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Needle in the Noise: Detecting Public Safety Events Over Twitter
Author(s):Paulson, Keith A.
Date Submitted:2019-05
The recent advent of using social media and search engine queries to detect and classifying events is an emerging area in data science. This study uses current Natural Language Processing (NLP) techniques for deep learning ...
Towards Automating Big Texts Security Classification
Author(s):Alzhrani, Khudran Maeed
Date Submitted:2018-05
The U.S Government has been the target of cyber-attacks from all over the world. Former President Obama accused the Russian government of leaking emails to WikiLeaks and declared that the U.S. might be forced to respond. ...
Autonomic performance and power control in virtualized datacenters
Author(s):Lama, Palden
Date Submitted:2013
Virtualized datacenters, the platform for supporting Cloud computing, allow diverse applications to share the underlying server resources. Due to the highly dynamic nature of Internet workloads, increasing complexity of ...
Learning Indoor Localization using Radio Received Signal Strength
Author(s):Kulkarni, Gauri
Date Submitted:2016-05
With this research we will investigate a novel machine learning approach to the prediction of location from received signal strength indicators (RSSI) values obtained from these transmitting access points. Indoor localization ...
Probabilistic Open Set Recognition
Author(s):Jain, Lalit Prithviraj
Date Submitted:2015
Real-world tasks in computer vision, pattern recognition and machine learning often touch upon the open set recognition problem: multi-class recognition with incomplete knowledge of the world and many unknown inputs. An ...
Towards More Secure Bluetooth Low Energy Beacon Technology
Author(s):Ashary, Ehab
Date Submitted:2020-05
Format:born digital; doctoral dissertations
In this dissertation we investigated the security of Bluetooth Low Energy (BLE) technology, in particular the beacon systems used to identify geolocation of the users. The vulnerabilities of the current BLE beacon systems ...
AUTOMATIC PARKING LOT DETECTION WITH IMAGE-BASED MACHINE LEARNING, DRONES AND MOBILE PLATFORMS
Author(s):Budia Tirado, Guillem
Date Submitted:2020-05
Format:born digital; masters theses
Many parking lot facilities suffer from capacity overloads and many times there are no monitoring tools to provide feedback. As a consequence, the people, wanting to park, become frustrated as there is considerably loss ...
MACHINE LEARNING TECHNIQUES APPLIED TO MUSICAL GENRE RECOGNITION
Author(s):Boxler, Daniel
Date Submitted:2020-05
Format:born digital; masters theses
With the wealth of music available at the fingertips of users around the world, there isan ever-increasing need for automatic classification of music for cataloguing of music fororganization and quicker retrieval which is ...
Detection And Analysis Of Software Clones
Author(s):Sheneamer, Abdullah Mohammad
Date Submitted:2017-08
Effective detection of code clones is important for software maintenance. Code clones introduce difficulty in software maintenance and lead to bug propagation. Detection of duplicated bugs within a piece of software is ...
Towards Literary Genre Identification: Applied Neural Networks for Large Text Classification
Author(s):Worsham, Joseph Michael
Date Submitted:2018-12
Recent advances in Natural Language Processing are finding ways to place an emphasis on the hierarchical nature of text instead of representing language as a flat sequence or unordered collection of words or letters. A ...