Performance comparison of proposed CNN and feature extraction method with traditional machine learning algorithms for fine art image classification. by Ruhua Chen (10258912)

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

Classification performance metrics of MLP. by Zhiheng Zhang (9347282)

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Optimal classification super plane. by Zhiheng Zhang (9347282)

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Accuracy of cross-prediction classification (PR-AUC) results using two classification algorithms for the two T2D datasets by Qin et al. [38] and Karlsson et al. [36]. by Xinyu Han (2237545)

Pseudo-code of signal automatic modulation classification method. by Li Yuan (102305)

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Cell type classification in the 9-dpg leaves. by Frances K. Clark (5617169)

“…Stomata and pavement cells were first classified using a trained SVM classification algorithm based on cell shape features. …”

Data types and their sources. by Firdissa Sadeta Tiye (21222102)

Algorithm assessment of temporal drought class using TPM. by Muhammad Asif Khan (7367468)

Metaheuristic algorithms for solving DNA-related problems. by Eslam Hamouda (5172083)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Single classification model results comparison diagram. by Zhiheng Zhang (9347282)

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DeepGlobe Land Cover Classification Examples: Shows satellite images processed by classification algorithms, with land cover types such as agricultural land, forests, urban areas, and water bodies marked and differentiated using various colors. by Mingzhen Lu (21782047)

Peak-Based Machine Learning for Plastic Type Classification in Time-of-Flight Secondary Ion Mass Spectrometry by Jin Gyeong Son (1544851)

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Peak-Based Machine Learning for Plastic Type Classification in Time-of-Flight Secondary Ion Mass Spectrometry by Jin Gyeong Son (1544851)

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Comparison of the number of classification per second of model signal samples in different environments. by Li Yuan (102305)

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The flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…Based on the cluster category centers, the typical characteristics of different customer types are analyzed. Furthermore, four widely recognized machine learning methods are employed to classify the clustering results, achieving over 95% classification accuracy on the test set. …”

Parameter values of the compared algorithms. by Huimin Lu (4434682)

“…Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …”

Attributes classification based on MSD. by Tamer Abdel Latif Ali (21464041)

“…A tailored pseudocode algorithm is designed to optimize deception for various attribute types, validated through simulations. …”

Comparison of modulation classification accuracy of different signals by different models when the PSNR is 0. by Li Yuan (102305)

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