Table 1_New approach to optimize therapy in type 2 diabetes mellitus: the importance of subclassification.docx by María José Reyes-Medina (22545905)

“…The objective of this review was to explore the usefulness of subclassification based on patient pathophysiology, its implementation in clinical practice, and its potential to tailor available treatments based on the patient’s pathophysiological profile, in order to evaluate personalized alternatives that optimize the management of this complex disease. …”

Principle of Grinding Constant Force Control Based on PPO Algorithm. by Qichao Wang (5132438)

The flowchart of grinding constant force control based on the PPO algorithm. by Qichao Wang (5132438)

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets by Murat Elhüseyni (20744561)

“…The performance of the algorithms is compared with each other based on their capacity in identifying collusive states and the required computational effort.…”

Rapid identification of Liubao tea vintage based on terahertz spectroscopy combined with improved differentiated creative search algorithm by Huo Zhang (3666256)

Final optimization results. by Dawei Wang (471687)

Subjects:

Data Sheet 1_Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China.pdf by Qiujie Chen (21644732)

“…Here, we combined five supervised classification algorithms—random forest (RF), support vector machine, maximum likelihood classification (MLC), minimum distance classification, and Mahalanobis distance classification—with spectral bands, spectral indices, and the gray-level co-occurrence matrix (GLCM) derived from Sentinel-2 imagery to identify the optimal combination for monitoring the spatial distribution of S. alterniflora on Donghai Island, Zhanjiang. …”

Recent advances in the classification of diverse fish species using state-of-the-art ML and DL. by Ebru Ergün (21395498)

Subjects:

Confusion matrix. by Hang Zhao (143592)

Subjects:

Different patterns of electrocardio signals with Gaussian noise. by Hang Zhao (143592)

Subjects:

Sensitivity analysis of parameter K and in VMD. by Hang Zhao (143592)

Subjects:

Summary of key parameters and performance indices of VMD. by Hang Zhao (143592)

Subjects:

Action potential of sample points in model 1. by Hang Zhao (143592)

Subjects:

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

Subjects:

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

Subjects:

Comparison of original VMD and MOCOA-VMD results. by Hang Zhao (143592)

Subjects:

Performance comparison with other papers. by Hang Zhao (143592)

Subjects:

Action potential of sample points in model 2. by Hang Zhao (143592)

Subjects:

Kurtograms of different signals. by Hang Zhao (143592)

Subjects: