Department of Industrial, Manufacturing, and Systems Engineering: Recent submissions
Now showing items 41-60 of 167
-
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 ... -
A TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR ENHANCING SEISMIC RESILIENCE OF WATER PIPE NETWORKS
(2020-09-03)Earthquakes are sudden and inevitable disasters that can cause enormous losses and suffering, and having accessible water is critically important for earthquake victims. To address this challenge, utility managers do ... -
A NEW METHOD TO ESTIMATE THE IMPACT ON THE L5/SI SPINAL DISC FROM SPEED LIFTING OF UNSTABLE LOADS, ASYMMETRICALLY
(2020-08-10)Background: The most significant causes of lower back injuries at work are probably from manual lifting activities. Lifting unstable loads pose a significant strain to the lower back and can cause debilitating lumbar spine ... -
Adolescent Smoking Behavior in European Countries: Influences of Belief- and School-Related Factors
(Ecronicon, 2018-05-09)**Please note that the full text is embargoed** ABSTRACT: Abstract Background: Adolescent smoking remains one of the major public health concerns worldwide. Young smokers are highly likely to become adult smokers and develop ... -
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 ... -
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 ... -
ANALYZING COLLABORATION IN FOOD ASSISTANCE NETWORKS USING AGENT-BASED MODELING
(2019-08-05)To address the issue of food insecurity, many small independent agencies, known as food pantries, collect and distribute donated food to food-insecure clients. However, the supply of donated food varies significantly from ... -
A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
(2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
ROBUST, TIME-CRITICAL, EVIDENCE-BASED ADAPTIVE DATA FUSION
(2020-05-14)Sensors have become inevitable part of many studies and working areas ranging from navigation, transportation and medical applications. A sensor can help a user in a variety of situations including dangerous, inaccessible, ... -
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 ... -
Assessing the impact of Principal Component Analysis on accurately predicting melanoma diagnosis applied on different classification models
(2019-11-26)With huge amounts of data at our disposal in the medical field, mathematical models are built to diagnose diseases. This study focuses on melanoma because it’s the type of skin cancer that accounts for most deaths, up to ... -
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
(2019-12-16)In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ... -
MARS Knot Positioning and Global Optimization
(2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Predicting the Performance of Cryotherapy for Wart Treatment Using Machine Learning Algorithms
(2019)**Please note that the full text is embargoed** ABSTRACT: Warts are non-cancerous tumors that can appear on the top layer of skin of different parts of the human body. For the treatment of warts, cryotherapy, a method of ... -
Performance Evaluation of Median U-Turn Intersection for Alleviating Traffic Congestion: An Agent-Based Simulation Study
(2019)**Please note that the full text is embargoed** ABSTRACT: In recent years, urban mobility has become a big concern for Dhaka city, the capital of Bangladesh, due to severe traffic congestion. At-grade signalized intersections ... -
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
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 ... -
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 ... -
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 ... -
Sustainable Delivery System in a Temperature Controlled Supply Chain
(Institute of Industrial and Systems Engineers (IISE), 2018)A modern customer expects high quality of food products, and consequently, retailers must present their products in a decent quality to improve their reputation and customer retention in the market. There are many factors ...