Browsing Department of Industrial, Manufacturing, and Systems Engineering by Title
Now showing items 158-167 of 167
-
Uncovering Underlying Features for State Transition Modeling
(2019-09-06)Modeling of a dynamic system is the representation of the interconnectivity of system state variables and their evolutionary trajectory over time. In this dissertation, the terminology “state transition modeling” refers ... -
Unmanned Aerial Vehicle Routing In The Presence Of Threats
(Industrial & Manufacturing Engineering, 2014)The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles ... -
Unmanned Aerial Vehicle Routing With Limited Risk
(Industrial & Manufacturing Engineering, 2009-09-16)Due to safety and uninhabitable surrounding environments, long range Unmanned Aerial Vehicles (UAVs) have become an increasingly popular option in both scientific and military applications. With troubling oil prices, a ... -
Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection
(Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to develop new unsupervised data mining methods for functional data analysis and feature selection. Unsupervised learning is a modeling process that facilitates the extraction of ... -
An urban modelling framework for climate resilience in low-resource neighbourhoods
(Ubiquity Press, 2020-07-30)**Please note that the full text is embargoed** ABSTRACT: Climate predictions indicate a strong likelihood of more frequent, intense heat events. Resource-vulnerable, low-income neighbourhood populations are likely to be ... -
Using An AHP/ANP Hybrid Methodology For Freight Transport Networks Selection Towards Sustainable Transportation
(Industrial & Manufacturing Engineering, 2013-03-20)The selection of an effective transportation network for the transport of container freight is one of the most important factors in supply chain and logistics planning. The current transport networks, hub-and-spoke and ... -
Using Approximate Dynamic Programming to Control an Electric Vehicle Charging Station System
(2017-08-11)Dynamic programming (DP) as a mathematical programming approach to optimize a system evolving over time has been applied to solve the multi-stage optimization problems in a lot of areas such as manufacturing systems and ... -
USING EMPIRICAL DATA TO DESIGN AND VALIDATE HYBRID SIMULATION MODELS OF HUMAN BEHAVIOR IN SERVICE OPERATIONS
(2021-05-05)The purpose of this research is to examine how a change in a team member's role, team dynamics, and organizational policies impact an individual's motivation to engage in helping behavior, as well as the impact of helping ... -
Variants Of Multivariate Adaptive Regression Splines (MARS): Convex vs. Non-convex, Piecewise-linear vs. Smooth And Sequential Algorithms.
(Industrial & Manufacturing Engineering, 2013-10-23)Multivariate Adaptive Regression Splines (MARS) is a statistical modeling method used to represent high-dimensional data with interactions. It uses different algorithms to select the terms to be included in the approximation ... -
Wart Treatment Decision Support Using Support Vector Machine
(MECS (http://www.mecs-press.org/index.html), 2020-02)**Please note that the full text is embargoed** ABSTRACT: Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The success rates of cryotherapy and immunotherapy, two common treatment methods for ...