Flow chart of this algorithm. by Xuan Chen (158617)

Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" by Pengfei Wu (11627371)

“…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”

Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

Subjects:

Comparison of the solutions obtained for reactive power losses minimization (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

Subjects:

Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

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

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

Subjects:

Loss function variation curve. by Chunhua Yang (346871)

Subjects:

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

Subjects:

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

Subjects:

IFCM-SMOTE flow. by Zhaotian Li (16846072)

“…Further, the Fuzzy C-mean (FCM) clustering is improved and combined with the SMOTE (IFCM-SMOTE-SVM) to new synthesized samples with higher accuracy, solving the drawback that the separation data synthesized by SMOTE is too random and easy to generate noisy data. The kernel function is combined with IFCM-SMOTE-SVM and transformed to a high-dimensional space for clustering sampling and classification, and the kernel space-based classification algorithm (KS-IFCM-SMOTE-SVM) is proposed, which improves the effectiveness of the generated data on SVM classification results. …”

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

Subjects:

Algorithm flow of BBO. by Jian Yang (12136)

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

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

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

Subjects:

Loss Function Comparison. by Hongwei Yue (574068)

Loss Function Comparison. by Hongwei Yue (574068)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by 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). …”