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. …”

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

“…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”

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

“…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”

Displacement cloud maps. by Maogang Tian (21485116)

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

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

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

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control by Yijun Jiang (1852231)

“…When dealing with data fluctuation, we assign a higher weight to the KNN method for its sensitivity, while the EWMA method is preferred for stationary data. …”

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

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

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

AI KRegression by CHIN-CHENG CHU (20718575)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

The collapse of a molecular cloud core to stellar densities using radiation non-ideal magnetohydrodynamics (dataset) by James Wurster (17821961)

“…Models with ionization rates ≳10−12 s−1 produce results that are indistinguishable from ideal MHD. Decreasing the cosmic ray ionization rate extends the lifetime of the first hydrostatic core up to a factor of 2, but the lifetimes are still substantially shorter than those obtained without magnetic fields. …”

Trust change by gender. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by age group. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by education level. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by source of science information. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)