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Articles 1 - 12 of 12
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Identification, Indexing, And Retrieval Of Cardio-Pulmonary Resuscitation (Cpr) Video Scenes Of Simulated Medical Crisis., Surangkana Rawungyot
Identification, Indexing, And Retrieval Of Cardio-Pulmonary Resuscitation (Cpr) Video Scenes Of Simulated Medical Crisis., Surangkana Rawungyot
Electronic Theses and Dissertations
Medical simulations, where uncommon clinical situations can be replicated, have proved to provide a more comprehensive training. Simulations involve the use of patient simulators, which are lifelike mannequins. After each session, the physician must manually review and annotate the recordings and then debrief the trainees. This process can be tedious and retrieval of specific video segments should be automated. In this dissertation, we propose a machine learning based approach to detect and classify scenes that involve rhythmic activities such as Cardio-Pulmonary Resuscitation (CPR) from training video sessions simulating medical crises. This applications requires different preprocessing techniques from other video applications. …
Ensemble Learning Method For Hidden Markov Models., Anis Hamdi
Ensemble Learning Method For Hidden Markov Models., Anis Hamdi
Electronic Theses and Dissertations
For complex classification systems, data are gathered from various sources and potentially have different representations. Thus, data may have large intra-class variations. In fact, modeling each data class with a single model might lead to poor generalization. The classification error can be more severe for temporal data where each sample is represented by a sequence of observations. Thus, there is a need for building a classification system that takes into account the variations within each class in the data. This dissertation introduces an ensemble learning method for temporal data that uses a mixture of Hidden Markov Model (HMM) classifiers. We …
A Non-Invasive Image Based System For Early Diagnosis Of Prostate Cancer., Ahmad Abdusalam Firjani Firjani Naef
A Non-Invasive Image Based System For Early Diagnosis Of Prostate Cancer., Ahmad Abdusalam Firjani Firjani Naef
Electronic Theses and Dissertations
Prostate cancer is the second most fatal cancer experienced by American males. The average American male has a 16.15% chance of developing prostate cancer, which is 8.38% higher than lung cancer, the second most likely cancer. The current in-vitro techniques that are based on analyzing a patients blood and urine have several limitations concerning their accuracy. In addition, the prostate Specific Antigen (PSA) blood-based test, has a high chance of false positive diagnosis, ranging from 28%-58%. Yet, biopsy remains the gold standard for the assessment of prostate cancer, but only as the last resort because of its invasive nature, high …
Avatar Captcha : Telling Computers And Humans Apart Via Face Classification And Mouse Dynamics., Darryl Felix D’Souza
Avatar Captcha : Telling Computers And Humans Apart Via Face Classification And Mouse Dynamics., Darryl Felix D’Souza
Electronic Theses and Dissertations
Bots are malicious, automated computer programs that execute malicious scripts and predefined functions on an affected computer. They pose cybersecurity threats and are one of the most sophisticated and common types of cybercrime tools today. They spread viruses, generate spam, steal personal sensitive information, rig online polls and commit other types of online crime and fraud. They sneak into unprotected systems through the Internet by seeking vulnerable entry points. They access the system’s resources like a human user does. Now the question arises how do we counter this? How do we prevent bots and on the other hand allow human …
Temporal Contextual Descriptors And Applications To Emotion Analysis., Haythem Balti
Temporal Contextual Descriptors And Applications To Emotion Analysis., Haythem Balti
Electronic Theses and Dissertations
The current trends in technology suggest that the next generation of services and devices allows smarter customization and automatic context recognition. Computers learn the behavior of the users and can offer them customized services depending on the context, location, and preferences. One of the most important challenges in human-machine interaction is the proper understanding of human emotions by machines and automated systems. In the recent years, the progress made in machine learning and pattern recognition led to the development of algorithms that are able to learn the detection and identification of human emotions from experience. These algorithms use different modalities …
Sdsf : Social-Networking Trust Based Distributed Data Storage And Co-Operative Information Fusion., Phani Chakravarthy Polina
Sdsf : Social-Networking Trust Based Distributed Data Storage And Co-Operative Information Fusion., Phani Chakravarthy Polina
Electronic Theses and Dissertations
As of 2014, about 2.5 quintillion bytes of data are created each day, and 90% of the data in the world was created in the last two years alone. The storage of this data can be on external hard drives, on unused space in peer-to-peer (P2P) networks or using the more currently popular approach of storing in the Cloud. When the users store their data in the Cloud, the entire data is exposed to the administrators of the services who can view and possibly misuse the data. With the growing popularity and usage of Cloud storage services like Google Drive, …
A Novel Diffusion Tensor Imaging-Based Computer-Aided Diagnostic System For Early Diagnosis Of Autism., Mahmoud Mostapha
A Novel Diffusion Tensor Imaging-Based Computer-Aided Diagnostic System For Early Diagnosis Of Autism., Mahmoud Mostapha
Electronic Theses and Dissertations
Autism spectrum disorders (ASDs) denote a significant growing public health concern. Currently, one in 68 children has been diagnosed with ASDs in the United States, and most children are diagnosed after the age of four, despite the fact that ASDs can be identified as early as age two. The ultimate goal of this thesis is to develop a computer-aided diagnosis (CAD) system for the accurate and early diagnosis of ASDs using diffusion tensor imaging (DTI). This CAD system consists of three main steps. First, the brain tissues are segmented based on three image descriptors: a visual appearance model that has …
Context Dependent Spectral Unmixing., Hamdi Jenzri
Context Dependent Spectral Unmixing., Hamdi Jenzri
Electronic Theses and Dissertations
A hyperspectral unmixing algorithm that finds multiple sets of endmembers is proposed. The algorithm, called Context Dependent Spectral Unmixing (CDSU), is a local approach that adapts the unmixing to different regions of the spectral space. It is based on a novel function that combines context identification and unmixing. This joint objective function models contexts as compact clusters and uses the linear mixing model as the basis for unmixing. Several variations of the CDSU, that provide additional desirable features, are also proposed. First, the Context Dependent Spectral unmixing using the Mahalanobis Distance (CDSUM) offers the advantage of identifying non-spherical clusters in …
A Novel Nmf-Based Dwi Cad Framework For Prostate Cancer., Patrick Mcclure
A Novel Nmf-Based Dwi Cad Framework For Prostate Cancer., Patrick Mcclure
Electronic Theses and Dissertations
In this thesis, a computer aided diagnostic (CAD) framework for detecting prostate cancer in DWI data is proposed. The proposed CAD method consists of two frameworks that use nonnegative matrix factorization (NMF) to learn meaningful features from sets of high-dimensional data. The first technique, is a three dimensional (3D) level-set DWI prostate segmentation algorithm guided by a novel probabilistic speed function. This speed function is driven by the features learned by NMF from 3D appearance, shape, and spatial data. The second technique, is a probabilistic classifier that seeks to label a prostate segmented from DWI data as either alignat, contain …
Privacy Protection In Context Aware Systems., Anala Aniruddha Pandit
Privacy Protection In Context Aware Systems., Anala Aniruddha Pandit
Electronic Theses and Dissertations
Smartphones, loaded with users’ personal information, are a primary computing device for many. Advent of 4G networks, IPV6 and increased number of subscribers to these has triggered a host of application developers to develop softwares that are easy to install on the mobile devices. During the application download process, users accept the terms and conditions that permit revelation of private information. The free application markets are sustainable as the revenue model for most of these service providers is through profiling of users and pushing advertisements to the users. This creates a serious threat to users privacy and hence it is …
Image Based Approach For Early Assessment Of Heart Failure., Hisham Z. Sliman
Image Based Approach For Early Assessment Of Heart Failure., Hisham Z. Sliman
Electronic Theses and Dissertations
In diagnosing heart diseases, the estimation of cardiac performance indices requires accurate segmentation of the left ventricle (LV) wall from cine cardiac magnetic resonance (CMR) images. MR imaging is noninvasive and generates clear images; however, it is impractical to manually process the huge number of images generated to calculate the performance indices. In this dissertation, we introduce a novel, fast, robust, bi-directional coupled parametric deformable models that are capable of segmenting the LV wall borders using first- and second-order visual appearance features. These features are embedded in a new stochastic external force that preserves the topology of the LV wall …
Text Stylometry For Chat Bot Identification And Intelligence Estimation., Nawaf Ali
Text Stylometry For Chat Bot Identification And Intelligence Estimation., Nawaf Ali
Electronic Theses and Dissertations
Authorship identification is a technique used to identify the author of an unclaimed document, by attempting to find traits that will match those of the original author. Authorship identification has a great potential for applications in forensics. It can also be used in identifying chat bots, a form of intelligent software created to mimic the human conversations, by their unique style. The online criminal community is utilizing chat bots as a new way to steal private information and commit fraud and identity theft. The need for identifying chat bots by their style is becoming essential to overcome the danger of …