21 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

In the domain of modern robotics there still exist challenges in control on arguably one of the most fundamental levels, that is motion control. Since the 1980s there has been research into how to take advantage of the system dynamics of robots to provide better methods for motion control. In this thesis we explore the problem of providing control strategies to produce motions on robots, with form

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

In clinical settings, researchers are interested in the risk factors and their effect on event-time distributions. Often, exact event-times are unknown and the observed data is interval-censored. This thesis aims to develop techniques for fast and accurate estimation in the presence of interval-censoring and either left-truncation or competing risks. Left-truncation is a form of selection bias whe

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

Millimetre-wave (mmWave) communication hardware continues to face significant challenges despite its growing adoption for next-generation wireless systems. These challenges primarily arise due to complex electromagnetic interactions, strict performance requirements, and unique propagation characteristics associated with these frequencies. This thesis systematically addresses several critical issue

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

To address the challenges in modern industries and to improve Industry 4.0 capability, digitalised design methods and solutions need to be more integrated and self-adaptive. However, current approaches for production design methods that can provide adaptive design and planning for manufacturing systems in line with the challenges in Industry 4.0.<br><br>The core problem in designing and planning f

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · Crystal structure · unknown

With the ongoing rapid deployment of renewable generation and low carbon technologies (LCT) in the electrical networks, network operators have been recently integrating smart solutions to actively manage their electricity networks while assuring supply security, stability and reliability. Battery energy storage systems (BESS) are one possible smart solution that is being embraced lately by network

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

Unmanned aerial vehicles (UAVs) have had an impressive number of real-world applications and will continue to play a significant role in the future. Yet, UAV-assisted communication is constrained by scarce resources - a common issue in wireless communication. Optimal resource allocation is thus of critical importance for UAVs to operate and fulfil their missions. Although resource allocation in UA

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

The blood brain barrier (BBB) is a major protective physical and biological barrier that surrounds the brain and is composed of brain capillary endothelial cells (BCECs) connected by tight junctions (TJ), astrocytes, pericytes and microglia. Matrix metalloproteinases and tissue inhibitors further limit transport by regulating BBB integrity. These structures limit 98% of all small molecules from cr

UCL Research Data Repository2026 · dataset · unknown

Communication networks have vital roles in our daily lives, both in small-scale and large-scale perspective. First, in small-scale networks, nanonetworks consisting of nano-scale devices have been proposed to solve problems in environmental monitoring, healthcare (in the form of nanomedicine), industrial, and military fields. An emerging means of supporting communication between nano-scale devices

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset

With ever increasing pressure for decarbonisation of the internal combustion engine, engine brake thermal efficiency is of great importance. Turbocharging has been used for many years to facilitate an increase in specific power, and subsequent engine downsizing, which in turn is used to increase the efficiency of the engine installation. Considering the decarbonisation goal, it is imperative that

DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

With ever increasing data volumes and computing complexities, power-efficient alternatives, particularly Field Programmable Gate Arrays (FPGAs), need to be explored for industrial-scale data centres. Whilst FPGA device sizes have increased and associated design tools have matured, there are still challenges for their seamless integration model. This acts to hamper the abstraction of FPGA as a scal

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Experimental Dataset for "A Multi-Objective Hyper-Heuristic for Scenario-Based Cloud Manufacturing Scheduling with Window-Spanning Task Execution"</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Infrastructure planning and operation for nutrient management strategies for wastewater treatment plants in Lower South Bay San Fransisco to meet nutrient reduction targets over the next 30 years. Results show optimal monthly nutrient removal and upgrade selection by each upgrade, schedule of upgrade operation, and cost savings from staged and regionally coordinated infrastructure planning.

figshare2026 · Astronomical catalogue

<p dir="ltr">The results obtained from the computational experiments of the proposed branch and bound algorithm are presented.</p><p dir="ltr">There are two sets of results: B&B algorithm (solved without a time limit until the entire tree was explored) and B&B algorithm with a 10 minute time limit.</p><p dir="ltr">The data used is found here. https://doi.org/10.25439/rmt.26325706</p>

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Code and data associated with</p><p dir="ltr">Zeno Blockade Enabling Photonic Quantum Optimization</p><p dir="ltr">by Mohammad-Ali Miri, Uchenna Chukwu, and Nicholas Chancellor</p><h4 dir="ltr">arXiv: 2604.13032</h4><h4 dir="ltr">This code was written by Nicholas Chancellor and written for Quantum Computing Inc.</h4><h4 dir="ltr">licenced under <a href="http://www.apache.org/licenses/

IISH Dataverse2025 · dataset · unknown

This is an example solution of our model for the pickup-and-delivery problem that utilizes quite a few online transfers.

Edmond2024 · Astronomical catalogue · unknown

Data and R codes associated with the manuscript "Estimating the optimal age for infant measles vaccination".

figshare2024 · Astronomical catalogue

<p dir="ltr">The objective function values obtained when using Temporal Decomposition with Filtering Matheuristic (TDFM), the large MILP formulation with filtering and only the large MILP formulation are given.</p><p dir="ltr">The experiments were conducted using the high-performance computing resources provided by the National Computational Infrastructure (NCI) in Australia. A single core with 4

figshare2024 · Astronomical catalogue

<p dir="ltr">The inputs for the problem instances are provided.</p><p dir="ltr">New Patients (type, priority, weeks, cycles, duration, time window, location)</p><ul><li>Location data from 3 location classes (Random Cluster(rc), Random(r), Cluster(c)).</li></ul><p dir="ltr">Existing Patients (type, priority, weeks, cycles, duration, time window, location, scheduled treatment days)</p><ul><li>There

ZivaHub + Deakin Research Online + DMU Figshare2024 · dataset

<p dir="ltr">An artificial neural network (ANN) model has been developed to predict hourly heat demand from past demand only. This is the revised version (2026) of the code and network, as used in the revised manuscript; it replaces the 2024 version. The attached data includes the following files:</p><ol><li>Trained neural network for Model 3 (.mat file), 49 input delays and 2 hidden neurons</li><

Borealis + Agri-environmental Research Data Dataverse2022 · dataset · unknown

Dans le cadre du Projet d'acquisition de connaissances sur les eaux souterraines (PACES) aux îles de la Madeleine, des modèles numériques hydrogéologiques ont été développés et calibrés afin d'estimer la piézométrie et la position de l'interface eau douce - eau salée, de modéliser la remontée de l'interface eau douce - eau salée sous les puits de pompage, d'estimer l'épaisseur de la lentille d'eau

PTB-OAR2017 · Archive

The datasets were used to assess the accuracy and performance of a software for 3D hole pattern fitting (see related identifier resource). Each dataset provides input and a solution for flange ring fitting tasks documented in the guideline (second related identifier). The data also comprises a data fomat description and original data from performance measurements with the tested software. The data