Parameters of each algorithm. by Nanqi Li (11640083)

“…Initially, a prediction model for titanium alloy milling surface roughness is established using the response surface method to ensure continuous prediction. …”

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

“…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …”

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)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

The genetic algorithm. by Viktoria Zemliak (19500335)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Task sequences for each AGV obtained using MBTA. by Yazhen Zhu (3595430)

Task sequences for each AGV obtained using IPSO. by Yazhen Zhu (3595430)

Task sequences for each AGV obtained using MGA. by Yazhen Zhu (3595430)

The detection accuracy of each ablation experiment. by Qian Shen (89639)

Subjects:

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

“…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

The proportion of triples in each client. by Chunjuan Li (7890182)

Subjects:

Detailed information of the field experiments. by Yonghui Zhang (279832)

Subjects:

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

“…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …”

Comparative results of each algorithm in comparative experiment. by Junhao Wei (6816803)

“…<p>Comparative results of each algorithm in comparative experiment.</p>…”

Computational analysis of each model. by Dinghong Mu (14204200)

“…The preprocessing phase involves a local feature attention mechanism that enhances local waveform features using the amplitude envelope. A dual-scale attention mechanism, operating at both channel and neuron levels, is employed to enhance the model’s learning from high-dimensional fused data, improving feature extraction and generalization. …”

The most significant GO terms and p-values for each of the five modules. by Zongjin Li (38031)

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Quantitative results of three algorithms. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

The genome coding scheme. by Wenbing Shi (5806160)

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