The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Supervised Machine Learning Algorithms for Predicting Rate Constants of Ozone Reaction with Micropollutants by Yajuan Shi (5575703)

“…The second-order rate constants of organic contaminants degraded by ozone (<i>k</i>_O3) are of great importance for evaluating their treatment efficiency and optimizing treatment processes. …”

The flowchart of MCS algorithm. by Siliang Luan (9499924)

“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”

The results of four algorithms. by Siliang Luan (9499924)

“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”

The pseudocode of the MCS algorithm. by Siliang Luan (9499924)

“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”

Parameters setting in the MCS algorithm. by Siliang Luan (9499924)

“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”

The comparative results between CS and MCS algorithms. by Siliang Luan (9499924)

The comparative results of travel time and average speed of four algorithms. by Siliang Luan (9499924)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Summary of the results (optimal parameters and resulting correlation coefficients) of the intersubject models for the different selections of training and test sets for Happiness/J... by Isabel Barradas (20614853)

Non-linear/linear energy conversion curve. by Pingxin Wang (16747662)

Summary of the results (optimal parameters and resulting correlation coefficients) of the intersubject models for the different selections of training and test sets for Worry/Fear... by Isabel Barradas (20614853)

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

Different steps of the experiment and data processing. by Isabel Barradas (20614853)

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data by Changhun Kim (682542)

“…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …”

On the optimality of stepwise policies for managing capacity, inventory and backorders by Melda Ormeci Matoglu (18549487)

Simulating Stretch-Induced Crystallization of Polyethylene Films: Strain Rate and Temperature Effect on the Kinetics and Morphology by Stefanos D. Anogiannakis (2014786)

“…As a consequence, an optimal temperature where the overall crystallization rate exhibits a maximum is found. …”