Quality prediction for injection molding by using a multilayer perceptron neural network

KC Ke, MS Huang - Polymers, 2020 - mdpi.com
Injection molding has been widely used in the mass production of high-precision products.
The finished products obtained through injection molding must have a high quality. Machine …

[HTML][HTML] Cloud services with big data provide a solution for monitoring and tracking sustainable development goals

B Wu, F Tian, M Zhang, H Zeng, Y Zeng - Geography and Sustainability, 2020 - Elsevier
Abstract To achieve the Sustainable Development Goals (SDGs), high-quality data are
needed to inform the formulation of policies and investment decisions, to monitor progress …

Implementation of serverless cloud GIS platform for land valuation

MO Mete, T Yomralioglu - International Journal of Digital Earth, 2021 - Taylor & Francis
Cloud computing enables performing computations and analysis tasks and sharing services
in web-based computer centres instead of local desktop systems. One of the most used …

[PDF][PDF] GIS Cloud: Integration between cloud things and geographic information systems (GIS) opportunities and challenges

TM Alfaqih, MM Hassan - International Journal on Computer …, 2016 - researchgate.net
Due the development of industries, and the big technological leap, it became necessary to
integrate GIS with cloud computing namely GIS Cloud, so take advantage of the services …

An integrated architectural framework for geoprocessing in cloud environment

RA AL Kharouf, AR Alzoubaidi, M Jweihan - Spatial Information Research, 2017 - Springer
Spatial data infrastructure had ensured the availability of geospatial data over the local and
global boundaries to be used in more flexible and efficient manner. With the enhancement in …

Exploring cloud-based Web Processing Service: A case study on the implementation of CMAQ as a Service

C Zhang, L Di, Z Sun, L Lin, GY Eugene… - … Modelling & Software, 2019 - Elsevier
As an important tool for air quality simulation, the Community Multiscale Air Quality (CMAQ)
model is widely used in the environmental modeling community. However, setting up and …

Inter-comparison of four models for detecting forest fire disturbance from MOD13A2 time series

J Yan, H He, L Wang, H Zhang, D Liang, J Zhang - Remote Sensing, 2022 - mdpi.com
Many models for change point detection from time series remote sensing images have been
developed to date. For forest ecosystems, fire disturbance detection models have always …

Implementation of geospatial data provenance in a web service workflow environment with ISO 19115 and ISO 19115-2 lineage model

L Di, Y Shao, L Kang - IEEE transactions on geoscience and …, 2013 - ieeexplore.ieee.org
Data provenance, also called data lineage, records the derivation history of a data product.
In the earth science domain, geospatial data provenance is important because it plays a …

Agent-as-a-service-based geospatial service aggregation in the cloud: A case study of flood response

X Tan, L Di, M Deng, F Huang, X Ye, Z Sha… - … modelling & software, 2016 - Elsevier
Abstract An Agent-as-a-Service (AaaS)-based geospatial service aggregation is proposed to
build a more efficient, robust and intelligent geospatial service system in the Cloud for flood …

Cloud computing based bushfire prediction for cyber–physical emergency applications

S Garg, J Aryal, H Wang, T Shah, G Kecskemeti… - Future Generation …, 2018 - Elsevier
In the past few years, several studies proposed to reduce the impact of bushfires by mapping
their occurrences and spread. Most of these prediction/mapping tools and models were …