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Article
A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption
Contagious disease pandemics, such as COVID-19, can cause hospitals around the world to delay nonemergent elective surgeries, which results in a large surgery backlog. To develop an operational solution for pr...
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Article
Open AccessAn Analytical Approach for Dispatch Operations of Emergency Medical Services: A Case Study of COVID-19
Emergency medical services (EMS) aims to deliver timely ambulatory care to incidents in communities. However, the operations of EMS may contend with suddenly increasing demands resulting from unexpected disast...
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Article
Open AccessDeep multi-modal learning for joint linear representation of nonlinear dynamical systems
Dynamical systems pervasively seen in most real-life applications are complex and behave by following certain evolution rules or dynamical patterns, which are linear, non-linear, or stochastic. The underlying ...
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Article
Open AccessReal-time Inference and Detection of Disruptive EEG Networks for Epileptic Seizures
Recent studies in brain science and neurological medicine paid a particular attention to develop machine learning-based techniques for the detection and prediction of epileptic seizures with electroencephalogr...
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Article
Airline planning and scheduling: Models and solution methodologies
The airline industry is a representative industry with high cost and low profitability. Therefore, airlines should carefully plan their schedules to ensure that overall profit is maximized. We review the liter...
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Article
A preliminary study of fluid intake before bedtime and insomnia symptoms
The aim of this study is to determine whether there is a significant relationship between certain insomnia symptoms and drinking water shortly before bedtime as seen anecdotally in a clinical setting. A survey...
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Article
Applied optimization and data mining
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Article
Multi-pattern generation framework for logical analysis of data
Logical analysis of data (LAD) is a rule-based data mining algorithm using combinatorial optimization and boolean logic for binary classification. The goal is to construct a classification model consisting of ...
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Article
Open AccessExploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study
Feature selection plays a key role in multi-voxel pattern analysis because functional magnetic resonance imaging data are typically noisy, sparse, and high-dimensional. Although the conventional evaluation cri...
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Article
Open AccessBrain response pattern identification of fMRI data using a particle swarm optimization-based approach
Many neuroscience studies have been devoted to understand brain neural responses correlating to cognition using functional magnetic resonance imaging (fMRI). In contrast to univariate analysis to identify resp...
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Chapter and Conference Paper
A Simple Distance Based Seizure Onset Detection Algorithm Using Common Spatial Patterns
Existing seizure onset detection methods usually rely on a large number of extracted features regardless of computational efficiency, which reduces their applicability for real-time seizure detection. In this ...
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Chapter and Conference Paper
Acute Stress Detection Using Recurrence Quantification Analysis of Electroencephalogram (EEG) Signals
In the present work we intend to classify the brain states under physical stress and experimental control conditions based on the nonlinear features of electroencephalogram (EEG) dynamics using support vector ...
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Chapter and Conference Paper
Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States from Electroencephalography (EEG) Signals
We present a data fusion framework integrating graph theoretic and compressive sensing (CS) techniques to detect global neurophysiological states using high-resolution electroencephalography (EEG) recordings. ...
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Chapter and Conference Paper
Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings
The present study aims to build a classification model that discriminates between chronological ages of subjects based on resting-state electroencephalography (EEG) data collected from a community sample of 26...
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Chapter
An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data
Functional magnetic resonance imaging (fMRI) is a brain imaging technology primarily used to investigate how cognitive processes affect neural activity. Due to its non-invasiveness and high spatial resolution,...
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Chapter and Conference Paper
Information-Theoretic Based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data
Multi-voxel pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) data is an emerging approach for probing the neural correlates of cognition. MVPA allows cognitive representations and proces...
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Article
Pattern classification using tabu search to identify the spatial distribution of groundwater pum**
Pattern classification and Tabu Search are integrated to optimize the zonation and associated average groundwater pum** rates. A simulated problem analogous to the Choushui Creek Alluvial in Janghauh county ...
