Hyperparameter importance of the model parameters obtained during the optimization process using optuna. by Demóstenes Zegarra Rodríguez (17174585)

Optimal parameters for the single process model. by John G. Holman (14670911)

Illustrations of the entrainment process of the shift worker with controllable light during the night shift. by Jiawei Yin (8149467)

The times each feature was selected by SGHHO_KNN during the 10-fold CV process. by Qiong Wu (84327)

Illustrations of the entrainment process of shift workers under constant light during the night shift from 8 pm to 8 am. by Jiawei Yin (8149467)

Classification performance of each category of the test set in MLP during the improved processes. by Lu Xiao (314030)

Classification performance of the entire test set in the MLP classifier during the improved processes. by Lu Xiao (314030)

Multi objective optimization design process. by Xueyong Pan (20390363)

Supplementary file 1_Optimization of in-situ soil thermal desorption technology based on machine learning and heat transfer process model.docx by Xin Wang (91924)

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

A HyChem Model of Polyoxymethylene Dimethyl Ether 5 Optimized with a Differential Evolution Algorithm by Guohua Li (550125)

“…By defining optimization objectives as ignition delay times predicted by a reference model, the use of the differential evolution algorithm significantly accelerated the adjustment process of reaction rate parameters during model development. …”

F1-score and precision recall (PR) curves during the ablation experiment training process. by Jinxue Sui (19748080)

Minimum-time entrainment with optimal light input during the night shift from 8 pm to 8 am with <i>I</i>_max = 1000 lux (upper) and <i>I</i>_max = 10000 lux (lo... by Jiawei Yin (8149467)

Minimum-time entrainment with optimal light input during the night shift from 10 pm to 8 am with <i>I</i>_max = 1000 lux (upper) and <i>I</i>_max = 10000 lux (l... by Jiawei Yin (8149467)

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Comparison of model performance changes during the RF hyperparameter optimization of the <i>Pure-ML</i> model and the implementation of the best hybrid model. by Yeonuk Kim (4589488)

Open-loop entrainment with different lighting condition <i>I</i>_shift during night shift between 10 pm to 8 am, where the open-loop entrainment time is 44.06 hours for <... by Jiawei Yin (8149467)

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms by Rajib Mukherjee (532424)

“…The analysis is performed using data-driven modeling using machine-learning algorithms, followed by optimization with a probabilistic technique. …”

Sleepiness comparison of the minimum-time entrainment with spontaneous sleep (blue curves) and with optimal (controllable) sleep (black curves). by Jiawei Yin (8149467)

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)