An overview of the organization of the study program. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)

Convergence plots of the A-FedSAM algorithm and baseline algorithms under independent and identically distributed (IID) settings with 40% and 80% participation on the SPORT1 and SP... حسب Kexin Zhen (22453814)

Generated samples from experiment with 3 clients. حسب Hassan Kamran (21782056)

Generated Samples from experiment with 7 clients. حسب Hassan Kamran (21782056)

Generated samples from experiment with 5 clients. حسب Hassan Kamran (21782056)

Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT2 dataset. حسب Kexin Zhen (22453814)

Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT1 dataset. حسب Kexin Zhen (22453814)

Qualitative_Taguette analysis of all HCW and Clients. حسب Sani Useni (17804366)

الموضوعات:

Data and code resources. حسب Sam Hall-McMaster (10343795)

The multi-round test accuracy of A-FedSAM and baseline algorithms on the SPORT1 and SPORT2 datasets and 40% participation is reported as the mean ± variance. حسب Kexin Zhen (22453814)

The multi-round test accuracy of A-FedSAM and baseline algorithms on the SPORT1 and SPORT2 datasets and 80% participation is reported as the mean ± variance. حسب Kexin Zhen (22453814)

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

The schedule of enrolment, interventions, and assessments. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present an avenue for further investigation. This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …"

The multi-round test accuracy of A-FedSAM and baseline algorithms on the CIFAR-10/100, Tiny-ImageNet and AG-News datasets and 10% participation is reported as the mean ± variance. حسب Kexin Zhen (22453814)

Disparities in self-presentation of user’s preferences on algorithm matching. حسب Linsha Liu (20378293)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

Review of recent relevant studies along with the present study. حسب Kuiyuan Pan (21145338)