Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. by Amal H. Alharbi (21755906)

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. …”

Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

The construction process of the CGO prediction model. by Wenbing Shi (5806160)

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

Homomorphic binary tree. by Jianhua He (341366)

Temperature sensor 2 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

Temperature sensor 1 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

Temperature sensor 3 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

Example of subsampling process. by Sofia P. Miranda (11418930)

Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

Description of optimal model parameters. by Libo Liu (552605)

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Parameter estimation process and performance. by Gennady Gorin (8466255)

Weights of sample data. by Yixuan Lu (9987980)

Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

“…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Construction process of RF. by Xini Fang (20861990)

“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…<p dir="ltr">Geospatial optimization problems are fundamental research issues in geographic information science modeling, characterized by high dimensionality, dynamics, and discreteness. …”

Area under the ROC and PR curves for medicated patients, using the original and SMOTE sample data. by João Albuquerque (12936572)