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Now showing items 11-20 of 62
Enhancing deep learning models for campaign participation prediction
(2019-07-31)
Companies engage with their customers in order to establish a long-term relationship. Targeting the right audience with the right product is crucial for providing better services to customers, increasing their loyalty to ...
Thermo-mechanical behavior of severely deformed titanium
(2017-06)
Thermo-mechanical processing of metallic materials has attracted noticeable interest due to the fact that these processing methods can be used to improve the mechanical properties. In this investigation, ultrafine grained ...
Investigation of corrosion in oil pipelines through surface nano-treatment
(2020-01)
Corrosion is the unintentional and degradation of a material caused by the reaction of that material with its environment and a natural possible hazard correlated with gas and oil generation and transportation facilities. ...
Quantifying the spillover of green products on consumer attitudes and umbrella brand sales
(2017-06)
Despite growing consumer attention to the environment, it is still unclear how and how much companies benefit from their large investments in 'green' products. This paper quantifies the positive spillover of sustainable ...
Digital oil refinery: utilizing real-time analytics and cloud computing over industrial sensor data
(2018-12-14)
This thesis addresses big data challenges seen in large-scale, mission-critical industrial plants such as oil refineries. These plants are equipped with heavy machinery (boilers, engines, turbines, etc.) that are continuously ...
Consumer studies about purchase, repeat purchase and word-of-mouth after deep discount online
(2015-06)
Daily deal sites are e-commerce businesses that offer deep discounts (e.g., 50%, 90%) for products and services to consumers through local service providers. These sites increase consumer's buying power and attract more ...
Effect of pH on particle agglomeration and radiative transfer in nanoparticle suspensions
(2018-08)
Nanoparticle suspensions (NPSs) are solid-fluid mixtures where small dielectric or metallic particles (with sizes <100 nm) used in a base fluid. NPSs have unique and tunable thermo-optical properties, and for that reason ...
Investigation of flame characteristics in a turbulent premixed combustion
(2018-10)
In this thesis, the turbulent flame closure (TFC) model and coherent flame model (CFM) of turbulent premixed flames as steady state flow are used. In addition, large eddy simulation (LES) model as unsteady state flow is ...
Thermal and radiative energy/exergy analyses of parabolic trough collector systems
(2018-08)
The concept of exergy is used to determine the maximum energy that can be extracted from a system. It is based on both the first and the second laws of thermodynamics and allows us to determine the irreversibilities ...
Runtime verification of internet of things using complex-event processing (RECEP)
(2018-06)
Increase in the computing power and memory accompanied with decreasing architectural footprints has enabled conquering new frontiers in proliferation of technology in the next industry revolution. More autonomous systems ...
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