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)

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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. …”

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)

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

The genome coding scheme. by Wenbing Shi (5806160)

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

TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

“…<h3><b>Abstract</b></h3><p dir="ltr">TIR-Learner is an ensemble pipeline for Terminal Inverted Repeat (TIR) transposable elements annotation, which combines homology-based detection, de novo tools and convolutional neural network to classify candidate sequences into five major TIR superfamilies. …”

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)

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

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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>…”

code_4 by Olga Ovtsarenko (20432033)

The workflow of the present study. by Kaiyi Zhou (2553352)

The genetic algorithm. by Viktoria Zemliak (19500335)