The collected datasets are relevant and related to Optimization of Design and Operation of Solar Assisted District Cooling Systems [1] paper. Part of the data is collected on the main and common components of the system. ...

The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...

We use cGANs to solve computational mechanics. We model a structure using FEA and generate simulations results (deflection and stress). We then transform the FEA results into images where the colour channels correspond to ...

Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ...

In this paper, we present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ...

The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual ...

A fan-stirred combustion vessel is used to study the premixed turbulent combustion of diesel, Gas to Liquids (GTL) and 50/50 diesel-GTL and to generate these datasets. A numerical simulation approach is implemented for ...

Datasets of measured viscosity of Polyalpha-Olefin- boron nitride (PAO/hBN) nanofluids are reported. An AR-G2 rheometer (from TA Instruments) experimental setup is used for measuring the rheological property of PAO/hBN ...

The data is related to unwanted interactions between a person and a small robotic toy based on acceleration sensor embedded within the robotic toy. Three toys were considered namely, a stuffed panda, a stuffed robot, and ...

This paper presents a resilience framework for implementing academic accreditation activities in higher education, with a focus on lessons learned from unexpected situations. It explores how the pandemic challenged academic ...