Three sensor sample data with noise data. by Tang Ruipeng (20141334)

Weights of sample data. by Yixuan Lu (9987980)

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)

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. …”

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

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. …”

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

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

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

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. 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. …”

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

The feature selection process of the IG-GPSO. by Fangyuan Yang (2567629)

Sample data of K-means clustering. by Yixuan Lu (9987980)

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)

The feature ranking grouping process of the IG-GPSO. by Fangyuan Yang (2567629)

Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. 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. …”

Unit cell distribution of the indexed HEWL images processed by by Ki Hyun Nam (5813819)

Subjects:

Unit cell distribution of the indexed GI images processed by by Ki Hyun Nam (5813819)

Subjects: