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Optimal structure patterns for resilient corporate networks
(2019-12-13)
Corporate networks are sets of companies maintaining formal relations between them in the form of contracts (INSEE, 2016). This type of network is generally affected when unexpected events happen, such as financial crises ...
Comparison of Discrete Part Verification Using Coordinate Measuring Machine and Articulated Arm Coordinate Measuring Machine
(2019-12-13)
Quality assurance is key in manufacturing and assembling processes and is usually implemented by specifying and controlling tolerances and surface finish of important features, in discrete product manufacturing industry. ...
Benchmarking of Academic Departments using Data Envelopment Analysis (DEA)
(2019-08-01)
Departmental rankings are a primary factor in assessing the organizational performance and quality. Peer Assessment Scores are one of few metrics by which academic departmental performances are quantified. There are different ...
Community Vulnerability Perspectives on Infrastructure Network Resilience Decision Making
(2019-05-10)
Critical interdependent infrastructure networks such as water distribution, natural gas pipeline, electricity power, communication and transportation systems provide the essential necessities for societies and their ...
Quality Comparison of Three Fused Deposition Modeling (FDM) Printers at Different Cost Levels
(2019-12)
The purpose of this study was to better define how quality in terms of surface quality, dimensional accuracy, consistency/repeatability, and total build time vary based upon 3D printers in different cost levels. One FDM ...
Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application
(2019-05-10)
Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade. Multiple research projects have been carried out to adjust the ...
OPTIMIZING THE SPREAD OF INFLUENCE IN SOCIAL NETWORK COMMUNITY STRUCTURES
(2019-12-14)
Natural disasters and disruptive events were a major reason for researchers to study networks and community vulnerability. Detecting communities is considered a key element to better understand social networks. This detection ...