Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

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

Flow chart of the simulated annealing algorithm [37]. by Jiahao Chen (194408)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

Subjects:

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Algorithmic flow of the verifiable delay function. by Xinhao Zheng (16637664)

“…<p>Algorithmic flow of the verifiable delay function.</p>…”

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. …”

The summarized flow of the methodology. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

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

DE algorithm flow. by Ling Zhao (111365)

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

Training algorithm flow. by Xing Chen (140292)

Algorithm flow of BBO. by Jian Yang (12136)

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

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

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). …”

Algorithm control flow chart. by Guangliang Li (194029)