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

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. …”

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

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

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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CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Displacement cloud maps. by Maogang Tian (21485116)

Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”

Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN framework. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”

CNN frameworks. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

CNN model. by Longfei Gao (698900)

Stress cloud diagram of case II. by Jie Li (15030)