This is The amount of medical waste generated and processed in China. حسب Chen Hao (352436)

The amount of medical waste generated and processed in China. حسب Chen Hao (352436)

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

الموضوعات:

Automated Resource Recovery Processes for Electronic Waste Recycling حسب Aseni Senanayake (21584965)

Decoding process. حسب Jihui Hu (19812736)

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)

Feature extraction model training process. حسب Fengning Liang (20927493)

"…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …"

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

T2-Flair model training process using all data. حسب Fengning Liang (20927493)

"…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …"

T2-Flair model training process using all data. حسب Fengning Liang (20927493)

"…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …"

NSGA-II process based on minimum envelope clustering. حسب Chen Hao (352436)

Comparison of algorithms across metrics in test problems. حسب Jihui Hu (19812736)

الموضوعات:

The selection process of the ONDL model among other models. حسب Nour Eldeen Mahmoud Khalifa (19259450)

الموضوعات:

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. …"

ANOVA was performed to test the differences between the algorithms for each indicator. حسب Jihui Hu (19812736)

الموضوعات:

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)

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