Changes in the loss function value on the validation set. by Kyung Won Kwon (18150416)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Training test results of different algorithms on natural scene exposure dataset. by Hao Wu (65943)

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Algorithm framework. by Zongjin Li (38031)

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F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Loss function comparison plot. by Wenhao Ren (2561731)

The effect of different loss functions on our model. by Yiyang Shi (16929122)

Table_1_Vestibular assessment in children with sensorineural hearing loss: diagnostic accuracy and proposal for a diagnostic algorithm.DOCX by Max Gerdsen (13825351)

The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Convergence curve of shift function. by Yong Gao (29929)

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Comparison of correction results of different algorithms on the data set of electrical equipment nameplate exposure. by Hao Wu (65943)

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Performance comparison of mainstream algorithms. by Junjie Lu (160350)

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YOLOv8n adds different loss function training process curve change plot. by Wenyuan Xu (2553028)

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Training and test results of different algorithms on uneven exposure data set of electrical equipment nameplate. by Hao Wu (65943)

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Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

S1 Dataset - by Hao Wu (65943)

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Algorithm pseudocode. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

GA and loss function (Loss_L) parameters are optimized using their search spaces through the hyperparameter tuning. by Burcu Ozek (16949357)