Word segmentation speed results of four algorithms. by Nan Xu (107466)

Experimental comparison among different algorithms on the Cityspaces validation set. by Zhuolin Yang (14658411)

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

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Classification of road section operation risk levels. by Yongjian Zhang (3986126)

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Average ca for HT-based features extracted from 2.4-second time segments using classification methods. by Ebru Ergün (21395498)

A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao (20296506)

A Machine Learning Ecosystem for Filament Detection: Classification, Localization, and Segmentation by Azim Ahmadzadeh (21789602)

“…It includes two data products: the largest manually annotated filament dataset and a growing set of automatically labeled images, and four software tools for filament localization, segmentation, and classification. In collaboration with the National Solar Observatory, we utilize data from the GONG network, which offers continuous solar imaging from six ground-based observatories. …”

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> by BRISC Dataset (22559540)

“…It provides high-quality, physician-validated pixel-level masks and a balanced multi-class classification split, suitable for benchmarking segmentation and classification algorithms as well as multi-task learning research.…”

Classification accuracy of different methods. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Heatmap of Parameter Sensitivity Analysis for the PSO-KM Algorithm. by Hongwei Yue (574068)

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Heatmap of Parameter Sensitivity Analysis for the PSO-KM Algorithm. by Hongwei Yue (574068)

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Visualization of model prediction results (heatmaps) indicating the classification confidence of each pixel. by Qingyang Wang (460264)

Accuracy of Tested DCNN Models for <i><i>T. brucei</i></i> classification. by Hamid Cheraghi (22057476)

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Fig 6 - by Zhuolin Yang (14658411)

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Results of the value experiment concerning the auxiliary loss weight α. by Zhuolin Yang (14658411)

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Multibranch network structure based on edge optimization and category awareness. by Zhuolin Yang (14658411)

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Experimental comparison among different methods on the CamVid dataset. by Zhuolin Yang (14658411)

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