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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 ...
DATA SCIENCE APPLICATIONS IN HEALTH AN SOCIAL CARE
(2018-12-04)
Health and social care are areas of concern worldwide nowadays. Chronic diseases such as cancer and social problems such as tobacco consumption are leading risks of deaths in many countries, and preventive efforts are ...
A Dynamic Policing Simulation Framework
(2018-12-11)
Crime is a serious problem to a society, and its costs are an economic burden. With the help of technology and developed tools, law enforcement agencies are making significant efforts to combat crime, so as to create a ...
ACCELERATED AGING OF A SWITCHING POWER SUPPLY PROTOTYPE
(2018-12-13)
The LVPS (Low Voltage Power Supply) is a switching power supply custom designed for the ATLAS Tile Calorimeter at the Large Hadron Collider in Geneva Switzerland. Over one thousand of these LVPS, also called ’bricks’, will ...
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ...
OPTIMIZING A SYSTEM OF ELECTRIC VEHICLE CHARGING STATIONS
(2018-05-07)
There has been a significant increase in the number of electric vehicles (EVs) mainly because of the need to have a greener living. Thus, ease of access to charging facilities is a prerequisite for large scale deployment ...