Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب 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.…"

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

الموضوعات:

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

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

الموضوعات:

Algorithm framework. حسب Zongjin Li (38031)

الموضوعات:

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

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

الموضوعات:

Loss function comparison plot. حسب Wenhao Ren (2561731)

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

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

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

S1 Dataset - حسب Hao Wu (65943)

الموضوعات:

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

Algorithm pseudocode. حسب 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. …"

Data set of nameplate exposure of electrical equipment. حسب Hao Wu (65943)

الموضوعات: