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TEXT EXTRACTION FROM IMAGES USING NEURAL NETWORKS
(East Carolina University, 2019-09-16)
Most western languages have witnessed the power of Artificial Intelligence (AI) in one other form. Primary fact for this achievement is due to the efforts of several researchers contributing to the field of computational ...
Utilizing Brain Activity to Non-Invasively Predict Blood Glucose Levels
(East Carolina University, 2016-12-16)
Diabetes Mellitus is a chronic condition that must be routinely self-monitored to prevent life threatening complications, diabetic coma, and to mitigate long-term complications, such as neuropathy and kidney failure. Despite ...
DEVELOPING A REAL-TIME DATA ANALYTICS FRAMEWORK FOR TWITTER STREAMING DATA
(East Carolina University, 2016-12-13)
Twitter is an online social networking service with more than 300 million users, generating a huge amount of information every day. Twitter's most important characteristic is its ability for users to tweet about events, ...
A framework for mining on Twitter data
(East Carolina University, 2016-12-13)
Motivated by the increasing need of information retrieval from social media, a lexicon-based approach Tweet Sentiment Classifier (TSC) is presented to determine sentiment from tweet along with a systematic software for ...
INVESTIGATING THE STAR SCHEMA BENCHMARK AS A REPLACEMENT FOR THE TPC-H DECISION SUPPORT SYSTEM
(East Carolina University, 2016-12-13)
Decision Support System (DSS) are at the core of business intelligence systems. Implementation costs for enterprise level Database Management System (DBMS) and DSS average $10,461 for installation costs. This does not ...
Automated classification of massive scale image data
(East Carolina University, 2016-12-13)
The diffraction image is a useful method to facilitate the representation of tiny entities such as the cell. It provides an efficient way to analyze the 3D morphological features of biological cells. However, the ...
INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM
(East Carolina University, 2016-08-29)
Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided in two ways: Content-based Filtering and Collaborative ...
Back-Projective Priming: Toward Efficient 3d Model-based Object Recognition via Preemptive Top-down Constraints
(East Carolina University, 2016-07-25)
This thesis introduces back-projective priming, a computer vision technique that synergistically fuses object recognition and pose estimation by augmenting 3D models with geometric constraints. It also enables the use of ...