Browsing by Advisor
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Building a semantic blog support system for gene Learning Objects on Web 2.0 environment / by Wei Yuan.
(2008)Blogging has become a popular practice on Internet in recent years, and it has been used as information publishing and participate platforms. In recent years, a style of blog called 'semantic blogs' have been introduced ... -
A data warehouse-oriented methodology for qualitative semi-structured web information and social networking sites' user status search
(2019)Finding most desired and useful information from the diverse information and content embedded on webpages has become more challenging due to the rapid growth of websites and webpages, dynamic changes and updates of ... -
Detecting Crohn’s disease from high resolution endoscopy videos: the thick data approach
(2023)Detecting diseases in high resolution endoscopy videos can be done in several ways depending on the methodology for detection. One such method that has been a hot topic in the field of medical technology research is the ... -
Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added-value
(2015-06-16)With the fast-growing Massive Open Online Courses (MOOC) community and the increase in the number of Learning Management Systems (LMSs) available online, the amount of shared information is massive. Current LMS - in ... -
Developing machine learning coding similarity indicators for C & C++ corpora
(2020)The digital data in this modern world is vulnerable to copying, altering and claiming someone else’s work as their own. Performing the same activity in programming assignments can be referred to as source-code theft or ... -
Improving cataract surgery procedure using machine learning and thick data analysis
(2023)Cataract surgery is one of the most frequent and safe Surgical operations are done globally, with approximately 16 million surgeries conducted each year. The entire operation is carried out under microscopical ... -
Multi-timeframe algorithmic trading bots using thick data heuristics with deep reinforcement learning
(2022)This thesis presents an augmented Artificial Intelligence (AI) algorithmic trading approach that combines Thick Data Heuristics (TDH), with Deep Reinforcement Learning (DRL), to successfully learn trading execution timing ... -
Ontological approach for searching multi datasource web services
(2006)This thesis addresses the issue of Web Service search. This thesis focuses on solving the problem of searching for Web Services which are associated with relatively similar datasources. It attempts to overcome the search ...