AI KRegression حسب CHIN-CHENG CHU (20718575)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters حسب 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. حسب Ignacio García-Espona (21395335)

Displacement cloud maps. حسب Maogang Tian (21485116)

Point cloud fusion instance effect. حسب 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. …"

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

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

Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control حسب 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. حسب Jie Li (15030)

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

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

"…We present results from radiation non-ideal magnetohydrodynamics (MHD) calculations that follow the collapse of rotating, magnetized, molecular cloud cores to stellar densities. …"

The dataset for Aerosol emission reductions cause post-2011 rapid warming in the northwestern Pacific. حسب Nan Yang (22539191)

"…Aerosol-driven ocean warming manifests a five-year lag post-emission reductions, governed by threshold-triggered nonlinear aerosol-cloud interaction where cloud decrease occurs only below critical aerosol thresholds (AOD = 0.2). …"

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

The impact of the sulfur allotropes and sulfur hydrides on the Venus cloud chemistry حسب Maxence LEFEVRE (5214737)

"…<br>- S8d10.nc: the reference case with the saturation mixing ratio from Zahnle et al., (2016), the update UV cross-section, a radius of 1. µm for the condensed allotropes and a S8 photolysis decrease by a factor of 100.…"

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

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

DataSheet1_The contributions of rainfall and fog to leaf water of tree and epiphyte communities in a tropical cloud forest.doc حسب Qingqing Yang (1628146)

"…Using a Bayesian stable isotope mixing model, we quantified the relative contributions of soil water, fog, and rainfall to leaf water.…"

A novel RNN architecture to improve the precision of ship trajectory predictions حسب Martha Dais Ferreira (18704596)

"…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"

Data Sheet 1_An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization.docx حسب 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. …"

The technical route of the study. حسب 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. …"