Cloud computing
Cloud computing
Información de computación en la nube.
Domain-informed machine learning framework of blended-amine design for minimizing regeneration energy in carbon dioxide absorption
15/09/2026 -
ABSTRACT
Although the absorption process significantly contributes to carbon dioxide (CO2) capture, the high energy requirement for solvent regeneration is considered a...
Data-driven seismic fragility and risk evaluation of existing reinforced-concrete bridge portfolios under limited data
14/09/2026 -
ABSTRACT
Preliminary screening of existing transport infrastructure networks is essential to support timely maintenance and retrofit decisions, improve structural...
Data-efficient 3D perception of multi-branch wire harnesses via Dual-Domain point cloud segmentation
13/09/2026 -
ABSTRACT
Accurate segmentation of wire harnesses—typical Deformable Linear Objects (DLOs)—is a prerequisite for robotic assembly but is often impeded by...
Data-driven cycle time optimisation in semiconductor manufacturing using machine learning and heuristic search algorithms
12/09/2026 -
ABSTRACT
In semiconductor wafer fabrication, cycle time strongly affects throughput and cost, yet is hard to control because bottlenecks shift across tools over time....
One-class classification for detecting lane departure warning activation traces in sensor streams via autoencoder-integrated density estimation
11/09/2026 -
ABSTRACT
The utilization of automated event detection methods enhances surveilling the operation of technical systems via sensor data. Particularly within the automotive...
Design of aerogel-incorporated concrete based on machine learning and multi-objective optimization
11/09/2026 -
ABSTRACT
This study employs machine learning (ML) techniques to investigate the compressive strength, flexural strength, and thermal conductivity of aerogel-incorporated...
TT+: A traitor tracing scheme against malicious encryptors for secure sharing of healthcare electronic health records and cloud TV
09/09/2026 -
ABSTRACT
With the rapid adoption of cloud computing and Internet of Things (IoT) terminal devices, sensitive data and digital content are increasingly stored, encrypted,...
CO2 mineralization-assisted stabilization of loess with fly ash, MgO and Ca(OH)2: Static and dynamic performance, multiscale pore evolution, and carbon balance
16/09/2026 -
Abstract
Carbonation-based loess stabilization has mainly focused on static strength, leaving the links among CO2...
Machine learning model for cardiac sarcomere twitch contraction dynamics
13/09/2026 -
Abstract
A machine learning (ML) framework based on artificial neural networks (ANNs) is presented as an accurate...
Low-cost soft robotic gripper – combining textile sensors and a lightweight hybrid CNN–LSTM model
09/09/2026 -
Abstract
Soft robotic grippers are compliant systems for object manipulation and interaction. However, most...
Interpretable data-driven design of Ge-Sb-Se-Te thin films for energy-efficient and multilevel nonvolatile photonic memory
05/09/2026 -
Abstract
The rapid advancement of in-memory computing and nanophotonics demands advanced non-volatile photonic...
Interpretable machine learning-assisted inverse design of high-strength and ductile cast magnesium alloys
03/09/2026 -
Abstract
Cast rare-earth (RE) magnesium (Mg) alloys are governed by strong coupling among multicomponent...
Integrating machine learning and sensor technology to automate proton exchange membrane fuel cell stack disassembly
17/09/2026 -
ABSTRACT
Hydrogen-based proton exchange membrane fuel cells (PEMFCs) are expected to be deployed in heavy-duty applications, resulting in a growing number of systems...
A physics-constrained framework for fatigue data augmentation of post-weld treated joints: censored S–N estimation with an exploratory generative component
15/09/2026 -
Abstract
The fatigue performance of welded joints has been significantly enhanced through various post-weld improvement techniques, with Tungsten Inert Gas (TIG)...
Second-law thermodynamic performance comparison of flat, dimpled, and dimpled–protruded PV/T systems using machine learning
01/10/2026 -
Abstract
The performance of photovoltaic (PV) cells is adversely affected by heat accumulation during...
Performance assessment of a modified Graz cycle fueled by pure hydrogen and oxygen
01/10/2026 -
Abstract
The growing demand for large-scale and long-duration energy storage requires efficient power...
A machine learning framework for hydronic balancing in buildings connected to district heating
03/09/2026 -
Abstract
The decarbonisation of heat is a key challenge in achieving climate neutrality, and low-temperature district heating is a promising pathway. Thermal Source...
Structural prior knowledge-guided point cloud classification of reinforced concrete bridge components
09/09/2026 -
Abstract
Accurate point cloud classification of bridge components is essential for Scan-to-BIM and semantic model reconstruction. However, existing learning-based...
Structure-oriented deep learning for semantic segmentation of bridge point clouds
07/09/2026 -
Abstract
Bridges built during the post-war construction boom are reaching the end of their design life, and their inspection still relies mainly on manual visual...
Discovery and prediction of tidal reach bridge scour morphology via 3D underwater sonar point cloud
07/09/2026 -
Abstract
Prediction of bridge scour in tidal reaches remains challenging because equations derived from experiments and numerical models are limited by scale effects and...