Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Displacement cloud maps. by Maogang Tian (21485116)

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

Displacement cloud map (geology). by Hui Cheng (195456)

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 1. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 6. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 5. by Hongliang Zou (20707270)

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HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

The technical route of the study. by Hongliang Zou (20707270)

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Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

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Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

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Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

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Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

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Thematic clouds for lectures. by Ignacio García-Espona (21395335)

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

Sampling point (Source: by Yonggang Huang (223155)

Data Sheet 1_An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization.docx by Hailong Li (216327)

“…Field experiments were conducted in a pear orchard based on this method. The experimental results show that: 1) The overall number of point cloud data points in the map was reduced by approximately 76.32%, while important features, including tree morphology, trellis structure, and road surface information, were fully preserved. 2) When different octree node resolutions were applied, the improved RRT* algorithm demonstrated significant improvements in path generation time, sampling point utilization, path length, and curvature. …”

Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

Content analysis of groups with decreased confidence. by Yasutaka Yanagita (11105508)