87 datasets

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

Industrial manufacturing simulations are constructive tools for emulating and stress-testing real workflows such that bottlenecks decrease when implementing or modifying the physical systems they represent. They are beneficial at generating unforeseen information, drawing conclusions from stochastic events, and are enablers of the smart factory paradigm. Computing industrial manufacturing simulati

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p>===============================================================================</p><p dir="ltr">ARCSTONE EXECUTIVE EPISTEMIC & EXECUTION SERIES (EXEC01–EXEC04, CORE01–CORE02, META01, LIT003)</p><p dir="ltr">Primary Suite DOI Anchor: 10.5281/zenodo.22665852</p><p dir="ltr">Master System Hash Anchor: A-77-DELTA-SHIELD-LOCKED</p><p dir="ltr">Canonical Handle: @admissibilityscience</p><p>==========

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

The rapid increase of processed data is driving the aggressive scaling of DRAM for meeting the needs of higher memory density and bandwidth. As a result of the high memory demand, projections forecast that the memory sub-system will be responsible for a considerable portion of the overall power consumption within most multicore systems. However, the DRAM scaling is hampered by the adoption of pess

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

Graph algorithms find several usages in industry, science, humanities, and technology. The fast-growing size of graph datasets in the context of the processing model of the current hardware has resulted in different bottlenecks such as memory locality, work-efficiency, and load-balance that degrade the performance. To tackle these limitations, high-performance computing considers different aspects

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

Over a decade, analysing longitudinal data has presented a challenge in meeting the demands of extracting useful knowledge. For instance, as cloud/data centres grow in scale and complexity, effective monitoring and management of the cloud becomes a critical challenge. Competition for resource sharing and virtual machine overload are prone to cause anomalies, which will possibly cause downtime. Thi

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">OPAL (Office Presence, Activity and Load) is a multimodal ambient sensor time-series dataset collected over 33 continuous days in a shared university laboratory workspace at the Gwangju Institute of Science and Technology. Two connected rooms were instrumented: Room 207, the main workspace, and Room 205, a meeting and common area.</p><p dir="ltr">The release combines appliance-level e

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

This thesis presents a theoretical study of the kaolin minerals carried out using previously unattainable levels of physics, enabled using machine learned interatomic potentials (MLIPs). The kaolin minerals represent systems which have evaded extensive computational study, due largely in part to the complex interlayer physics and large system sizes necessary to adequately compute properties of int

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

The rapid advent of internet of things (IoT) and smart edge–cloud infrastructures has intensified the demand for miniature embedded devices that meet tight power and performance constraints under dynamically changing conditions. While technology scaling and lower supply voltages have enabled ever-smaller, low-power systems, rising parametric variation, delay variability, and practical limits on vo

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

The accelerated growth in cloud computing technologies in the past decade has empowered a wide spectrum of cloud services, and this has originated a big challenge for cloud users, specifically for Infrastructure-as-a-Service (IaaS) users who find it difficult to choose a particular Virtual Machine (VM) type from the Cloud Providers (CP). Cloud application performance variability and IaaS pricing d

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

Edge computing has the advantage of harnessing compute capabilities on remote resources located at the edge of the network to run workloads of relatively weak user devices. On the other hand, cloud computing offers compute capabilities on remote resources located, generally, geographically far from user devices on substantially more powerful devices, compared to the edge. Combining two unique para

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 + Deakin Research Online + DMU Figshare2026 · dataset

To address the problems of low viscosity retention, and insufficient sand-carrying capacity for seawater-based fracturing fluids in deepwater high-temperature reservoirs, this study enhanced the fracturing fluid by adding modified nano-SiO₂ (M-NS). A seawater-based, high-temperature-resistant fracturing fluid system was constructed from M-NS and carboxymethyl hydroxypropyl guar gum (CMH

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">Research-data repository for research paper titled: Auditable Permissioned Blockchain with Proof of Observer.</p>

ZivaHub2026 · dataset

Recently, cloud computing and high-density data centers have intensified thermal management and fire safety challenges, creating a need for multifunctional EP composites with reliable thermal, electrical, mechanical, and flame-retardant performance. Inspired by the hierarchical fiber structure and strong interfacial interactions of natural bamboo, this work first synthesized poly(ether ether keton

ZivaHub2026 · dataset

<p dir="ltr">This poster describes work on a deterministic workflow that created a set of tools and a set of MD vaults describing versions of the Message Passing Interface Standard from versions 1.3 to 5.x. In addition, a 'hypervault' that works longitudinally across the standard versions is provided.</p><p dir="ltr">The findings were used to demonstrate compliance of three implementations of MPI

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports a study of <b>GPU power management, energy efficiency, and hardware-aware power prediction for deep-learning workloads</b>. The research characterizes five deep-learning architectures across NVIDIA Tesla T4 and Quadro GV100 GPUs, evaluates large-language-model-based GPU power predictions, and investigates the effects of hardware power capping on power consumption

figshare2026 · Astronomical catalogue

<p dir="ltr">Supplementary files for article "SUPREME: A multi-GPU framework for reproducible image unlearning method evaluation"</p><p dir="ltr"><br>This record contains the supplementary material for “SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation”, accepted at the 2nd Workshop on Machine Unlearning and Privacy Preservation (WIPE-OUT 2026), co-located with ECM

Teesside University Research Data Repository2026 · dataset

This deposit contains the complete analysis pipeline and derived result files for the study "Handover-Aware Conformal Throughput Intervals for Risk-Sensitive Rate Selection in Mobile 5G." It allows independent reproduction of every number, table, and figure reported in the paper. The work investigates whether conditioning conformal-prediction calibration on the mobility-regime state (radio-access

figshare2026 · Astronomical catalogue

<p dir="ltr">Unedited console and CSV outputs from the benchmark runs behind the preprint "Predictable Trading Infrastructure on Many-Core CPUs: Latency, concurrency, determinism, and repeatability on a single-socket AMD EPYC 9575F" (Chaitanya Palghadmal, Reamer Labs).</p><p dir="ltr">Every figure in the paper traces to one of the files in this archive. The data characterizes a measurable operatin

figshare2026 · Astronomical catalogue

This article outlines the design and implementation of an internet-of-things (IoT) platform for the monitoring of soil carbon dioxide (CO2) concentrations. As atmospheric CO2 continues to rise, accurate accounting of major carbon sources, such as soil, is essential to inform land management and government policy. Thus, a batch of IoT-connected CO2 sensor probes were developed for soil measurement.

figshare2026 · Astronomical catalogue

Businesses in the smart home sector are actively promoting the benefits of smart home technologies for consumers, such as convenience, economy and home security. To better understand meanings of and trust in the smart home, we carried out a nationally representative survey of UK consumers designed to measure adoption and acceptability, focusing on awareness, ownership, experience, trust, satisfact

REDU - Unicamp Institutional Research Data Repository2026 · dataset · unknown

The repository contains the main materials associated with the development and experimental evaluation of the proposed Smart Parking Digital Twin architecture: Architecture source code: source code and deployment configurations used to implement and deploy the proposed architecture across the Mist, Edge, Fog, and Cloud strategies; Experimental data: raw and processed datasets generated during the

figshare2026 · Astronomical catalogue

Wireless Internet of Things (IoT) devices will be deployed to enable applications such as sensing and actuation. These devices are typically resource-constrained and are unable to perform resource-intensive computations. Therefore, these jobs need to be offloaded to resource-rich nodes at the edge of the IoT network for execution. However, the timeliness and correctness of edge nodes may not be tr

figshare2026 · Astronomical catalogue

Resource-constrained Internet of Things (IoT) devices are executing increasingly sophisticated applications that may require computational or memory intensive tasks to be executed. Due to their resource constraints, IoT devices may be unable to compute these tasks and will offload them to more powerful resource-rich edge nodes. However, as edge nodes may not necessarily behave as expected, an IoT

figshare2026 · Astronomical catalogue

There is an increasing demand for Internet of Things (IoT) systems comprised of resource-constrained sensor and actuator nodes executing increasingly complex applications, possibly simultaneously. IoT devices will not be able to execute computationally expensive tasks and will require more powerful computing nodes, called edge nodes, for such execution, in a process called computation offloading.