University of North Carolina at Charlotte

About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.

Content analysis of Fortune 100 company Web sites

Abstract: Discusses the results of content analysis of the Web sites of Fortune 100 companies, carried out to identify the mix of promotional activities on their Web sites. Specifically, we performed a content analysis of Web sites utilizing categories representing a range of marketing communications, including: communicating product, pricing and dealer/retail location information, related and unrelated advertisements, sales promotion, direct marketing, basic company information and public relations. We also identified differences between and among industries based on standard industrial classification (SIC) codes. We found considerable variability in how members of the Fortune 100 used their Web sites. The Web sites ranged from very simple ones that focused on basic company information, such as company history, to quite complex Web sites that incorporated a mix of promotional elements, such as press releases, advertisements, games, free gifts and pricing information.

Multimodal Deep Learning for Cervical Dysplasia Diagnosis

Abstract: To improve the diagnostic accuracy of cervical dysplasia, it is important to fuse multimodal information collected during a patient’s screening visit. However, current multimodal frameworks suffer from low sensitivity at high specificity levels, due to their limitations in learning correlations among highly heterogeneous modalities. In this paper, we design a deep learning framework for cervical dysplasia diagnosis by leveraging multimodal information. We first employ the convolutional neural network (CNN) to convert the low-level image data into a feature vector fusible with other non-image modalities. We then jointly learn the non-linear correlations among all modalities in a deep neural network. Our multimodal framework is an end-to-end deep network which can learn better complementary features from the image and non-image modalities. It automatically gives the final diagnosis for cervical dysplasia with 87.83 % sensitivity at 90 % specificity on a large dataset, which significantly outperforms methods using any single source of information alone and previous multimodal frameworks.

Combining Probabilistic Load Forecasts

Abstract: Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting. Forecast combination, a widely recognized best practice in point forecasting literature, has never been formally adopted to combine probabilistic load forecasts. This paper proposes a constrained quantile regression averaging (CQRA) method to create an improved ensemble from several individual probabilistic forecasts. We formulate the CQRA parameter estimation problem as a linear program with the objective of minimizing the pinball loss and the constraints that the parameters are nonnegative and summing up to one. We demonstrate the effectiveness of the proposed method using two publicly available datasets, the ISO New England data and Irish smart meter data. Comparing with the best individual probabilistic forecast, the ensemble can reduce the pinball score by 4.39% on average. The proposed ensemble also demonstrates superior performance over nine other benchmark ensembles.

Biomedical Signal and Image Processing

Abstract: INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING Signals and Biomedical Signal Processing Introduction and Overview What is a "Signal"? Analog, Discrete, and Digital Signals Processing and Transformation of Signals Signal Processing for Feature Extraction Some Characteristics of Digital Images Summary Problems Fourier Transform Introduction and Overview One-Dimensional Continuous Fourier Transform Sampling and NYQUIST Rate One-Dimensional Discrete Fourier Transform Two-Dimensional Discrete Fourier Transform Filter Design Summary Problems Image Filtering, Enhancement, and Restoration Introduction and Overview Point Processing Mask Processing: Linear Filtering in the Space Domain Frequency Domain Filtering Summary Problems Edge Detection and Segmentation of Images Introduction and Overview Edge Detection Image Segmentation Summary Problems Wavelet Transform Introduction and Overview From Fourier Transform to Short-Time Fourier Transform One-Dimensional Continuous Wavelet Transform One-Dimensional Discrete Wavelet Transform Two-Dimensional Wavelet Transform Main Applications of the DWT Discrete Wavelet Transform in MATLAB Summary Problems Other Signal and Image Processing Methods Introduction and Overview Complexity Analysis Cosine Transform Introduction to Stochastic Processes Introduction to Information Theory Registration of Images Summary Problems Clustering and Classification Introduction and Overview Clustering versus Classification Feature Extraction K-Means: A Simple Clustering Method Bayesian Classifier Maximum Likelihood Method Neural Networks Summary Problems PROCESSING OF BIOMEDICAL SIGNALS Electrical Activities of Cell Introduction and Overview Ion Transport in Biological Cells Electrical Characteristics of Cell Membranes Hodgkin-Huxley Model Electrical Data Acquisition Some Practical Considerations for Biomedical Electrodes Summary Problems Electrocardiogram Introduction and Overview Function and Structure of the Heart Electrocardiogram: Signal of the Cardiovascular System Cardiovascular Diseases and the ECG Processing and Feature Extraction of ECGs Summary Problems Electroencephalogram Introduction and Overview The Brain and Its Functions Electroencephalogram: Signal of the Brain Evoked Potentials Diseases of the Central Nervous System and the EEG EEG for Assessment of Anesthesia Processing and Feature Extraction of EEGs Summary Problems Electromyogram Introduction and Overview Muscle EMG: Signal Muscles Neuromuscular Diseases and the EMG Other Applications of the EMG Processing and Feature Extraction of the EMG Summary Problems Other Biomedical Signals Introduction and Overview Blood Pressure and Blood Flow Electrooculogram Magnetoencephaogram Respiratory Signals More Biomedical Signals Summary Problems PROCESSING OF BIOMEDICAL IMAGES Principles of Computed Tomography Introduction and Overview Formulation of Attenuation Computed Tomography The Fourier Slice Theorem Summary Problems X-Ray Imaging and Computed Tomography Introduction and Overview Physics of X-Rays Attenuation-Based X-Ray Imaging Image Quality Computed Tomography Biomedical CT Scanners Diagnostic Applications of X-Ray Imaging CT Images for Stereotactic Surgeries CT Registration for Other Image-Guided Interventions Complications of X-Ray Imaging Summary Problems Magnetic Resonance Imaging Introduction and Overview Physical and Physiological Principles of MRI MRI Formulation of MRI Reconstruction Functional MRI (fMRI) Applications of MRI and fMRI Processing and Feature Extraction of MRI Comparison of MRI with Other Imaging Modalities Registration with MR Images Summary Problems Ultrasound Imaging Introduction and Overview Why Ultrasound Imaging? Generation and Detection of Ultrasound Waves Physical and Physiological Principles of Ultrasound Resolution of Ultrasound Imaging Systems Ultrasound Imaging Modalities Modes of Ultrasound Image Representation Ultrasound Image Artifacts Three-Dimensional Ultrasound Image Reconstruction Applications of Ultrasound Imaging Processing and Feature Extraction of Ultrasonic Images Image Registration Comparison of CT, MRI, and Ultrasonic Images Bio-Effects of Ultrasound Summary Problems Positron Emission Tomography Introduction and Overview Physical and Physiological Principles of PET PET Signal Acquisition PET Image Formation Significance of PET Applications of PET Processing and Feature Extraction of PET Images Comparison of CT, MRI, Ultrasonic, and PET Images Summary Problems Other Biomedical Imaging Techniques Introduction and Overview Optical Microscopy Fluorescent Microscopy Confocal Microscopy Near-Field Scanning Optical Microscopy Electrical Impedance Imaging Electron Microscopy Biometrics Summary Problems RELATED TITLES INDEX