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

“…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

Experimental data (dotted lines) and best simulation fits of the saccharification time courses for three different pre-treatment severities (low: Black lines, medium: Dark grey lin... by Eric Behle (11426692)

Overview of CINner’s mathematical model and simulation algorithm. by Khanh N. Dinh (20549532)

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

Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization by Jian-Feng Cai (498405)

Line chart plotted using the k-value selection algorithm: (A) system 1; (B) system 2; (C) system 3. by Jingnan Yan (20727331)

Simulation parameter. by Shanthi Amgothu (17692146)

Simulation parameters. by Shanthi Amgothu (17692146)

Line chart plotted using the elbow method: (A) system 1; (B) system 2; (C) system 3. by Jingnan Yan (20727331)

Random forest classification method process. by Yawen Zhong (2342206)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Process of calculating the wear probability (). by Natsumi Nishiyama (19928990)

Swarm intelligence algorithms for multi-objective IMP by Francisco Muñoz (9455441)

Swarm intelligence algorithms for width and length on influence games by Francisco Muñoz (9455441)

Toy example of the computation process of Eqs 3, 4 and 5. by Salvatore Alaimo (6058907)

Simulation of dense parameter pairs and optimal model output. by Yen-Ju Chen (354876)

Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data by Seokho Lee (10088)

“…<p>We consider a binary classification problem in the case where some observations in the training data are incorrectly labeled. …”

Determination of the Solute Content and Volumetric Properties of Binary Ionic Liquid Mixtures Using a Global Regularity of Molar Volume Expansion by Javad Hekayati (1383249)

“…For instance, the water content, which is of great significance in IL studies, can easily be estimated using the proposed algorithm. By doing so, an overall AARD of 3.47% was obtained for the estimation of the water content of 68 binary systems. …”

This Figure shows the flow of information between components when running a simulation. by Till Köster (11287803)