Experimental results for all algorithms on benchmark functions. by Shuhan Du (13955497)

Average runtime for all algorithms on benchmark functions (in second). by Shuhan Du (13955497)

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

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Flowchart of step() function. by Raed Alharthi (18340157)

Computational and resource efficiency of different algorithms. by Rui Li (4631)

a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”

Wavelet transform and scaling function. by Menaa Nawaz (14304920)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …”

The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

Summary of the existing objective functions for multi-period HHC. by Tipaluck Krityakierne (12666825)

F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

The objective function values of the solution obtained from the five models. by Tipaluck Krityakierne (12666825)

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)

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

We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... by Xiaorui Wu (8322705)

TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. by Xiaorui Wu (8322705)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

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