Algorithm performance comparison. by Haiyan Wang (25821)

Parameters of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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Parameters of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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Clustering results of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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External evaluation of XGBoost algorithm based on a) 4- hematological features and b) 14-hematological features trained and tested across different datasets. by Ali Safdari (12409084)

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

“…An enhanced Bingzhen and Weimin model-based decision-making algorithm is developed to support intelligent diagnosis. …”

Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Flowchart of the general algorithm for one trial. by Junying Wang (509009)

The process of using the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

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Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …”

Comparison of power consumption in optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Flow chart diagram of blind quantum algorithm. by Sultan H. Almotiri (14029251)

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

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Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

Presentation 1_TransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis.pdf by Haitao Li (305080)

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

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

Radar chart comparing the performance of deep learning features (deepFeature) with 12 handcrafted features across four machine learning algorithms. by Rui-Si Hu (5337227)

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)