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Evaluating the Impacts of Sleep Disruptions in Women through Automated Analysis (SJSL Framework)
(2016-07-27)
The proposed research suggests a solution for female sleep disruption by using automated analytics and attempts to improve our understanding of sleep disruption physiology. Although, sleep disruption monitoring is gaining ...
Evaluating the Impacts of the Internet of Things to Reduce Runway Incursions: Understanding the Why, How, and When
(2016-08-26)
The Federal Aviation Administration’s (FAA) mission is to maintain the safest and most efficient aerospace system in the world. The FAA has stated that runway safety is one of their top priorities, which encapsulates ...
DYNAMIC CONSTRAINT OPTIMAL SELECTION TECHNIQUES FOR LINEAR PROGRAMMING
(2016-05-13)
Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving ...
Proposing a Sparse Weighted Directed Network Construction Method and a Novel Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis and its Application in Medical Diagnostic Problems
(2018-08-24)
The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed ...
STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION
(2018-08-31)
Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted ...
TK-MARS: An Efficient Approach for Deterministic and Stochastic Black-Box Optimization
(2018-08-23)
Surrogate optimization approaches for black-box functions focus on approximating the underlying function, using metamodeling techniques, in order to optimize computationally expensive simulation models. Historically, ...
Adjusting for Time Varying Confounding in Adaptive Interdisciplinary Pain Management Program
(2018-09-10)
Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. ...
A PARAMETRIC PROCESS-BASED COST ESTIMATION FRAMEWORK TO SUPPORT CONCEPTUAL PRODUCT FAMILY DESIGN AND PRODUCTION
(2018-12-13)
In today’s globally competitive environment, production costs estimation is a challenging task. This competitive market has brought specific strategies in the manufacturing sector, such as introducing more new products ...
DEVELOPMENT OF A FRAMEWORK AND ANALYSIS SYSTEM TO SUPPORT INTERVENTION IN NEWBORN HEALTHCARE
(2017-11-27)
One of the most vulnerable populations in healthcare is the newborn infant. As hospitalization for childbirth is the largest cause for entry into a healthcare facility, the population of newborns each year is extensive as ...
Probability of Success in Program Management
(2017-11-16)
The field of Program Management is subject to high program failures. The Project Management Institute (PMI) states that 74% of programs are executed unsuccessfully (Mulcahy, Rita). The high rate of program failures is ...