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

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Diversity of barcode repertoire decreases after early times of infection. by Sylvain Blois (663852)

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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. …”

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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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Figure 6 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin by Joanna Domagala (21643925)

Detection of MarBTN-specific eDNA in tank water at late stages of MarBTN progression. by Rachael M. Giersch (22331947)

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

Displacement cloud maps. by Maogang Tian (21485116)

The sum of the 10 most abundantly shed barcodes constitutes the majority of bulk shed muPyV DNA in the late phase of persistent infection. by Sylvain Blois (663852)

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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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Sampling point (Source: by Yonggang Huang (223155)

Femur length anomalies tend to decrease with later phenology (greater day of year of adulthood anomaly) regardless of elevation or species’ seasonal timing. by César R. Nufio (11646271)

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

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

“…However, the increased richness of information provided by 3D LiDAR also leads to a higher computational burden for point cloud data processing, posing challenges to real-time navigation. …”