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

Subjects:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by 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. by Dinh K. Tang (20469082)

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

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

Subjects:

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

Subjects:

ML algorithms used in this study. by 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. …”

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

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

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

Subjects:

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

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

<b>Robot_gripper_design</b> by Ma Haohao (19780875)

Subjects:

Presents the comparative results of the ablation study. by Wenhao Ren (2561731)

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

Subjects:

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”