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Virtual, Augmented, and Mixed Reality Robotics-Assisted Deep Reinforcement Learning Towards Smart Manufacturing. [PDF]

Sensors (Basel)
Le T, Vinh LQ, Pham VH.
europepmc   +1 more source

An integrated development framework for data-driven model predictive control of thermal zones in buildings. [PDF]

MethodsX
Klanatsky P, Veynandt F, Heschl C.
europepmc   +1 more source

The Pipe Conveying Fluid as a Model Experiment to Develop a Digital Twin

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Plastic Collapse Stresses for Pipes With Circumferential Twin Flaws Using Combination Rules

Volume 1A: Codes and Standards, 2018
When discrete multiple flaws are in the same plane, and they are close to each other, it can be determined whether they are combined or standalone in accordance with combination rules provided by fitness-for-service (FFS) codes, such as ASME, JSME, BS7910, FKM, WES2805, etc. However, specific criteria of the rules are different amongst these FFS codes.
Yun-Jae Kim, Valery Lacroix, Hasegawa Kunio   +2 more
exaly   +2 more sources

Inspecting Twin 42” Reinforced Concrete Pipes with Pipe Penetrating Radar Supplemented by LiDAR

Pipelines 2021, 2021
Csaba Ekés
exaly   +2 more sources

A Digital Twin for Large Diameter Water Distribution Pipes

Pipelines 2023, 2023
Andreu Fargas-Marquès, Joan Cornellà-Gil   +1 more
exaly   +2 more sources

Effects of spoiler and piggyback on local scour under single and twin submerged pipes

Ocean Engineering, 2022
Saeed Salehi, Amir H Azimi
exaly   +2 more sources

Digital Twin of the Device for Cleaning Pump-Compressor Pipes

Lecture Notes in Networks and Systems
A N Krasnov
exaly   +2 more sources