Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Search Algorithms and Loss Functions for Bayesian Clustering حسب David B. Dahl (11761055)

"…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …"

Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

APSO–CNN and FNN algorithms’ loss function training sets. حسب Ahmed Bahaa (12887063)

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APSO–CNN and FNN algorithms’ loss function validation sets. حسب Ahmed Bahaa (12887063)

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Loss function values of target detection algorithms during training. حسب Guodong Su (7876934)

"…<p>Loss function values of target detection algorithms during training.…"

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

Comparison results of the loss functions. حسب Jia Li (160557)

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Loss function variation curve. حسب Chunhua Yang (346871)

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APSO–WOA–CNN and FNN algorithms’ loss function validation sets. حسب Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ loss function training sets. حسب Ahmed Bahaa (12887063)

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

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Recursive attention function and loss function change. حسب Wang Linfeng (17102068)

Comparison of the curves of the DCIOU loss function and the CIOU loss function. حسب Xunqian Xu (21261899)

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Loss Function Comparison. حسب Hongwei Yue (574068)

Loss Function Comparison. حسب Hongwei Yue (574068)

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). …"

Loss function curve. حسب Xiangqian Xu (17310895)

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APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. حسب Ahmed Bahaa (12887063)

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APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. حسب Ahmed Bahaa (12887063)

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