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

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Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... by Yangyang Liu (807797)

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

Homomorphic binary tree. by Jianhua He (341366)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx by Yanfen Zheng (3814507)

“…In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start by Yifan Wang (380120)

“…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …”

Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start by Yifan Wang (380120)

“…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …”

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

Calibration curves for the test set of four models. by Meng Cao (105914)

Performance metrics of the models on the training and test set. by Meng Cao (105914)

SHAP bar plot. by Meng Cao (105914)

Sample screening flowchart. by Meng Cao (105914)

Descriptive statistics for variables. by Meng Cao (105914)

SHAP summary plot. by Meng Cao (105914)

ROC curves for the test set of four models. by Meng Cao (105914)

Display of the web prediction interface. by Meng Cao (105914)

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…Both the SVM model with a linear kernel and the one with an RBF kernel achieved identical results. Optimization with GridSearchCV corroborated this stagnation, identifying a simple linear model (C=0.05, gamma='scale') as the optimal configuration, indicating that the additional complexity of nonlinear kernels did not confer predictive gains. …”