moutet (21800145)

الموضوعات:

The flowchart of GWO-VMD method. حسب Zhenjing Yao (22189970)

"…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. حسب Yasamin Tabatabaee (18095491)

The structure of the data sample. حسب Wenbing Shi (5806160)

الموضوعات:

Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

Box plots of different algorithms on CEC2017 test function. حسب Tengfei Ma (597633)

الموضوعات:

BM3D algorithmic process. حسب Xiyu Zheng (21703063)

Comparison of performance metrics of algorithms in CHPDEED system. حسب Tao Dong (15551)

الموضوعات: "…practical engineering applications…"

Steady-State Simulation Performance at 1000 <i>W</i>/<i>m</i>² (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm. حسب Rana Ahmed (4923127)

الموضوعات:

Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. حسب Yasamin Tabatabaee (18095491)

Experiment 4: Evaluating CPM-based clustering methods on ring-of-cliques networks. حسب Yasamin Tabatabaee (18095491)

Statistical graph of processing time of each algorithm in six experimental networks when K = 30 and p = 0.01. حسب Lihong Han (7280045)

الموضوعات:

SSI of the filtering results for the complete image of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

Application of explainable clustering on cell features for unsupervised organization scoring. حسب Saeed Mohammadzadeh (13492285)

Data and code for: Automatic fish scale analysis حسب 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. …"

Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm حسب Jianan Wang (359744)

"…Then, a BP neural network model with the subtraction-average-based optimizer (SABO) algorithm was proposed. The results show that the SABO-BP model significantly reduced the deviation between calculated and experimental values, outperforming the previous empirical models. …"